130	async function main() {
131	  let data;
132	  try {
133	    data = await fetchUsage();
134	  } catch (err) {
135	    const out = { error: `Failed to reach CodexBar: ${err.message}`, burnable: 0 };
136	    if (JSON_MODE) console.log(JSON.stringify(out));
137	    else console.error(out.error);
138	    process.exit(1);
139	  }
140
141	  const providers = data.providers ?? [];
142
143	  // Claude is the constraint for autonomous work routing
144	  const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? "")) ?? null;
145	  const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);
146
147	  const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);
148	  const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);
149	  const burnable = Math.min(burnable5h, burnable7d);
150
151	  if (CHECK_MODE) {
152	    process.stdout.write(burnable.toFixed(1) + "\n");
153	    return;
154	  }
155
156	  const tier = quotaTier(burnable);
157	  const projects = routeProjects(tier, w7d);
158
159	  // Reset time for the tighter window (5h if depleted, else whichever is constraining)
160	  const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;
161	  const resetAt = nextResetAt(constraintWindow);
162
163	  const result = {
164	    timestamp: new Date().toISOString(),
165	    providers: providers.map((p) => {
166	      const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
167	      return {
168	        name: p.name,
169	        "5h": p5h ? {
170	          used_pct: p5h.pct,
171	          remaining_pct: remaining(p5h),
172	          resets_in_sec: p5h.resets_in_sec,
173	        } : null,
174	        "7d": p7d ? {
175	          used_pct: p7d.pct,
176	          remaining_pct: remaining(p7d),
177	          resets_in_sec: p7d.resets_in_sec,
178	        } : null,
179	      };
180	    }),
181	    claude: {
182	      "5h": w5h ? { used_pct: w5h.pct, remaining_pct: remaining(w5h), burnable_pct: +burnable5h.toFixed(1), resets_in_sec: w5h.resets_in_sec } : null,
183	      "7d": w7d ? { used_pct: w7d.pct, remaining_pct: remaining(w7d), burnable_pct: +burnable7d.toFixed(1), resets_in_sec: w7d.resets_in_sec } : null,
184	    },
185	    burnable_pct: +burnable.toFixed(1),
186	    tier: tier.tier,
187	    tier_label: tier.label,
188	    next_reset_at: resetAt,
189	    projects,
190	  };
191
192	  if (JSON_MODE) {
193	    console.log(JSON.stringify(result, null, 2));
194	    return;
195	  }
196
197	  // Human-readable summary
198	  console.log(`\n=== Portfolio Autopilot — ${result.timestamp} ===\n`);
199
200	  for (const p of providers) {
201	    const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
202	    const rem5 = p5h ? remaining(p5h).toFixed(0) : "?";
203	    const rem7 = p7d ? remaining(p7d).toFixed(0) : "?";
204	    const r5 = p5h ? (p5h.resets_in_sec < 0 ? "just reset" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : "";
205	    const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : "";
206	    console.log(`${p.name.padEnd(8)}  5h: ${rem5.padStart(3)}% remaining (${r5})   7d: ${rem7.padStart(3)}% remaining (${r7})`);
207	  }
208
209	  console.log(`\nClaude burnable — 5h: ${burnable5h.toFixed(1)}%   7d: ${burnable7d.toFixed(1)}%   effective: ${burnable.toFixed(1)}%`);

async function main() {
  let data;
  try {
    data = await fetchUsage();
  } catch (err) {
    const out = { error: `Failed to reach CodexBar: ${err.message}`, burnable: 0 };
    if (JSON_MODE) console.log(JSON.stringify(out));
    else console.error(out.error);
    process.exit(1);
  }

  const providers = data.providers ?? [];

  // Claude is the constraint for autonomous work routing
  const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? "")) ?? null;
  const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);

  const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);
  const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);
  const burnable = Math.min(burnable5h, burnable7d);

  if (CHECK_MODE) {
    process.stdout.write(burnable.toFixed(1) + "\n");
    return;
  }

  const tier = quotaTier(burnable);
  const projects = routeProjects(tier, w7d);

  // Reset time for the tighter window (5h if depleted, else whichever is constraining)
  const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;
  const resetAt = nextResetAt(constraintWindow);

  const result = {
    timestamp: new Date().toISOString(),
    providers: providers.map((p) => {
      const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
      return {
        name: p.name,
        "5h": p5h ? {
          used_pct: p5h.pct,
          remaining_pct: remaining(p5h),
          resets_in_sec: p5h.resets_in_sec,
        } : null,
        "7d": p7d ? {
          used_pct: p7d.pct,
          remaining_pct: remaining(p7d),
          resets_in_sec: p7d.resets_in_sec,
        } : null,
      };
    }),
    claude: {
      "5h": w5h ? { used_pct: w5h.pct, remaining_pct: remaining(w5h), burnable_pct: +burnable5h.toFixed(1), resets_in_sec: w5h.resets_in_sec } : null,
      "7d": w7d ? { used_pct: w7d.pct, remaining_pct: remaining(w7d), burnable_pct: +burnable7d.toFixed(1), resets_in_sec: w7d.resets_in_sec } : null,
    },
    burnable_pct: +burnable.toFixed(1),
    tier: tier.tier,
    tier_label: tier.label,
    next_reset_at: resetAt,
    projects,
  };

  if (JSON_MODE) {
    console.log(JSON.stringify(result, null, 2));
    return;
  }

  // Human-readable summary
  console.log(`\n=== Portfolio Autopilot — ${result.timestamp} ===\n`);

  for (const p of providers) {
    const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
    const rem5 = p5h ? remaining(p5h).toFixed(0) : "?";
    const rem7 = p7d ? remaining(p7d).toFixed(0) : "?";
    const r5 = p5h ? (p5h.resets_in_sec < 0 ? "just reset" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : "";
    const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : "";
    console.log(`${p.name.padEnd(8)}  5h: ${rem5.padStart(3)}% remaining (${r5})   7d: ${rem7.padStart(3)}% remaining (${r7})`);
  }

  console.log(`\nClaude burnable — 5h: ${burnable5h.toFixed(1)}%   7d: ${burnable7d.toFixed(1)}%   effective: ${burnable.toFixed(1)}%`);


Edit

  const result = {
    timestamp: new Date().toISOString(),
    providers: providers.map((p) => {
      const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
      return {
        name: p.name,
        "5h": p5h ? {
          used_pct: p5h.pct,
          remaining_pct: remaining(p5h),
          resets_in_sec: p5h.resets_in_sec,
        } : null,
        "7d": p7d ? {
          used_pct: p7d.pct,
          remaining_pct: remaining(p7d),
          resets_in_sec: p7d.resets_in_sec,
        } : null,
      };
    }),
    claude: {

  const untrackedProviders = (config.untracked_providers ?? []).map((p) => ({
    name: p.name,
    tracked: false,
    note: p.note,
  }));

  const result = {
    timestamp: new Date().toISOString(),
    providers: [
      ...providers.map((p) => {
        const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
        return {
          name: p.name,
          tracked: true,
          "5h": p5h ? {
            used_pct: p5h.pct,
            remaining_pct: remaining(p5h),
            resets_in_sec: p5h.resets_in_sec,
          } : null,
          "7d": p7d ? {
            used_pct: p7d.pct,
            remaining_pct: remaining(p7d),
            resets_in_sec: p7d.resets_in_sec,
          } : null,
        };
      }),
      ...untrackedProviders,
    ],
    claude: {


The file /workspace/agent/autopilot.mjs has been updated successfully. (file state is current in your context — no need to Read it back)

  const untrackedProviders = (config.untracked_providers ?? []).map((p) => ({
    name: p.name,
    tracked: false,
    note: p.note,
  }));

  const result = {
    timestamp: new Date().toISOString(),
    providers: [
      ...providers.map((p) => {
        const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
        return {
          name: p.name,
          tracked: true,
          "5h": p5h ? {
            used_pct: p5h.pct,
            remaining_pct: remaining(p5h),
            resets_in_sec: p5h.resets_in_sec,
          } : null,
          "7d": p7d ? {
            used_pct: p7d.pct,
            remaining_pct: remaining(p7d),
            resets_in_sec: p7d.resets_in_sec,
          } : null,
        };
      }),
      ...untrackedProviders,
    ],
    claude: {

/**
 * Portfolio Autopilot — quota reader + routing logic
 *
 * Reads CodexBar usage, computes burnable quota, and outputs a routing decision:
 * which projects are eligible to run and at what model tier.
 *
 * Usage:
 *   node autopilot.mjs              → prints routing summary to stdout
 *   node autopilot.mjs --json       → prints routing decision as JSON
 *   node autopilot.mjs --check      → prints only burnable pct (for scripts)
 *
 * NOTE: CodexBar `pct` field = percent USED (consumed). Remaining = 100 - pct.
 */

// Bypass proxy for local Docker host
process.env.NO_PROXY = [process.env.NO_PROXY, "host.docker.internal"]
  .filter(Boolean)
  .join(",");

import { readFileSync } from "fs";
import { fileURLToPath } from "url";
import { dirname, join } from "path";

const __dirname = dirname(fileURLToPath(import.meta.url));
const config = JSON.parse(
  readFileSync(join(__dirname, "autopilot-config.json"), "utf8")
);

const JSON_MODE = process.argv.includes("--json");
const CHECK_MODE = process.argv.includes("--check");

// ─── Quota Reader ────────────────────────────────────────────────────────────

async function fetchUsage() {
  const res = await fetch(config.codexbar_url);
  if (!res.ok) throw new Error(`CodexBar returned ${res.status}`);
  return res.json();
}

/** pct = percent used; remaining = 100 - pct */
function remaining(window) {
  return 100 - (window?.pct ?? 100);
}

/**
 * Extract matching windows from a provider's windows array.
 * Returns { w5h, w7d } — each has .label, .pct (used%), .resets_in_sec, .duration_sec
 */
function extractWindows(windows = []) {
  const w5h = windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null;
  const w7d = windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null;
  return { w5h, w7d };
}

/** resets_in_sec = -1 means the window just reset (no timer established yet); treat as full duration */
function effectiveResetsIn(window) {
  if (!window) return 0;
  return window.resets_in_sec < 0 ? window.duration_sec : window.resets_in_sec;
}

/** ISO timestamp for when this window resets */
function nextResetAt(window) {
  if (!window) return null;
  const sec = effectiveResetsIn(window);
  return new Date(Date.now() + sec * 1000).toISOString();
}

// ─── Adaptive Reserve Formula ────────────────────────────────────────────────

/**
 * adaptive_reserve_pct = base_reserve_pct × (resets_in_sec / window_duration_sec)
 * burnable_pct         = remaining_pct − adaptive_reserve_pct
 */
function computeBurnable(window, basePct) {
  if (!window) return 0;
  const rem = remaining(window);
  if (rem <= 0) return 0;
  const timeRatio = effectiveResetsIn(window) / window.duration_sec;
  const adaptiveReserve = basePct * timeRatio;
  return Math.max(0, rem - adaptiveReserve);
}

// ─── Tier Routing ────────────────────────────────────────────────────────────

function quotaTier(burnablePct) {
  if (burnablePct <= 0)  return { tier: "zero",    label: "No autonomous work",           allowedPriorities: [],               implementationModel: null };
  if (burnablePct < 5)   return { tier: "minimal", label: "Maintenance only (LM Studio)", allowedPriorities: ["P1"],           implementationModel: "lm-studio" };
  if (burnablePct < 20)  return { tier: "low",     label: "P1 only — Gemini/Haiku",       allowedPriorities: ["P1"],           implementationModel: "gemini-or-haiku" };
  if (burnablePct < 50)  return { tier: "medium",  label: "P1+P2 — Claude Sonnet",        allowedPriorities: ["P1", "P2"],     implementationModel: "claude-sonnet" };
  return                        { tier: "high",    label: "P1+P2+P3 — Claude Sonnet",     allowedPriorities: ["P1", "P2", "P3"], implementationModel: "claude-sonnet" };
}

/**
 * Sustainable burn rate gate for P2/P3.
 * Passes if actual consumption is below the smooth-curve expected level.
 */
function sustainableGatePasses(window) {
  if (!window) return false;
  const windowHours = window.duration_sec / 3600;
  const resets = effectiveResetsIn(window);
  const elapsedHours = (window.duration_sec - resets) / 3600;
  const expectedConsumed = (100 / windowHours) * elapsedHours;
  const actualConsumed = window.pct ?? 0; // pct = used%
  return actualConsumed < expectedConsumed;
}

// ─── Project Routing ─────────────────────────────────────────────────────────

function routeProjects(tier, w7d) {
  const sustainableGate = w7d ? sustainableGatePasses(w7d) : true;
  const projects = [];

  for (const [project, priority] of Object.entries(config.project_priorities)) {
    if (!tier.allowedPriorities.includes(priority)) {
      projects.push({ project, priority, decision: "skip", reason: "quota tier" });
      continue;
    }
    if (priority !== "P1" && !sustainableGate) {
      projects.push({ project, priority, decision: "skip", reason: "burn rate above sustainable pace" });
      continue;
    }
    projects.push({ project, priority, decision: "proceed", implementationModel: tier.implementationModel });
  }

  return projects;
}

// ─── Main ────────────────────────────────────────────────────────────────────

async function main() {
  let data;
  try {
    data = await fetchUsage();
  } catch (err) {
    const out = { error: `Failed to reach CodexBar: ${err.message}`, burnable: 0 };
    if (JSON_MODE) console.log(JSON.stringify(out));
    else console.error(out.error);
    process.exit(1);
  }

  const providers = data.providers ?? [];

  // Claude is the constraint for autonomous work routing
  const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? "")) ?? null;
  const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);

  const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);
  const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);
  const burnable = Math.min(burnable5h, burnable7d);

  if (CHECK_MODE) {
    process.stdout.write(burnable.toFixed(1) + "\n");
    return;
  }

  const tier = quotaTier(burnable);
  const projects = routeProjects(tier, w7d);

  // Reset time for the tighter window (5h if depleted, else whichever is constraining)
  const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;
  const resetAt = nextResetAt(constraintWindow);

  const result = {
    timestamp: new Date().toISOString(),
    providers: providers.map((p) => {
      const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
      return {
        name: p.name,
        "5h": p5h ? {
          used_pct: p5h.pct,
          remaining_pct: remaining(p5h),
          resets_in_sec: p5h.resets_in_sec,
        } : null,
        "7d": p7d ? {
          used_pct: p7d.pct,
          remaining_pct: remaining(p7d),
          resets_in_sec: p7d.resets_in_sec,
        } : null,
      };
    }),
    claude: {
      "5h": w5h ? { used_pct: w5h.pct, remaining_pct: remaining(w5h), burnable_pct: +burnable5h.toFixed(1), resets_in_sec: w5h.resets_in_sec } : null,
      "7d": w7d ? { used_pct: w7d.pct, remaining_pct: remaining(w7d), burnable_pct: +burnable7d.toFixed(1), resets_in_sec: w7d.resets_in_sec } : null,
    },
    burnable_pct: +burnable.toFixed(1),
    tier: tier.tier,
    tier_label: tier.label,
    next_reset_at: resetAt,
    projects,
  };

  if (JSON_MODE) {
    console.log(JSON.stringify(result, null, 2));
    return;
  }

  // Human-readable summary
  console.log(`\n=== Portfolio Autopilot — ${result.timestamp} ===\n`);

  for (const p of providers) {
    const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
    const rem5 = p5h ? remaining(p5h).toFixed(0) : "?";
    const rem7 = p7d ? remaining(p7d).toFixed(0) : "?";
    const r5 = p5h ? (p5h.resets_in_sec < 0 ? "just reset" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : "";
    const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : "";
    console.log(`${p.name.padEnd(8)}  5h: ${rem5.padStart(3)}% remaining (${r5})   7d: ${rem7.padStart(3)}% remaining (${r7})`);
  }

  console.log(`\nClaude burnable — 5h: ${burnable5h.toFixed(1)}%   7d: ${burnable7d.toFixed(1)}%   effective: ${burnable.toFixed(1)}%`);
  console.log(`Quota tier: ${tier.tier.toUpperCase()} — ${tier.label}`);
  if (resetAt) console.log(`Next reset: ${resetAt}`);
  console.log();

  const proceeding = projects.filter((p) => p.decision === "proceed");
  const skipped = projects.filter((p) => p.decision === "skip");

  if (proceeding.length === 0) {
    console.log("No projects eligible to run.");
  } else {
    console.log("Eligible projects:");
    for (const p of proceeding) {
      console.log(`  ✓ ${p.project} (${p.priority}) — model: ${p.implementationModel}`);
    }
  }

  if (skipped.length > 0) {
    console.log("\nSkipped:");
    for (const p of skipped) {
      console.log(`  ✗ ${p.project} (${p.priority}) — ${p.reason}`);
    }
  }

  console.log("");
}

main();

+  const untrackedProviders = (config.untracked_providers ?? []).map((p) => ({

-      const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);

-          remaining_pct: remaining(p5h),

-          resets_in_sec: p5h.resets_in_sec,

-          remaining_pct: remaining(p7d),

-          resets_in_sec: p7d.resets_in_sec,

+        const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);

+            remaining_pct: remaining(p5h),

+            resets_in_sec: p5h.resets_in_sec,

+            remaining_pct: remaining(p7d),

+            resets_in_sec: p7d.resets_in_sec,


Now update the human-readable output to show untracked providers too:


  for (const p of providers) {
    const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
    const rem5 = p5h ? remaining(p5h).toFixed(0) : "?";
    const rem7 = p7d ? remaining(p7d).toFixed(0) : "?";
    const r5 = p5h ? (p5h.resets_in_sec < 0 ? "just reset" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : "";
    const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : "";
    console.log(`${p.name.padEnd(8)}  5h: ${rem5.padStart(3)}% remaining (${r5})   7d: ${rem7.padStart(3)}% remaining (${r7})`);
  }

  for (const p of providers) {
    const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
    const rem5 = p5h ? remaining(p5h).toFixed(0) : "?";
    const rem7 = p7d ? remaining(p7d).toFixed(0) : "?";
    const r5 = p5h ? (p5h.resets_in_sec < 0 ? "just reset" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : "";
    const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : "";
    console.log(`${p.name.padEnd(8)}  5h: ${rem5.padStart(3)}% remaining (${r5})   7d: ${rem7.padStart(3)}% remaining (${r7})`);
  }
  for (const p of untrackedProviders) {
    console.log(`${p.name.padEnd(8)}  (untracked — always available)`);
  }


  for (const p of providers) {
    const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
    const rem5 = p5h ? remaining(p5h).toFixed(0) : "?";
    const rem7 = p7d ? remaining(p7d).toFixed(0) : "?";
    const r5 = p5h ? (p5h.resets_in_sec < 0 ? "just reset" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : "";
    const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : "";
    console.log(`${p.name.padEnd(8)}  5h: ${rem5.padStart(3)}% remaining (${r5})   7d: ${rem7.padStart(3)}% remaining (${r7})`);
  }
  for (const p of untrackedProviders) {
    console.log(`${p.name.padEnd(8)}  (untracked — always available)`);
  }

/**
 * Portfolio Autopilot — quota reader + routing logic
 *
 * Reads CodexBar usage, computes burnable quota, and outputs a routing decision:
 * which projects are eligible to run and at what model tier.
 *
 * Usage:
 *   node autopilot.mjs              → prints routing summary to stdout
 *   node autopilot.mjs --json       → prints routing decision as JSON
 *   node autopilot.mjs --check      → prints only burnable pct (for scripts)
 *
 * NOTE: CodexBar `pct` field = percent USED (consumed). Remaining = 100 - pct.
 */

// Bypass proxy for local Docker host
process.env.NO_PROXY = [process.env.NO_PROXY, "host.docker.internal"]
  .filter(Boolean)
  .join(",");

import { readFileSync } from "fs";
import { fileURLToPath } from "url";
import { dirname, join } from "path";

const __dirname = dirname(fileURLToPath(import.meta.url));
const config = JSON.parse(
  readFileSync(join(__dirname, "autopilot-config.json"), "utf8")
);

const JSON_MODE = process.argv.includes("--json");
const CHECK_MODE = process.argv.includes("--check");

// ─── Quota Reader ────────────────────────────────────────────────────────────

async function fetchUsage() {
  const res = await fetch(config.codexbar_url);
  if (!res.ok) throw new Error(`CodexBar returned ${res.status}`);
  return res.json();
}

/** pct = percent used; remaining = 100 - pct */
function remaining(window) {
  return 100 - (window?.pct ?? 100);
}

/**
 * Extract matching windows from a provider's windows array.
 * Returns { w5h, w7d } — each has .label, .pct (used%), .resets_in_sec, .duration_sec
 */
function extractWindows(windows = []) {
  const w5h = windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null;
  const w7d = windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null;
  return { w5h, w7d };
}

/** resets_in_sec = -1 means the window just reset (no timer established yet); treat as full duration */
function effectiveResetsIn(window) {
  if (!window) return 0;
  return window.resets_in_sec < 0 ? window.duration_sec : window.resets_in_sec;
}

/** ISO timestamp for when this window resets */
function nextResetAt(window) {
  if (!window) return null;
  const sec = effectiveResetsIn(window);
  return new Date(Date.now() + sec * 1000).toISOString();
}

// ─── Adaptive Reserve Formula ────────────────────────────────────────────────

/**
 * adaptive_reserve_pct = base_reserve_pct × (resets_in_sec / window_duration_sec)
 * burnable_pct         = remaining_pct − adaptive_reserve_pct
 */
function computeBurnable(window, basePct) {
  if (!window) return 0;
  const rem = remaining(window);
  if (rem <= 0) return 0;
  const timeRatio = effectiveResetsIn(window) / window.duration_sec;
  const adaptiveReserve = basePct * timeRatio;
  return Math.max(0, rem - adaptiveReserve);
}

// ─── Tier Routing ────────────────────────────────────────────────────────────

function quotaTier(burnablePct) {
  if (burnablePct <= 0)  return { tier: "zero",    label: "No autonomous work",           allowedPriorities: [],               implementationModel: null };
  if (burnablePct < 5)   return { tier: "minimal", label: "Maintenance only (LM Studio)", allowedPriorities: ["P1"],           implementationModel: "lm-studio" };
  if (burnablePct < 20)  return { tier: "low",     label: "P1 only — Gemini/Haiku",       allowedPriorities: ["P1"],           implementationModel: "gemini-or-haiku" };
  if (burnablePct < 50)  return { tier: "medium",  label: "P1+P2 — Claude Sonnet",        allowedPriorities: ["P1", "P2"],     implementationModel: "claude-sonnet" };
  return                        { tier: "high",    label: "P1+P2+P3 — Claude Sonnet",     allowedPriorities: ["P1", "P2", "P3"], implementationModel: "claude-sonnet" };
}

/**
 * Sustainable burn rate gate for P2/P3.
 * Passes if actual consumption is below the smooth-curve expected level.
 */
function sustainableGatePasses(window) {
  if (!window) return false;
  const windowHours = window.duration_sec / 3600;
  const resets = effectiveResetsIn(window);
  const elapsedHours = (window.duration_sec - resets) / 3600;
  const expectedConsumed = (100 / windowHours) * elapsedHours;
  const actualConsumed = window.pct ?? 0; // pct = used%
  return actualConsumed < expectedConsumed;
}

// ─── Project Routing ─────────────────────────────────────────────────────────

function routeProjects(tier, w7d) {
  const sustainableGate = w7d ? sustainableGatePasses(w7d) : true;
  const projects = [];

  for (const [project, priority] of Object.entries(config.project_priorities)) {
    if (!tier.allowedPriorities.includes(priority)) {
      projects.push({ project, priority, decision: "skip", reason: "quota tier" });
      continue;
    }
    if (priority !== "P1" && !sustainableGate) {
      projects.push({ project, priority, decision: "skip", reason: "burn rate above sustainable pace" });
      continue;
    }
    projects.push({ project, priority, decision: "proceed", implementationModel: tier.implementationModel });
  }

  return projects;
}

// ─── Main ────────────────────────────────────────────────────────────────────

async function main() {
  let data;
  try {
    data = await fetchUsage();
  } catch (err) {
    const out = { error: `Failed to reach CodexBar: ${err.message}`, burnable: 0 };
    if (JSON_MODE) console.log(JSON.stringify(out));
    else console.error(out.error);
    process.exit(1);
  }

  const providers = data.providers ?? [];

  // Claude is the constraint for autonomous work routing
  const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? "")) ?? null;
  const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);

  const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);
  const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);
  const burnable = Math.min(burnable5h, burnable7d);

  if (CHECK_MODE) {
    process.stdout.write(burnable.toFixed(1) + "\n");
    return;
  }

  const tier = quotaTier(burnable);
  const projects = routeProjects(tier, w7d);

  // Reset time for the tighter window (5h if depleted, else whichever is constraining)
  const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;
  const resetAt = nextResetAt(constraintWindow);

  const untrackedProviders = (config.untracked_providers ?? []).map((p) => ({
    name: p.name,
    tracked: false,
    note: p.note,
  }));

  const result = {
    timestamp: new Date().toISOString(),
    providers: [
      ...providers.map((p) => {
        const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
        return {
          name: p.name,
          tracked: true,
          "5h": p5h ? {
            used_pct: p5h.pct,
            remaining_pct: remaining(p5h),
            resets_in_sec: p5h.resets_in_sec,
          } : null,
          "7d": p7d ? {
            used_pct: p7d.pct,
            remaining_pct: remaining(p7d),
            resets_in_sec: p7d.resets_in_sec,
          } : null,
        };
      }),
      ...untrackedProviders,
    ],
    claude: {
      "5h": w5h ? { used_pct: w5h.pct, remaining_pct: remaining(w5h), burnable_pct: +burnable5h.toFixed(1), resets_in_sec: w5h.resets_in_sec } : null,
      "7d": w7d ? { used_pct: w7d.pct, remaining_pct: remaining(w7d), burnable_pct: +burnable7d.toFixed(1), resets_in_sec: w7d.resets_in_sec } : null,
    },
    burnable_pct: +burnable.toFixed(1),
    tier: tier.tier,
    tier_label: tier.label,
    next_reset_at: resetAt,
    projects,
  };

  if (JSON_MODE) {
    console.log(JSON.stringify(result, null, 2));
    return;
  }

  // Human-readable summary
  console.log(`\n=== Portfolio Autopilot — ${result.timestamp} ===\n`);

  for (const p of providers) {
    const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
    const rem5 = p5h ? remaining(p5h).toFixed(0) : "?";
    const rem7 = p7d ? remaining(p7d).toFixed(0) : "?";
    const r5 = p5h ? (p5h.resets_in_sec < 0 ? "just reset" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : "";
    const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : "";
    console.log(`${p.name.padEnd(8)}  5h: ${rem5.padStart(3)}% remaining (${r5})   7d: ${rem7.padStart(3)}% remaining (${r7})`);
  }

  console.log(`\nClaude burnable — 5h: ${burnable5h.toFixed(1)}%   7d: ${burnable7d.toFixed(1)}%   effective: ${burnable.toFixed(1)}%`);
  console.log(`Quota tier: ${tier.tier.toUpperCase()} — ${tier.label}`);
  if (resetAt) console.log(`Next reset: ${resetAt}`);
  console.log();

  const proceeding = projects.filter((p) => p.decision === "proceed");
  const skipped = projects.filter((p) => p.decision === "skip");

  if (proceeding.length === 0) {
    console.log("No projects eligible to run.");
  } else {
    console.log("Eligible projects:");
    for (const p of proceeding) {
      console.log(`  ✓ ${p.project} (${p.priority}) — model: ${p.implementationModel}`);
    }
  }

  if (skipped.length > 0) {
    console.log("\nSkipped:");
    for (const p of skipped) {
      console.log(`  ✗ ${p.project} (${p.priority}) — ${p.reason}`);
    }
  }

  console.log("");
}

main();

+  for (const p of untrackedProviders) {

+    console.log(`${p.name.padEnd(8)}  (untracked — always available)`);


Now update the autopilot-trigger.mjs to include untracked providers in the JSON it passes to the prompt:


1	/**
2	 * autopilot-trigger.mjs — scheduled trigger script for portfolio-autopilot
3	 *
4	 * Returns { wakeAgent: true, data } when burnable quota exists and eligible projects are ready.
5	 * Returns { wakeAgent: false, reason, next_reset_at? } otherwise.
6	 *
7	 * NOTE: CodexBar `pct` = percent USED. remaining = 100 - pct.
8	 */
9
10	process.env.NO_PROXY = [process.env.NO_PROXY, "host.docker.internal"]
11	  .filter(Boolean)
12	  .join(",");
13
14	import { readFileSync } from "fs";
15	import { fileURLToPath } from "url";
16	import { dirname, join } from "path";
17
18	const __dirname = dirname(fileURLToPath(import.meta.url));
19	const config = JSON.parse(
20	  readFileSync(join(__dirname, "autopilot-config.json"), "utf8")
21	);
22
23	function remaining(w) { return 100 - (w?.pct ?? 100); }
24	function effectiveResetsIn(w) { return (!w || w.resets_in_sec < 0) ? (w?.duration_sec ?? 0) : w.resets_in_sec; }
25	function nextResetAt(w) { if (!w) return null; return new Date(Date.now() + effectiveResetsIn(w) * 1000).toISOString(); }
26
27	function extractWindows(windows = []) {
28	  return {
29	    w5h: windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null,
30	    w7d: windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null,
31	  };
32	}
33
34	function computeBurnable(w, basePct) {
35	  if (!w) return 0;
36	  const rem = remaining(w);
37	  if (rem <= 0) return 0;
38	  const timeRatio = effectiveResetsIn(w) / w.duration_sec;
39	  return Math.max(0, rem - basePct * timeRatio);
40	}
41
42	function quotaTier(burnablePct) {
43	  if (burnablePct <= 0) return { tier: "zero",    allowedPriorities: [],               implementationModel: null };
44	  if (burnablePct < 5)  return { tier: "minimal", allowedPriorities: ["P1"],           implementationModel: "lm-studio" };
45	  if (burnablePct < 20) return { tier: "low",     allowedPriorities: ["P1"],           implementationModel: "gemini-or-haiku" };
46	  if (burnablePct < 50) return { tier: "medium",  allowedPriorities: ["P1", "P2"],     implementationModel: "claude-sonnet" };
47	  return                       { tier: "high",    allowedPriorities: ["P1", "P2", "P3"], implementationModel: "claude-sonnet" };
48	}
49
50	function sustainableGatePasses(w) {
51	  if (!w) return false;
52	  const elapsedHours = (w.duration_sec - effectiveResetsIn(w)) / 3600;
53	  const expectedConsumed = (100 / (w.duration_sec / 3600)) * elapsedHours;
54	  return (w.pct ?? 0) < expectedConsumed; // pct = used%
55	}
56
57	async function main() {
58	  let data;
59	  try {
60	    const res = await fetch(config.codexbar_url);
61	    if (!res.ok) throw new Error(`HTTP ${res.status}`);
62	    data = await res.json();
63	  } catch (err) {
64	    console.log(JSON.stringify({ wakeAgent: false, reason: `codexbar_unreachable: ${err.message}` }));
65	    return;
66	  }
67
68	  const providers = data.providers ?? [];
69	  const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? "")) ?? null;
70	  const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);
71
72	  const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);
73	  const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);
74	  const burnable = Math.min(burnable5h, burnable7d);
75
76	  // Next reset time — for the constraining window, so the agent can schedule an immediate wake
77	  const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;
78	  const next_reset_at = nextResetAt(constraintWindow);
79
80	  // All-provider snapshot (for context in the agent prompt)
81	  const providerSnapshot = providers.map((p) => {
82	    const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
83	    return {
84	      name: p.name,
85	      "5h_remaining_pct": p5h ? remaining(p5h) : null,
86	      "7d_remaining_pct": p7d ? remaining(p7d) : null,
87	    };
88	  });
89
90	  const tier = quotaTier(burnable);
91	  if (tier.tier === "zero") {
92	    console.log(JSON.stringify({ wakeAgent: false, reason: "no_burnable_quota", next_reset_at, providerSnapshot }));
93	    return;
94	  }
95
96	  const sustainableGate = w7d ? sustainableGatePasses(w7d) : true;
97	  const eligibleProjects = Object.entries(config.project_priorities)
98	    .filter(([_, pri]) => tier.allowedPriorities.includes(pri))
99	    .filter(([_, pri]) => pri === "P1" || sustainableGate)
100	    .map(([project, priority]) => ({ project, priority }));
101
102	  if (eligibleProjects.length === 0) {
103	    console.log(JSON.stringify({ wakeAgent: false, reason: "no_eligible_projects", next_reset_at, providerSnapshot }));
104	    return;
105	  }
106
107	  console.log(JSON.stringify({
108	    wakeAgent: true,
109	    data: {
110	      burnable_pct: +burnable.toFixed(1),
111	      tier: tier.tier,
112	      implementationModel: tier.implementationModel,
113	      eligibleProjects,
114	      next_reset_at,
115	      providerSnapshot,
116	      claude_windows: {
117	        "5h": w5h ? { remaining_pct: remaining(w5h), resets_in_sec: w5h.resets_in_sec } : null,
118	        "7d": w7d ? { remaining_pct: remaining(w7d), resets_in_sec: w7d.resets_in_sec } : null,
119	      },
120	    },
121	  }));
122	}
123
124	main();
125

/**
 * autopilot-trigger.mjs — scheduled trigger script for portfolio-autopilot
 *
 * Returns { wakeAgent: true, data } when burnable quota exists and eligible projects are ready.
 * Returns { wakeAgent: false, reason, next_reset_at? } otherwise.
 *
 * NOTE: CodexBar `pct` = percent USED. remaining = 100 - pct.
 */

process.env.NO_PROXY = [process.env.NO_PROXY, "host.docker.internal"]
  .filter(Boolean)
  .join(",");

import { readFileSync } from "fs";
import { fileURLToPath } from "url";
import { dirname, join } from "path";

const __dirname = dirname(fileURLToPath(import.meta.url));
const config = JSON.parse(
  readFileSync(join(__dirname, "autopilot-config.json"), "utf8")
);

function remaining(w) { return 100 - (w?.pct ?? 100); }
function effectiveResetsIn(w) { return (!w || w.resets_in_sec < 0) ? (w?.duration_sec ?? 0) : w.resets_in_sec; }
function nextResetAt(w) { if (!w) return null; return new Date(Date.now() + effectiveResetsIn(w) * 1000).toISOString(); }

function extractWindows(windows = []) {
  return {
    w5h: windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null,
    w7d: windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null,
  };
}

function computeBurnable(w, basePct) {
  if (!w) return 0;
  const rem = remaining(w);
  if (rem <= 0) return 0;
  const timeRatio = effectiveResetsIn(w) / w.duration_sec;
  return Math.max(0, rem - basePct * timeRatio);
}

function quotaTier(burnablePct) {
  if (burnablePct <= 0) return { tier: "zero",    allowedPriorities: [],               implementationModel: null };
  if (burnablePct < 5)  return { tier: "minimal", allowedPriorities: ["P1"],           implementationModel: "lm-studio" };
  if (burnablePct < 20) return { tier: "low",     allowedPriorities: ["P1"],           implementationModel: "gemini-or-haiku" };
  if (burnablePct < 50) return { tier: "medium",  allowedPriorities: ["P1", "P2"],     implementationModel: "claude-sonnet" };
  return                       { tier: "high",    allowedPriorities: ["P1", "P2", "P3"], implementationModel: "claude-sonnet" };
}

function sustainableGatePasses(w) {
  if (!w) return false;
  const elapsedHours = (w.duration_sec - effectiveResetsIn(w)) / 3600;
  const expectedConsumed = (100 / (w.duration_sec / 3600)) * elapsedHours;
  return (w.pct ?? 0) < expectedConsumed; // pct = used%
}

async function main() {
  let data;
  try {
    const res = await fetch(config.codexbar_url);
    if (!res.ok) throw new Error(`HTTP ${res.status}`);
    data = await res.json();
  } catch (err) {
    console.log(JSON.stringify({ wakeAgent: false, reason: `codexbar_unreachable: ${err.message}` }));
    return;
  }

  const providers = data.providers ?? [];
  const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? "")) ?? null;
  const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);

  const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);
  const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);
  const burnable = Math.min(burnable5h, burnable7d);

  // Next reset time — for the constraining window, so the agent can schedule an immediate wake
  const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;
  const next_reset_at = nextResetAt(constraintWindow);

  // All-provider snapshot (for context in the agent prompt)
  const providerSnapshot = providers.map((p) => {
    const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
    return {
      name: p.name,
      "5h_remaining_pct": p5h ? remaining(p5h) : null,
      "7d_remaining_pct": p7d ? remaining(p7d) : null,
    };
  });

  const tier = quotaTier(burnable);
  if (tier.tier === "zero") {
    console.log(JSON.stringify({ wakeAgent: false, reason: "no_burnable_quota", next_reset_at, providerSnapshot }));
    return;
  }

  const sustainableGate = w7d ? sustainableGatePasses(w7d) : true;
  const eligibleProjects = Object.entries(config.project_priorities)
    .filter(([_, pri]) => tier.allowedPriorities.includes(pri))
    .filter(([_, pri]) => pri === "P1" || sustainableGate)
    .map(([project, priority]) => ({ project, priority }));

  if (eligibleProjects.length === 0) {
    console.log(JSON.stringify({ wakeAgent: false, reason: "no_eligible_projects", next_reset_at, providerSnapshot }));
    return;
  }

  console.log(JSON.stringify({
    wakeAgent: true,
    data: {
      burnable_pct: +burnable.toFixed(1),
      tier: tier.tier,
      implementationModel: tier.implementationModel,
      eligibleProjects,
      next_reset_at,
      providerSnapshot,
      claude_windows: {
        "5h": w5h ? { remaining_pct: remaining(w5h), resets_in_sec: w5h.resets_in_sec } : null,
        "7d": w7d ? { remaining_pct: remaining(w7d), resets_in_sec: w7d.resets_in_sec } : null,
      },
    },
  }));
}

main();


Create portfolio board infrastructure (BOARD.md, PLAN.md, project cards)

Fix Gemini availability in autopilot.mjs (nanoclaw P1)

Update project card and BOARD.md, log run, schedule next reset-wake

Updating board, logging run, scheduling next wake


  // All-provider snapshot (for context in the agent prompt)
  const providerSnapshot = providers.map((p) => {
    const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
    return {
      name: p.name,
      "5h_remaining_pct": p5h ? remaining(p5h) : null,
      "7d_remaining_pct": p7d ? remaining(p7d) : null,
    };
  });

  // All-provider snapshot (for context in the agent prompt)
  const trackedSnapshot = providers.map((p) => {
    const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
    return {
      name: p.name,
      tracked: true,
      "5h_remaining_pct": p5h ? remaining(p5h) : null,
      "7d_remaining_pct": p7d ? remaining(p7d) : null,
    };
  });
  const untrackedSnapshot = (config.untracked_providers ?? []).map((p) => ({
    name: p.name,
    tracked: false,
    note: p.note,
  }));
  const providerSnapshot = [...trackedSnapshot, ...untrackedSnapshot];


The file /workspace/agent/autopilot-trigger.mjs has been updated successfully. (file state is current in your context — no need to Read it back)

  // All-provider snapshot (for context in the agent prompt)
  const trackedSnapshot = providers.map((p) => {
    const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
    return {
      name: p.name,
      tracked: true,
      "5h_remaining_pct": p5h ? remaining(p5h) : null,
      "7d_remaining_pct": p7d ? remaining(p7d) : null,
    };
  });
  const untrackedSnapshot = (config.untracked_providers ?? []).map((p) => ({
    name: p.name,
    tracked: false,
    note: p.note,
  }));
  const providerSnapshot = [...trackedSnapshot, ...untrackedSnapshot];

/**
 * autopilot-trigger.mjs — scheduled trigger script for portfolio-autopilot
 *
 * Returns { wakeAgent: true, data } when burnable quota exists and eligible projects are ready.
 * Returns { wakeAgent: false, reason, next_reset_at? } otherwise.
 *
 * NOTE: CodexBar `pct` = percent USED. remaining = 100 - pct.
 */

process.env.NO_PROXY = [process.env.NO_PROXY, "host.docker.internal"]
  .filter(Boolean)
  .join(",");

import { readFileSync } from "fs";
import { fileURLToPath } from "url";
import { dirname, join } from "path";

const __dirname = dirname(fileURLToPath(import.meta.url));
const config = JSON.parse(
  readFileSync(join(__dirname, "autopilot-config.json"), "utf8")
);

function remaining(w) { return 100 - (w?.pct ?? 100); }
function effectiveResetsIn(w) { return (!w || w.resets_in_sec < 0) ? (w?.duration_sec ?? 0) : w.resets_in_sec; }
function nextResetAt(w) { if (!w) return null; return new Date(Date.now() + effectiveResetsIn(w) * 1000).toISOString(); }

function extractWindows(windows = []) {
  return {
    w5h: windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null,
    w7d: windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null,
  };
}

function computeBurnable(w, basePct) {
  if (!w) return 0;
  const rem = remaining(w);
  if (rem <= 0) return 0;
  const timeRatio = effectiveResetsIn(w) / w.duration_sec;
  return Math.max(0, rem - basePct * timeRatio);
}

function quotaTier(burnablePct) {
  if (burnablePct <= 0) return { tier: "zero",    allowedPriorities: [],               implementationModel: null };
  if (burnablePct < 5)  return { tier: "minimal", allowedPriorities: ["P1"],           implementationModel: "lm-studio" };
  if (burnablePct < 20) return { tier: "low",     allowedPriorities: ["P1"],           implementationModel: "gemini-or-haiku" };
  if (burnablePct < 50) return { tier: "medium",  allowedPriorities: ["P1", "P2"],     implementationModel: "claude-sonnet" };
  return                       { tier: "high",    allowedPriorities: ["P1", "P2", "P3"], implementationModel: "claude-sonnet" };
}

function sustainableGatePasses(w) {
  if (!w) return false;
  const elapsedHours = (w.duration_sec - effectiveResetsIn(w)) / 3600;
  const expectedConsumed = (100 / (w.duration_sec / 3600)) * elapsedHours;
  return (w.pct ?? 0) < expectedConsumed; // pct = used%
}

async function main() {
  let data;
  try {
    const res = await fetch(config.codexbar_url);
    if (!res.ok) throw new Error(`HTTP ${res.status}`);
    data = await res.json();
  } catch (err) {
    console.log(JSON.stringify({ wakeAgent: false, reason: `codexbar_unreachable: ${err.message}` }));
    return;
  }

  const providers = data.providers ?? [];
  const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? "")) ?? null;
  const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);

  const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);
  const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);
  const burnable = Math.min(burnable5h, burnable7d);

  // Next reset time — for the constraining window, so the agent can schedule an immediate wake
  const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;
  const next_reset_at = nextResetAt(constraintWindow);

  // All-provider snapshot (for context in the agent prompt)
  const providerSnapshot = providers.map((p) => {
    const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
    return {
      name: p.name,
      "5h_remaining_pct": p5h ? remaining(p5h) : null,
      "7d_remaining_pct": p7d ? remaining(p7d) : null,
    };
  });

  const tier = quotaTier(burnable);
  if (tier.tier === "zero") {
    console.log(JSON.stringify({ wakeAgent: false, reason: "no_burnable_quota", next_reset_at, providerSnapshot }));
    return;
  }

  const sustainableGate = w7d ? sustainableGatePasses(w7d) : true;
  const eligibleProjects = Object.entries(config.project_priorities)
    .filter(([_, pri]) => tier.allowedPriorities.includes(pri))
    .filter(([_, pri]) => pri === "P1" || sustainableGate)
    .map(([project, priority]) => ({ project, priority }));

  if (eligibleProjects.length === 0) {
    console.log(JSON.stringify({ wakeAgent: false, reason: "no_eligible_projects", next_reset_at, providerSnapshot }));
    return;
  }

  console.log(JSON.stringify({
    wakeAgent: true,
    data: {
      burnable_pct: +burnable.toFixed(1),
      tier: tier.tier,
      implementationModel: tier.implementationModel,
      eligibleProjects,
      next_reset_at,
      providerSnapshot,
      claude_windows: {
        "5h": w5h ? { remaining_pct: remaining(w5h), resets_in_sec: w5h.resets_in_sec } : null,
        "7d": w7d ? { remaining_pct: remaining(w7d), resets_in_sec: w7d.resets_in_sec } : null,
      },
    },
  }));
}

main();

-  const providerSnapshot = providers.map((p) => {

+  const trackedSnapshot = providers.map((p) => {

+  const untrackedSnapshot = (config.untracked_providers ?? []).map((p) => ({

+  const providerSnapshot = [...trackedSnapshot, ...untrackedSnapshot];


Now test the updated autopilot:


Bash

Test updated autopilot with Gemini in output


(node:501) [UNDICI-EHPA] Warning: EnvHttpProxyAgent is experimental, expect them to change at any time.
(Use `node --trace-warnings ...` to show where the warning was created)

=== Portfolio Autopilot — 2026-07-07T15:04:27.647Z ===

Claude    5h: 100% remaining (resets in 286m)   7d:  87% remaining (resets in 102h)
Codex     5h: 100% remaining (resets in 300m)   7d:  72% remaining (resets in 145h)
Gemini    (untracked — always available)
LM Studio  (untracked — always available)

Claude burnable — 5h: 76.2%   7d: 77.9%   effective: 76.2%
Quota tier: HIGH — P1+P2+P3 — Claude Sonnet
Next reset: 2026-07-07T19:49:59.647Z

Eligible projects:
  ✓ StageHand (P1) — model: claude-sonnet
  ✓ nanoclaw (P1) — model: claude-sonnet
  ✓ AgenticLever (P2) — model: claude-sonnet
  ✓ RoadSense (P2) — model: claude-sonnet
  ✓ qip-qien (P2) — model: claude-sonnet
  ✓ congressional-trading (P3) — model: claude-sonnet
  ✓ TradingBot25 (P3) — model: claude-sonnet


Gemini and LM Studio now show in the output. Now update the board, log the run, and schedule the next reset-wake:


TodoWrite

Create portfolio board infrastructure (BOARD.md, PLAN.md, project cards)

Fix Gemini availability in autopilot.mjs (nanoclaw P1)

Update project card and BOARD.md, log run, schedule next reset-wake

Updating board, logging run, scheduling next wake


Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable


Edit

## Next action

Fix Gemini provider in autopilot routing (add as always-available synthetic provider since CodexBar doesn't track it).

## Next action

Design and implement planning-tier + human-checkpoint layer: smart model for planning phase, auto red-team critique, hold for James's sign-off before implementation starts on Greenfield work.


The file /workspace/extra/second-brain/portfolio/projects/nanoclaw.md has been updated successfully. (file state is current in your context — no need to Read it back)

## Next action

Design and implement planning-tier + human-checkpoint layer: smart model for planning phase, auto red-team critique, hold for James's sign-off before implementation starts on Greenfield work.

# nanoclaw

**Priority:** P1
**Stage:** build
**Guard:** autonomous-ok
**Goal:** Build the factory infrastructure — quota-aware autopilot, routing logic, planning-tier design — so all other projects can accelerate on top of it.

## Next action

Fix Gemini provider in autopilot routing (add as always-available synthetic provider since CodexBar doesn't track it).

## Backlog

- Planning-tier design: smart model for planning, auto red-team, human checkpoint before implementation starts
- Closed-loop quota tuning: track quota spent vs output, drift thresholds toward right values over time
- Gemini quota tracking (no CodexBar support — monitor manually or via Gemini API if available)

## Notes

- 2026-07-07: Autopilot routing logic built (autopilot.mjs, autopilot-trigger.mjs, autopilot-config.json). CodexBar integration working. Adaptive reserve formula implemented.
- 2026-07-07: Priority order confirmed by James: P1=nanoclaw/StageHand, P2=AgenticLever/RoadSense/qip-qien, P3=congressional-trading/TradingBot25
- 2026-07-07: Reddit ingestion dropped — Reddit restricted OAuth app creation, content signal too low.
- 2026-07-07: Portfolio board created (seeded from conversation history) — this was missing from second-brain.

-Fix Gemini provider in autopilot routing (add as always-available synthetic provider since CodexBar doesn't track it).

+Design and implement planning-tier + human-checkpoint layer: smart model for planning phase, auto red-team critique, hold for James's sign-off before implementation starts on Greenfield work.


- 2026-07-07: Portfolio board created (seeded from conversation history) — this was missing from second-brain.

- 2026-07-07: Portfolio board created (seeded from conversation history) — this was missing from second-brain.
- 2026-07-07: Fixed Gemini + LM Studio in autopilot output — added as untracked_providers in config. Both now appear in routing summary as always-available. Gemini confirmed as $20/mo subscription.


- 2026-07-07: Portfolio board created (seeded from conversation history) — this was missing from second-brain.
- 2026-07-07: Fixed Gemini + LM Studio in autopilot output — added as untracked_providers in config. Both now appear in routing summary as always-available. Gemini confirmed as $20/mo subscription.

# nanoclaw

**Priority:** P1
**Stage:** build
**Guard:** autonomous-ok
**Goal:** Build the factory infrastructure — quota-aware autopilot, routing logic, planning-tier design — so all other projects can accelerate on top of it.

## Next action

Design and implement planning-tier + human-checkpoint layer: smart model for planning phase, auto red-team critique, hold for James's sign-off before implementation starts on Greenfield work.

## Backlog

- Planning-tier design: smart model for planning, auto red-team, human checkpoint before implementation starts
- Closed-loop quota tuning: track quota spent vs output, drift thresholds toward right values over time
- Gemini quota tracking (no CodexBar support — monitor manually or via Gemini API if available)

## Notes

- 2026-07-07: Autopilot routing logic built (autopilot.mjs, autopilot-trigger.mjs, autopilot-config.json). CodexBar integration working. Adaptive reserve formula implemented.
- 2026-07-07: Priority order confirmed by James: P1=nanoclaw/StageHand, P2=AgenticLever/RoadSense/qip-qien, P3=congressional-trading/TradingBot25
- 2026-07-07: Reddit ingestion dropped — Reddit restricted OAuth app creation, content signal too low.
- 2026-07-07: Portfolio board created (seeded from conversation history) — this was missing from second-brain.

+- 2026-07-07: Fixed Gemini + LM Studio in autopilot output — added as untracked_providers in config. Both now appear in routing summary as always-available. Gemini confirmed as $20/mo subscription.


| nanoclaw | P1 | build | autonomous-ok | Fix Gemini provider in autopilot routing | 2026-07-07 |

| nanoclaw | P1 | build | autonomous-ok | Design planning-tier + human-checkpoint layer for autopilot | 2026-07-07 |


The file /workspace/extra/second-brain/portfolio/BOARD.md has been updated successfully. (file state is current in your context — no need to Read it back)

# Portfolio Board

_Last updated: 2026-07-07_

## Projects

| Project | Priority | Stage | Guard | Next action | Last activity |
|---------|----------|-------|-------|-------------|---------------|
| nanoclaw | P1 | build | autonomous-ok | Fix Gemini provider in autopilot routing | 2026-07-07 |
| StageHand | P1 | discovery | autonomous-ok | Confirm with James: goal and scope for real estate video suite | 2026-07-07 |
| AgenticLever | P2 | maintain | autonomous-ok | Confirm with James: current goal and next milestone | 2026-07-07 |
| RoadSense | P2 | test | autonomous-ok | Investigate and fix thorny UI issue | 2026-07-06 |
| qip-qien | P2 | feedback | review-required | Confirm with James: active trial status and what's blocking | 2026-07-07 |
| congressional-trading | P3 | build | autonomous-ok | Review uncommitted changes and commit/clean up | 2026-07-06 |
| TradingBot25 | P3 | build | review-required | Confirm with James: current goal and active work | 2026-07-07 |

## Decision queue

1. **StageHand goal** — What is the target outcome for StageHand? (Real estate video automation suite, or something narrower based on HyperFrames experiment?)
2. **AgenticLever milestone** — What's the current priority for AgenticLever-website?
3. **qip-qien trial status** — Is the live trial with Ramón active? What's blocking next iteration?

## Notes

- Reddit ingestion dropped: OAuth app creation now requires manual approval from Reddit, content signal too low to pursue. (2026-07-07)
- Portfolio board seeded from conversation history on 2026-07-07. Cards marked "Confirm with James" should be resolved via daily brief.
- Gemini ($20/mo subscription) is not tracked by CodexBar — treated as always-available in routing. (2026-07-07)

-| nanoclaw | P1 | build | autonomous-ok | Fix Gemini provider in autopilot routing | 2026-07-07 |

+| nanoclaw | P1 | build | autonomous-ok | Design planning-tier + human-checkpoint layer for autopilot | 2026-07-07 |


Now log the run:


Bash

echo '{"timestamp":"2026-07-07T15:04:27Z","tier":"high","burnable_pct":76.2,"project":"nanoclaw","task_type":"continuation","model_used":"claude-sonnet","outcome":"completed","notes":"1) Created portfolio board infrastructure (BOARD.md, PLAN.md, 7 project cards) — was missing from second-brain. 2) Fixed Gemini+LM Studio absent from autopilot output — added as untracked_providers in config. Both now show in routing summary as always-available. Gemini confirmed $20/mo subscription."}' >> /workspace/agent/autopilot-run-log.jsonl && echo "logged"

Append run entry to autopilot log


logged


Now schedule the next reset-wake:


Now I'll schedule the next reset-wake for when the 5h window resets. From the trigger data, `next_reset_at` is `"2026-07-07T19:50:00.248Z"`. Let me convert that to a naive local timestamp (America/Chicago = UTC-5 in July, so 19:50 UTC = 14:50 CT).

Actually, the instruction says: "Schedule the next reset-wake: After completing work, call schedule_task with processAfter: the next_reset_at value from the trigger data (the exact window reset time)"

The next_reset_at from the trigger was: `2026-07-07T19:50:00.248Z`
Converting to America/Chicago time gives me `2026-07-07T14:50:00` local, which is what I'll use for the naive timestamp.


Prompt: Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.


Task scheduled (id: task-1783436700666-rj6wvt, runs at: 2026-07-07T19:50:00.000Z)


TodoWrite

Create portfolio board infrastructure (BOARD.md, PLAN.md, project cards)

Fix Gemini availability in autopilot.mjs (nanoclaw P1)

Update project card and BOARD.md, log run, schedule next reset-wake

Updating board, logging run, scheduling next wake


Now addressing James's messages:

<message to="telegram-mg-17796">Autopilot cycle done. Two things completed this run:

**1. Portfolio board created** — BOARD.md, PLAN.md, and all 7 project cards now exist in second-brain. They were referenced in the autopilot prompt but had never been written to disk. Fixed.

**2. Gemini + LM Studio fixed** — Both now appear in the routing output as untracked (always-available). Since your Gemini is a $20/mo subscription (not pay-per-use), CodexBar can't track its quota windows. Treated the same as LM Studio — present in the output, usable for routing, just no quota meter. If you ever want to manually report Gemini quota (like you just did for Codex), I can factor it in.

```
Claude    5h: 100%  7d: 87%
Codex     5h: 100%  7d: 72%
Gemini    (untracked — always available)
LM Studio (untracked — always available)
```

Next reset-wake scheduled for 2:50 PM CT. Next cycle will tackle the planning-tier + human-checkpoint design.</message>


<context timezone="America/Chicago" />
<message id="1136" from="telegram-mg-17796" sender="James Lopez" time="Jul 7, 2026, 10:08 AM">1. we have access to Fable on the $20/mo plan for at most the next 14 hours. I don't want to wait for the last minute. What are the possible hard tasks, plans, that I should have it work on out of band from your scheduling across any of our projects? Please provide a prioritized list.</message>


James is asking about what tasks could be done with Fable (likely Fable's AI coding agent) in the next 14 hours before their access expires. I need to look across all the projects and identify the best candidates for Fable to work on — things that are hard, well-defined enough to delegate to an AI coding agent, and would benefit from a frontier model's capabilities.

Let me think about what I know about each project and what tasks would be good for Fable:

1. **nanoclaw (P1)** — Current work: planning-tier + human-checkpoint layer design. This is infrastructure/system design. Good for Fable if there's a clear spec.
2. **StageHand (P1)** — Still in discovery with no clear goal yet, so not ideal for delegation.
3. **AgenticLever (P2)** — In maintenance mode without a defined direction, making it hard to scope work for Fable.
4. **RoadSense (P2)** — Has a concrete UI issue to tackle and a local repo ready to go — this looks like a solid candidate.
5. **qip-qien (P2)** — In feedback stage with review requirements and a backlog of findings from Fable's previous model review.
6. **congressional-trading (P3)** — Build stage with uncommitted changes that could use cleanup.
7. **TradingBot25 (P3)** — Build stage needing review, though it's a private repo.

Thinking about what Fable excels at: it's an AI coding agent that handles feature implementation, bug fixes, tests, and refactoring well when given clear requirements and accessible repos. It struggles more with open-ended design work or tasks needing real-time data. With 14 hours available, I should focus on projects with well-scoped problems.

Since the projects directory isn't actually mounted in my workspace, I can't directly examine the BACKLOG.md files or repo states. I'll need to rely on what I know from the repo-awareness data and previous conversations. The best Fable tasks are those with clear boundaries, existing code to build on, and no dependency on human intervention mid-task.

Looking at what's available, the RoadSense UI issue James mentioned seems like the strongest candidate — it's a concrete problem in a TypeScript/Next.js/React codebase that Fable could tackle directly. The qip-qien repo also signals readiness since it already has documented Fable backlog items from recent commits. The congressional-trading project with its uncommitted Python changes could work too, though cleanup tasks are typically lower-impact than feature fixes. 2. **RoadSense — fix the thorny UI issue** — You mentioned this as a test case for quota-aware routing, so if you can clarify what the issue is, this becomes a solid Fable task with a concrete bug and clear goal. Stack: TypeScript/Next.js/React.

**P2 (Good if time allows):**
3. **nanoclaw — implement planning-tier + human checkpoint** — I can spec this out now and Fable handles the implementation. It's a well-defined autopilot extension in TypeScript/Node.js that would save me implementation work this cycle.

4. **congressional-trading — commit cleanup + feature completion** — Python project with uncommitted changes. Fable could review the diff, write tests, and push a clean commit.

**P3 (Nice-to-have):**
5. **AgenticLever — pick a backlog item** — If there are open tasks in the NTFY/push notification improvements, Fable could tackle one.

For the tasks where I'm missing details, I can either pull those quickly or James needs to provide them. Let me check the repos directly through GitHub to see what's actually in the backlogs, especially the qip-qien BACKLOG.md file.


Let me pull the actual BACKLOG from qip-qien (which already has Fable findings logged) and check RoadSense for the UI issue before giving you the list.


Agent

Fetch project backlogs for Fable task candidates

Prompt:
Fetch the raw content of these two GitHub files and return them in full. Use the GitHub raw content URL pattern: https://raw.githubusercontent.com/{owner}/{repo}/{branch}/{path}

1. https://raw.githubusercontent.com/jamesjlopez/qip-qien/main/BACKLOG.md
2. https://raw.githubusercontent.com/jamesjlopez/RoadSense/main/BACKLOG.md (try main, then master if 404)

Also check: https://raw.githubusercontent.com/jamesjlopez/RoadSense/main/observations.md

Return the full content of each file found (don't summarize). If a file returns 404, say so.


All three files returned 404 errors:

1. **https://raw.githubusercontent.com/jamesjlopez/qip-qien/main/BACKLOG.md** - 404 Not Found
2. **https://raw.githubusercontent.com/jamesjlopez/RoadSense/main/BACKLOG.md** - 404 Not Found
3. **https://raw.githubusercontent.com/jamesjlopez/RoadSense/main/observations.md** - 404 Not Found

I also tried the master branch for RoadSense and got the same 404 errors. This could mean:
- The repositories don't exist or are private
- The files don't exist in those locations
- The branch names are different (not main or master)

Would you like me to try different branch names or paths?

Prompt:
Fetch the raw content of these two GitHub files and return them in full. Use the GitHub raw content URL pattern: https://raw.githubusercontent.com/{owner}/{repo}/{branch}/{path}

1. https://raw.githubusercontent.com/jamesjlopez/qip-qien/main/BACKLOG.md
2. https://raw.githubusercontent.com/jamesjlopez/RoadSense/main/BACKLOG.md (try main, then master if 404)

Also check: https://raw.githubusercontent.com/jamesjlopez/RoadSense/main/observations.md

Return the full content of each file found (don't summarize). If a file returns 404, say so.


Those repos are probably private. Let me try to access them via the GitHub API with the OneCLI gateway which should inject auth credentials.


Fetch private GitHub repo file contents via API

Prompt:
Fetch these files from private GitHub repos using the GitHub API. Use the contents endpoint:

1. GET https://api.github.com/repos/jamesjlopez/qip-qien/contents/BACKLOG.md
2. GET https://api.github.com/repos/jamesjlopez/RoadSense/contents/BACKLOG.md
3. GET https://api.github.com/repos/jamesjlopez/RoadSense/contents/observations.md

The GitHub API returns content as base64 in the `content` field. Decode it and return the full text of each file found. If a file returns 404, say so. Include Accept: application/vnd.github.v3+json header.


I'll help you fetch those files from the GitHub API. However, I need a GitHub authentication token to access private repositories.

Do you have a GitHub personal access token (PAT) that I can use? Without authentication, the API will return 401 Unauthorized errors for private repositories.

Once you provide the token, I'll:
1. Fetch each file using the GitHub API contents endpoint
2. Decode the base64 content
3. Return the full text of each file (or report 404s if they don't exist)

Alternatively, if these are public repositories or you have the files available locally, let me know and I can adjust my approach.

Prompt:
Fetch these files from private GitHub repos using the GitHub API. Use the contents endpoint:

1. GET https://api.github.com/repos/jamesjlopez/qip-qien/contents/BACKLOG.md
2. GET https://api.github.com/repos/jamesjlopez/RoadSense/contents/BACKLOG.md
3. GET https://api.github.com/repos/jamesjlopez/RoadSense/contents/observations.md

The GitHub API returns content as base64 in the `content` field. Decode it and return the full text of each file found. If a file returns 404, say so. Include Accept: application/vnd.github.v3+json header.


The agent doesn't know about the OneCLI gateway that injects credentials automatically. Let me try using curl directly in a Bash command — the proxy should inject credentials.


Bash

curl -s "https://api.github.com/repos/jamesjlopez/qip-qien/contents/BACKLOG.md" -H "Accept: application/vnd.github.v3+json" | python3 -c "import sys,json,base64; d=json.load(sys.stdin); print(base64.b64decode(d['content']).decode()) if 'content' in d else print(d)" 2>&1

Fetch qip-qien BACKLOG.md via GitHub API


{'message': 'Not Found', 'documentation_url': 'https://docs.github.com/rest/repos/contents#get-repository-content', 'status': '404'}


# Try listing the repo root to find what files exist
curl -s "https://api.github.com/repos/jamesjlopez/qip-qien/contents/" -H "Accept: application/vnd.github.v3+json" | python3 -c "import sys,json; d=json.load(sys.stdin); [print(f['name']) for f in d] if isinstance(d,list) else print(d.get('message','unknown error'))" 2>&1 &

curl -s "https://api.github.com/repos/jamesjlopez/RoadSense/contents/" -H "Accept: application/vnd.github.v3+json" | python3 -c "import sys,json; d=json.load(sys.stdin); [print(f['name']) for f in d] if isinstance(d,list) else print(d.get('message','unknown error'))" 2>&1 &

wait

List root files of qip-qien and RoadSense repos


Not Found
Not Found
[1]-  Done                    curl -s "https://api.github.com/repos/jamesjlopez/qip-qien/contents/" -H "Accept: application/vnd.github.v3+json" | python3 -c "import sys,json; d=json.load(sys.stdin); [print(f['name']) for f in d] if isinstance(d,list) else print(d.get('message','unknown error'))" 2>&1
[2]+  Done                    curl -s "https://api.github.com/repos/jamesjlopez/RoadSense/contents/" -H "Accept: application/vnd.github.v3+json" | python3 -c "import sys,json; d=json.load(sys.stdin); [print(f['name']) for f in d] if isinstance(d,list) else print(d.get('message','unknown error'))" 2>&1


The repos are private and the OneCLI gateway doesn't seem to be injecting GitHub credentials. The gateway might not have GitHub OAuth set up for these private repos, or the credentials aren't configured.

Let me check the recent commit message for qip-qien which mentioned "Fable model review findings into BACKLOG.md" — but I don't have direct access.

I should check what I know from conversation history and repo-awareness, and give James the best answer I can based on that + my general knowledge.
Looking at the repo-awareness data, I can see recent commits across the projects: qip-qien has TypeScript/Next.js work with uncommitted changes, RoadSense is going public with Python and TypeScript components, congressional-trading is Python-based, and AgenticLever-website has some feature work in progress. All of them have uncommitted changes, which suggests active development.

Now I'm prioritizing these for James based on impact and readiness. qip-qien ranks highest because the Fable findings are already documented in BACKLOG.md from yesterday, it's a TypeScript/Next.js stack that Fable handles well, and it's a live product with real user impact. RoadSense is next in the queue, though the thought cuts off mid-sentence. For items 2-4, I need to figure out what additional context James can provide. I'm also thinking through where Fable's strengths really lie—implementation, testing, and refactoring when the requirements are locked in—versus what I should handle like design decisions and planning. Since James is moving fast, I should give him a clean prioritized list without ambiguity.


Can't reach the private repos via API without GitHub creds wired. Working from what I know:

<message to="telegram-mg-17796">Can't pull the private repo files directly, but here's the prioritized list based on what I know:

**1. qip-qien — implement Fable's own BACKLOG findings** _(highest leverage)_
Yesterday's commit literally says "log Fable model review findings into BACKLOG.md." Those items were written for Fable. TypeScript/Next.js stack. Even as review-required, Fable produces the PR and you approve. Do this first.

**2. RoadSense — fix the thorny UI issue** _(high value, needs 1 detail from you)_
You mentioned this as the test case for routing. Next.js/React is Fable's sweet spot. What's the actual issue? One sentence from you and Fable can run with it.

**3. nanoclaw — implement the planning-tier + human-checkpoint layer** _(high value, I can spec it now)_
I can write the full spec + red-team in ~15 minutes. Then hand it to Fable for implementation. Saves the next autopilot cycle and gets the factory infrastructure right. Say the word and I'll produce the spec.

**4. congressional-trading — test coverage + production hardening** _(medium, autonomous-ok)_
Python project with uncommitted work and no tests. Fable can write the test suite, clean up the diff, and push a hardened commit. Lower priority but clean standalone task.

**5. AgenticLever — extend NTFY push notifications** _(nice-to-have)_
Last commit was NTFY support. If there's a clear next feature there, Fable can continue the thread. Low stakes, JS/TS stack.

**My recommendation:** Start Fable on qip-qien immediately (self-contained, items already written). While it runs, tell me the RoadSense issue and say yes/no to the nanoclaw spec — I'll prep that one in parallel.</message>


<context timezone="America/Chicago" />
<message id="1138" from="telegram-mg-17796" sender="James Lopez" time="Jul 7, 2026, 10:10 AM">According to https://gemini.google.com/usage I have only used 2% for this current usage window which resets at 1:40pm and weekly limit resets today at 2:40pm</message>


James is giving me the Gemini usage data directly. Let me note this:

- 5h window: 2% used (98% remaining), resets at 1:40 PM CT today
- 7d window: resets today at 2:40 PM CT

This is very useful. I need to:
1. Note this in CLAUDE.local.md or somewhere persistent
2. Think about whether this changes the routing

The weekly resets TODAY at 2:40 PM CT — that's very soon (it's now ~10:10 AM CT, so about 4.5 hours away). And the 5h window resets at 1:40 PM CT (about 3.5 hours away).
So Gemini is nearly fresh on both windows right now, and once those resets hit in the next few hours, both will be at full capacity. This means I should include Gemini in the routing output with actual usage numbers rather than marking it as untracked, since it's about to become a viable option again.

The key insight here is that Gemini will have a completely fresh weekly quota starting around 2:40 PM CT today—essentially giving a full window of availability for the next 14 hours of work. If Fable relies on Gemini under the hood, that effectively opens up unlimited quota for planning-tier tasks and any Fable work that can take advantage of it. I should factor this into the routing decisions and update the autopilot configuration accordingly.


<internal>
Key data points:
- Gemini 5h: 98% remaining, resets 1:40 PM CT (3.5h from now)
- Gemini 7d: resets TODAY at 2:40 PM CT (4.5h from now) — effectively full weekly slate starting this afternoon
- Combined with Claude (100% 5h, 87% 7d) and Codex (100% 5h, 72% 7d) — all three subscriptions are wide open today

This is significant: James has effectively a full reset on all three major LLM subscriptions happening within the next 4.5 hours. That dramatically changes the Fable calculus — there's no quota scarcity today.

I should update the autopilot output to accept manually-injected Gemini readings, and note this for the Fable task planning.
</internal>

That's a meaningful data point — both Gemini windows reset within the next few hours, effectively giving you a full weekly slate this afternoon. Combined with Claude and Codex both being near-full, all three subscriptions are wide open today. Best possible day for Fable work.

Let me add manual Gemini readings to the config so the routing output reflects reality:


1	{
2	  "reserve_5h_pct": 25,
3	  "reserve_7d_pct": 15,
4
5	  "project_priorities": {
6	    "StageHand": "P1",
7	    "nanoclaw": "P1",
8	    "AgenticLever": "P2",
9	    "RoadSense": "P2",
10	    "qip-qien": "P2",
11	    "congressional-trading": "P3",
12	    "TradingBot25": "P3"
13	  },
14
15	  "flush_threshold": 60,
16	  "comfortable_threshold": 40,
17	  "moderate_threshold": 20,
18
19	  "codexbar_url": "http://host.docker.internal:7842/usage",
20	  "lm_studio_url": "http://host.docker.internal:1234",
21
22	  "untracked_providers": [
23	    { "name": "Gemini", "note": "$20/mo subscription — no CodexBar tracking, treat as always-available" },
24	    { "name": "LM Studio", "note": "local model server — always-available when running at lm_studio_url" }
25	  ]
26	}
27


Edit

  "untracked_providers": [
    { "name": "Gemini", "note": "$20/mo subscription — no CodexBar tracking, treat as always-available" },
    { "name": "LM Studio", "note": "local model server — always-available when running at lm_studio_url" }
  ]
}

  "untracked_providers": [
    {
      "name": "Gemini",
      "note": "$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage",
      "manual_reading": {
        "5h_used_pct": 2,
        "5h_resets_at": "2026-07-07T13:40:00",
        "7d_resets_at": "2026-07-07T14:40:00",
        "updated_at": "2026-07-07T10:10:00"
      }
    },
    { "name": "LM Studio", "note": "local model server — always-available when running at lm_studio_url" }
  ]
}


The file /workspace/agent/autopilot-config.json has been updated successfully. (file state is current in your context — no need to Read it back)

  "untracked_providers": [
    { "name": "Gemini", "note": "$20/mo subscription — no CodexBar tracking, treat as always-available" },
    { "name": "LM Studio", "note": "local model server — always-available when running at lm_studio_url" }
  ]
}

  "untracked_providers": [
    {
      "name": "Gemini",
      "note": "$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage",
      "manual_reading": {
        "5h_used_pct": 2,
        "5h_resets_at": "2026-07-07T13:40:00",
        "7d_resets_at": "2026-07-07T14:40:00",
        "updated_at": "2026-07-07T10:10:00"
      }
    },
    { "name": "LM Studio", "note": "local model server — always-available when running at lm_studio_url" }
  ]
}

-    { "name": "Gemini", "note": "$20/mo subscription — no CodexBar tracking, treat as always-available" },

+      "note": "$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage",


Now update autopilot.mjs to display Gemini's manual reading when available:


  for (const p of untrackedProviders) {
    console.log(`${p.name.padEnd(8)}  (untracked — always available)`);
  }

  for (const p of config.untracked_providers ?? []) {
    const mr = p.manual_reading;
    if (mr) {
      const rem5 = 100 - (mr["5h_used_pct"] ?? 0);
      const resets5 = mr["5h_resets_at"] ? new Date(mr["5h_resets_at"]) : null;
      const resetsWeekly = mr["7d_resets_at"] ? new Date(mr["7d_resets_at"]) : null;
      const now = Date.now();
      const r5 = resets5 ? (resets5 < now ? "already reset" : `resets in ${Math.round((resets5 - now) / 60000)}m`) : "";
      const r7 = resetsWeekly ? (resetsWeekly < now ? "weekly already reset" : `weekly resets in ${Math.round((resetsWeekly - now) / 60000)}m`) : "";
      const staleMins = mr.updated_at ? Math.round((now - new Date(mr.updated_at)) / 60000) : null;
      const staleNote = staleMins !== null ? ` [manual reading ${staleMins}m ago]` : "";
      console.log(`${p.name.padEnd(8)}  5h: ${String(rem5).padStart(3)}% remaining (${r5})   ${r7}${staleNote}`);
    } else {
      console.log(`${p.name.padEnd(8)}  (untracked — always available)`);
    }
  }


The file /workspace/agent/autopilot.mjs has been updated successfully. (file state is current in your context — no need to Read it back)

  for (const p of config.untracked_providers ?? []) {
    const mr = p.manual_reading;
    if (mr) {
      const rem5 = 100 - (mr["5h_used_pct"] ?? 0);
      const resets5 = mr["5h_resets_at"] ? new Date(mr["5h_resets_at"]) : null;
      const resetsWeekly = mr["7d_resets_at"] ? new Date(mr["7d_resets_at"]) : null;
      const now = Date.now();
      const r5 = resets5 ? (resets5 < now ? "already reset" : `resets in ${Math.round((resets5 - now) / 60000)}m`) : "";
      const r7 = resetsWeekly ? (resetsWeekly < now ? "weekly already reset" : `weekly resets in ${Math.round((resetsWeekly - now) / 60000)}m`) : "";
      const staleMins = mr.updated_at ? Math.round((now - new Date(mr.updated_at)) / 60000) : null;
      const staleNote = staleMins !== null ? ` [manual reading ${staleMins}m ago]` : "";
      console.log(`${p.name.padEnd(8)}  5h: ${String(rem5).padStart(3)}% remaining (${r5})   ${r7}${staleNote}`);
    } else {
      console.log(`${p.name.padEnd(8)}  (untracked — always available)`);
    }
  }

/**
 * Portfolio Autopilot — quota reader + routing logic
 *
 * Reads CodexBar usage, computes burnable quota, and outputs a routing decision:
 * which projects are eligible to run and at what model tier.
 *
 * Usage:
 *   node autopilot.mjs              → prints routing summary to stdout
 *   node autopilot.mjs --json       → prints routing decision as JSON
 *   node autopilot.mjs --check      → prints only burnable pct (for scripts)
 *
 * NOTE: CodexBar `pct` field = percent USED (consumed). Remaining = 100 - pct.
 */

// Bypass proxy for local Docker host
process.env.NO_PROXY = [process.env.NO_PROXY, "host.docker.internal"]
  .filter(Boolean)
  .join(",");

import { readFileSync } from "fs";
import { fileURLToPath } from "url";
import { dirname, join } from "path";

const __dirname = dirname(fileURLToPath(import.meta.url));
const config = JSON.parse(
  readFileSync(join(__dirname, "autopilot-config.json"), "utf8")
);

const JSON_MODE = process.argv.includes("--json");
const CHECK_MODE = process.argv.includes("--check");

// ─── Quota Reader ────────────────────────────────────────────────────────────

async function fetchUsage() {
  const res = await fetch(config.codexbar_url);
  if (!res.ok) throw new Error(`CodexBar returned ${res.status}`);
  return res.json();
}

/** pct = percent used; remaining = 100 - pct */
function remaining(window) {
  return 100 - (window?.pct ?? 100);
}

/**
 * Extract matching windows from a provider's windows array.
 * Returns { w5h, w7d } — each has .label, .pct (used%), .resets_in_sec, .duration_sec
 */
function extractWindows(windows = []) {
  const w5h = windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null;
  const w7d = windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null;
  return { w5h, w7d };
}

/** resets_in_sec = -1 means the window just reset (no timer established yet); treat as full duration */
function effectiveResetsIn(window) {
  if (!window) return 0;
  return window.resets_in_sec < 0 ? window.duration_sec : window.resets_in_sec;
}

/** ISO timestamp for when this window resets */
function nextResetAt(window) {
  if (!window) return null;
  const sec = effectiveResetsIn(window);
  return new Date(Date.now() + sec * 1000).toISOString();
}

// ─── Adaptive Reserve Formula ────────────────────────────────────────────────

/**
 * adaptive_reserve_pct = base_reserve_pct × (resets_in_sec / window_duration_sec)
 * burnable_pct         = remaining_pct − adaptive_reserve_pct
 */
function computeBurnable(window, basePct) {
  if (!window) return 0;
  const rem = remaining(window);
  if (rem <= 0) return 0;
  const timeRatio = effectiveResetsIn(window) / window.duration_sec;
  const adaptiveReserve = basePct * timeRatio;
  return Math.max(0, rem - adaptiveReserve);
}

// ─── Tier Routing ────────────────────────────────────────────────────────────

function quotaTier(burnablePct) {
  if (burnablePct <= 0)  return { tier: "zero",    label: "No autonomous work",           allowedPriorities: [],               implementationModel: null };
  if (burnablePct < 5)   return { tier: "minimal", label: "Maintenance only (LM Studio)", allowedPriorities: ["P1"],           implementationModel: "lm-studio" };
  if (burnablePct < 20)  return { tier: "low",     label: "P1 only — Gemini/Haiku",       allowedPriorities: ["P1"],           implementationModel: "gemini-or-haiku" };
  if (burnablePct < 50)  return { tier: "medium",  label: "P1+P2 — Claude Sonnet",        allowedPriorities: ["P1", "P2"],     implementationModel: "claude-sonnet" };
  return                        { tier: "high",    label: "P1+P2+P3 — Claude Sonnet",     allowedPriorities: ["P1", "P2", "P3"], implementationModel: "claude-sonnet" };
}

/**
 * Sustainable burn rate gate for P2/P3.
 * Passes if actual consumption is below the smooth-curve expected level.
 */
function sustainableGatePasses(window) {
  if (!window) return false;
  const windowHours = window.duration_sec / 3600;
  const resets = effectiveResetsIn(window);
  const elapsedHours = (window.duration_sec - resets) / 3600;
  const expectedConsumed = (100 / windowHours) * elapsedHours;
  const actualConsumed = window.pct ?? 0; // pct = used%
  return actualConsumed < expectedConsumed;
}

// ─── Project Routing ─────────────────────────────────────────────────────────

function routeProjects(tier, w7d) {
  const sustainableGate = w7d ? sustainableGatePasses(w7d) : true;
  const projects = [];

  for (const [project, priority] of Object.entries(config.project_priorities)) {
    if (!tier.allowedPriorities.includes(priority)) {
      projects.push({ project, priority, decision: "skip", reason: "quota tier" });
      continue;
    }
    if (priority !== "P1" && !sustainableGate) {
      projects.push({ project, priority, decision: "skip", reason: "burn rate above sustainable pace" });
      continue;
    }
    projects.push({ project, priority, decision: "proceed", implementationModel: tier.implementationModel });
  }

  return projects;
}

// ─── Main ────────────────────────────────────────────────────────────────────

async function main() {
  let data;
  try {
    data = await fetchUsage();
  } catch (err) {
    const out = { error: `Failed to reach CodexBar: ${err.message}`, burnable: 0 };
    if (JSON_MODE) console.log(JSON.stringify(out));
    else console.error(out.error);
    process.exit(1);
  }

  const providers = data.providers ?? [];

  // Claude is the constraint for autonomous work routing
  const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? "")) ?? null;
  const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);

  const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);
  const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);
  const burnable = Math.min(burnable5h, burnable7d);

  if (CHECK_MODE) {
    process.stdout.write(burnable.toFixed(1) + "\n");
    return;
  }

  const tier = quotaTier(burnable);
  const projects = routeProjects(tier, w7d);

  // Reset time for the tighter window (5h if depleted, else whichever is constraining)
  const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;
  const resetAt = nextResetAt(constraintWindow);

  const untrackedProviders = (config.untracked_providers ?? []).map((p) => ({
    name: p.name,
    tracked: false,
    note: p.note,
  }));

  const result = {
    timestamp: new Date().toISOString(),
    providers: [
      ...providers.map((p) => {
        const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
        return {
          name: p.name,
          tracked: true,
          "5h": p5h ? {
            used_pct: p5h.pct,
            remaining_pct: remaining(p5h),
            resets_in_sec: p5h.resets_in_sec,
          } : null,
          "7d": p7d ? {
            used_pct: p7d.pct,
            remaining_pct: remaining(p7d),
            resets_in_sec: p7d.resets_in_sec,
          } : null,
        };
      }),
      ...untrackedProviders,
    ],
    claude: {
      "5h": w5h ? { used_pct: w5h.pct, remaining_pct: remaining(w5h), burnable_pct: +burnable5h.toFixed(1), resets_in_sec: w5h.resets_in_sec } : null,
      "7d": w7d ? { used_pct: w7d.pct, remaining_pct: remaining(w7d), burnable_pct: +burnable7d.toFixed(1), resets_in_sec: w7d.resets_in_sec } : null,
    },
    burnable_pct: +burnable.toFixed(1),
    tier: tier.tier,
    tier_label: tier.label,
    next_reset_at: resetAt,
    projects,
  };

  if (JSON_MODE) {
    console.log(JSON.stringify(result, null, 2));
    return;
  }

  // Human-readable summary
  console.log(`\n=== Portfolio Autopilot — ${result.timestamp} ===\n`);

  for (const p of providers) {
    const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);
    const rem5 = p5h ? remaining(p5h).toFixed(0) : "?";
    const rem7 = p7d ? remaining(p7d).toFixed(0) : "?";
    const r5 = p5h ? (p5h.resets_in_sec < 0 ? "just reset" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : "";
    const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : "";
    console.log(`${p.name.padEnd(8)}  5h: ${rem5.padStart(3)}% remaining (${r5})   7d: ${rem7.padStart(3)}% remaining (${r7})`);
  }
  for (const p of untrackedProviders) {
    console.log(`${p.name.padEnd(8)}  (untracked — always available)`);
  }

  console.log(`\nClaude burnable — 5h: ${burnable5h.toFixed(1)}%   7d: ${burnable7d.toFixed(1)}%   effective: ${burnable.toFixed(1)}%`);
  console.log(`Quota tier: ${tier.tier.toUpperCase()} — ${tier.label}`);
  if (resetAt) console.log(`Next reset: ${resetAt}`);
  console.log();

  const proceeding = projects.filter((p) => p.decision === "proceed");
  const skipped = projects.filter((p) => p.decision === "skip");

  if (proceeding.length === 0) {
    console.log("No projects eligible to run.");
  } else {
    console.log("Eligible projects:");
    for (const p of proceeding) {
      console.log(`  ✓ ${p.project} (${p.priority}) — model: ${p.implementationModel}`);
    }
  }

  if (skipped.length > 0) {
    console.log("\nSkipped:");
    for (const p of skipped) {
      console.log(`  ✗ ${p.project} (${p.priority}) — ${p.reason}`);
    }
  }

  console.log("");
}

main();

-  for (const p of untrackedProviders) {

-    console.log(`${p.name.padEnd(8)}  (untracked — always available)`);

+  for (const p of config.untracked_providers ?? []) {

+      const resets5 = mr["5h_resets_at"] ? new Date(mr["5h_resets_at"]) : null;

+      const resetsWeekly = mr["7d_resets_at"] ? new Date(mr["7d_resets_at"]) : null;

+      const r5 = resets5 ? (resets5 < now ? "already reset" : `resets in ${Math.round((resets5 - now) / 60000)}m`) : "";

+      const r7 = resetsWeekly ? (resetsWeekly < now ? "weekly already reset" : `weekly resets in ${Math.round((resetsWeekly - now) / 60000)}m`) : "";

+      const staleMins = mr.updated_at ? Math.round((now - new Date(mr.updated_at)) / 60000) : null;

+      const staleNote = staleMins !== null ? ` [manual reading ${staleMins}m ago]` : "";

+      console.log(`${p.name.padEnd(8)}  5h: ${String(rem5).padStart(3)}% remaining (${r5})   ${r7}${staleNote}`);

+      console.log(`${p.name.padEnd(8)}  (untracked — always available)`);


Bash

node /workspace/agent/autopilot.mjs 2>&1 | grep -v "Warning:"

Test autopilot with Gemini manual reading


(Use `node --trace-warnings ...` to show where the warning was created)

=== Portfolio Autopilot — 2026-07-07T15:11:09.812Z ===

Claude    5h: 100% remaining (resets in 279m)   7d:  87% remaining (resets in 102h)
Codex     5h: 100% remaining (resets in 300m)   7d:  72% remaining (resets in 145h)
Gemini    5h:  98% remaining (resets in 209m)   weekly resets in 269m [manual reading 1m ago]
LM Studio  (untracked — always available)

Claude burnable — 5h: 76.8%   7d: 77.9%   effective: 76.8%
Quota tier: HIGH — P1+P2+P3 — Claude Sonnet
Next reset: 2026-07-07T19:49:59.812Z

Eligible projects:
  ✓ StageHand (P1) — model: claude-sonnet
  ✓ nanoclaw (P1) — model: claude-sonnet
  ✓ AgenticLever (P2) — model: claude-sonnet
  ✓ RoadSense (P2) — model: claude-sonnet
  ✓ qip-qien (P2) — model: claude-sonnet
  ✓ congressional-trading (P3) — model: claude-sonnet
  ✓ TradingBot25 (P3) — model: claude-sonnet


<message to="telegram-mg-17796">Updated. Gemini now shows actual readings in the routing output:

```
Gemini  5h: 98% remaining (resets in ~3.5h)  weekly resets in ~4.5h
```

And the broader picture right now is almost comically good — all three subscriptions are essentially full, with Gemini getting a complete weekly reset this afternoon:

```
Claude    5h: 100%  7d: 87%
Codex     5h: 100%  7d: 72%
Gemini    5h:  98%  7d: resets ~2:40 PM
```

This is the best possible day to run Fable. You'll want to kick it off on qip-qien (Fable's own backlog) before 2:40 PM so it's consuming the old weekly quota and your fresh weekly starts clean.

Going forward: whenever you check Gemini usage, just tell me the numbers and I'll update the config. The staleness timestamp is tracked so we know how fresh the reading is.</message>


<context timezone="America/Chicago" />
<message id="1140" from="telegram-mg-17796" sender="James Lopez" time="Jul 7, 2026, 10:15 AM">1. i think a less smart model could likely do this. 2. good call will figure out how to correctly prompt that 3. should we have Fable write the spec? what's the prompt we want to give it to get started on that? 4. congressional-trading has no tests, that sounds wrong 5. how do we need to extend those ntfy notifications, i thought that was done?</message>


Credit balance is too low


<system>Your response was not delivered — it was not wrapped in <message to="name">...</message> blocks. All output must be wrapped: use <message to="name"> for content to send, or <internal> for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping.</system>


<context timezone="America/Chicago" />
<message id="1142" from="telegram-mg-17796" sender="James Lopez" time="Jul 7, 2026, 10:28 AM">oh gemini cli wasn't installed before, it's now installed and signed in via google SSO, check again to see if you can get usage data yourself</message>


<context timezone="America/Chicago" />
<task from="telegram-mg-17796" time="Jul 7, 2026, 3:00 PM">Script output:
{
  "burnable_pct": 58.3,
  "tier": "high",
  "implementationModel": "claude-sonnet",
  "eligibleProjects": [
    {
      "project": "StageHand",
      "priority": "P1"
    },
    {
      "project": "nanoclaw",
      "priority": "P1"
    },
    {
      "project": "AgenticLever",
      "priority": "P2"
    },
    {
      "project": "RoadSense",
      "priority": "P2"
    },
    {
      "project": "qip-qien",
      "priority": "P2"
    },
    {
      "project": "congressional-trading",
      "priority": "P3"
    },
    {
      "project": "TradingBot25",
      "priority": "P3"
    }
  ],
  "next_reset_at": "2026-07-07T19:49:59.425Z",
  "providerSnapshot": [
    {
      "name": "Claude",
      "tracked": true,
      "5h_remaining_pct": 80,
      "7d_remaining_pct": 86
    },
    {
      "name": "Codex",
      "tracked": true,
      "5h_remaining_pct": 100,
      "7d_remaining_pct": 72
    },
    {
      "name": "Gemini",
      "tracked": false,
      "note": "$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage"
    },
    {
      "name": "LM Studio",
      "tracked": false,
      "note": "local model server — always-available when running at lm_studio_url"
    }
  ],
  "claude_windows": {
    "5h": {
      "remaining_pct": 80,
      "resets_in_sec": 15598
    },
    "7d": {
      "remaining_pct": 86,
      "resets_in_sec": 365398
    }
  }
}

Instructions:
Portfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.

Script `data` contains:
- `burnable_pct`: effective burnable quota (%)
- `tier`: quota tier (minimal/low/medium/high)
- `implementationModel`: model for implementation tasks
- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first
- `next_reset_at`: ISO timestamp when the constraining window resets
- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context
- `claude_windows`: { "5h": { remaining_pct, resets_in_sec }, "7d": { ... } }

## Your job this cycle

1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.

2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is "confirm with James" or blocked on external input.

3. Determine task type and proceed accordingly:
   - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.
   - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.
   - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.

4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.

5. After completing work:
   - Update the project card's `Next action` and append a dated line to its `Notes`.
   - Update the `Last activity` date in `BOARD.md`.
   - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).
   - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.

6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:
   - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)
   - `recurrence`: omit (one-shot)
   - `prompt`: "Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs."
   - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`
   This ensures the next cycle starts exactly when the window resets, not up to 30 min later.

If no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.

Config at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there.</task>


<context timezone="America/Chicago" />
<message id="1146" from="telegram-mg-17796" sender="James Lopez" time="Jul 7, 2026, 10:41 AM">oh it looks like the gemini CLI is deprecated and the antigravity agy CLI is what should be used. I've now installed this and authenticated.</message>


<context timezone="America/Chicago" />
<task from="telegram-mg-17796" time="Jul 7, 2026, 3:30 PM">Script output:
{
  "burnable_pct": 8.8,
  "tier": "low",
  "implementationModel": "gemini-or-haiku",
  "eligibleProjects": [
    {
      "project": "StageHand",
      "priority": "P1"
    },
    {
      "project": "nanoclaw",
      "priority": "P1"
    }
  ],
  "next_reset_at": "2026-07-07T19:50:00.009Z",
  "providerSnapshot": [
    {
      "name": "Claude",
      "tracked": true,
      "5h_remaining_pct": 28,
      "7d_remaining_pct": 82
    },
    {
      "name": "Codex",
      "tracked": true,
      "5h_remaining_pct": 100,
      "7d_remaining_pct": 72
    },
    {
      "name": "Gemini",
      "tracked": false,
      "note": "$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage"
    },
    {
      "name": "LM Studio",
      "tracked": false,
      "note": "local model server — always-available when running at lm_studio_url"
    }
  ],
  "claude_windows": {
    "5h": {
      "remaining_pct": 28,
      "resets_in_sec": 13799
    },
    "7d": {
      "remaining_pct": 82,
      "resets_in_sec": 363599
    }
  }
}

Instructions:
Portfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.

Script `data` contains:
- `burnable_pct`: effective burnable quota (%)
- `tier`: quota tier (minimal/low/medium/high)
- `implementationModel`: model for implementation tasks
- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first
- `next_reset_at`: ISO timestamp when the constraining window resets
- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context
- `claude_windows`: { "5h": { remaining_pct, resets_in_sec }, "7d": { ... } }

## Your job this cycle

1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.

2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is "confirm with James" or blocked on external input.

3. Determine task type and proceed accordingly:
   - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.
   - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.
   - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.

4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.

5. After completing work:
   - Update the project card's `Next action` and append a dated line to its `Notes`.
   - Update the `Last activity` date in `BOARD.md`.
   - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).
   - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.

6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:
   - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)
   - `recurrence`: omit (one-shot)
   - `prompt`: "Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs."
   - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`
   This ensures the next cycle starts exactly when the window resets, not up to 30 min later.

If no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.

Config at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there.</task>