Files
OmniRoute/scripts/ad-hoc/mesh-send.mjs
Praveen K Palaniswamy 65e81158ab fix(ollama): route models by advertised capability (#11088)
Landed with the design call resolved per the owner's pick — **option 1**: the synced store is now endpoint-agnostic (persistDiscoveredModels and managedModelImport no longer drop non-chat models at write time), and chat selectability moved to read time (auto-pool expansion in autoStrategy applies filterChatSelectableModels; the models-route projection already had its chatOnly filter). Your discovery test now passes end-to-end (3/3): /api/show capabilities persist per connection and image/embedding requests route through the advertising host.

Reconciliation notes: conflicted areas merged onto the current tip (adobe discovery import, requestedModel preflight signature, resolvedProvider fast-path coexists with the synced-route override — explicit resolution wins); carried base-red drains (#10055 memoization, #11071 test variants) dropped as already-landed; the managed-model-import exclusion test was propagated to the new contract (image/video models persist; the read filter still hides them from chat pickers — pinned by a new assertion). Full battery: 205/206 focused (the one red is a confirmed periodic-timer timing flake on the loaded devbox — 20/20 isolated), autoCombo vitest 30/30, combo suites 46/46, gates + typecheck clean.

Thank you @yourspraveen — the capability probe + routing design was right; it just needed the store contract opened up. Fixes #11087.
2026-08-23 11:45:01 -03:00

43 lines
1.3 KiB
JavaScript

// Helper único para enviar replies/notes no bridge do bot da mesh.
// Lê BOT_URL e BOT_TOKEN do ambiente (nunca embutidos).
// Uso: BOT_URL=... BOT_TOKEN=... node scripts/ad-hoc/mesh-send.mjs <cmd> <json-file|->
// cmd: reply | note
import { readFileSync } from "node:fs";
const [cmd, path] = process.argv.slice(2);
const BOT_URL = process.env.BOT_URL;
const BOT_TOKEN = process.env.BOT_TOKEN;
const input = path === "-" ? readFileSync(0, "utf8") : readFileSync(path, "utf8");
const items = JSON.parse(input);
const sleep = (ms) => new Promise((r) => setTimeout(r, ms));
async function send(item) {
// endpoint de reply; mode presente => note
const body = {
messageId: item.id,
text: item.text,
...(cmd === "note" ? { mode: "note" } : {}),
};
const res = await fetch(`${BOT_URL}/internal/bridge/reply`, {
method: "POST",
headers: {
Authorization: `Bearer ${BOT_TOKEN}`,
"Content-Type": "application/json",
},
body: JSON.stringify(body),
});
const txt = await res.text();
console.log(`[${cmd}] ${item.id.slice(0, 12)}${res.status} ${txt.slice(0, 80)}`);
}
for (const item of items) {
try {
await send(item);
} catch (e) {
console.log(`[${cmd}] ${item.id.slice(0, 12)} → ERRO ${e.message}`);
}
await sleep(1000); // pace ~1s
}