Standalone replay

Validate captured change

Standalone capture · 2 changed files · local validation captured

Local replay

Requested change

Fix the CodexScope hosted CLI auth start route so verification URLs use the public app origin behind a reverse proxy instead of 0.0.0.0:3000. Add or update tests. Keep the change minimal and run the relevant tests.

Trusthigh

Attributionweak

Contribution100%

OutcomeReady to open PR

Open authoring proof

Proof pathTask prompt Edit apps/web/app/api/auth/cl…Validate captured change

3 directly observed checkpoints anchor this replay.

What you can trust quickly

3 action cluster(s) are grounded in direct captured proof.
3/3 local patch hunks are grounded in captured session evidence.
3/3 replay hunks link to a likely authoring step in the timeline.

Review

Intentcaptured

Fix the CodexScope hosted CLI auth start route so verification URLs use the public app origin behind a reverse proxy instead of 0.0.0.0:300…

Authoring proofdirectly observed

Edit apps/web/app/api/auth/cli/start/route.test.ts, apps/web/ap…

Validationcaptured

bash -lc pnpm --filter @codexscope/web test -- lib/auth.test.ts…

Exact hunks3/3

3/3 linked back to authoring proof.

Review focus

This run is still standalone, so GitHub review state is not part of the proof path yet.

Changed code

Start at the authored lines.

Exact hunks first. Proof only where it helps verify the diff.

Files2files with exact diff proof

Exact hunks3/3direct patch matches

Linked back3/3connected to authoring proof

apps/web/app/api/auth/cli/start/route.ts2/2 exact hunks apps/web/app/api/auth/cli/start/route.test.ts1/1 exact hunk

Shared authoring proof

Edit apps/web/app/api/auth/cli/start/route.test.ts, apps/web/app/api/auth/cli/start/route.ts

Applied changes in apps/web/app/api/auth/cli/start/route.test.ts, apps/web/app/api/auth/cli/start/route.ts, and 6 more files.

2 files · directly observed · transcript tool call, linked transcript tool output +2 more.

Open authoring proof

apps/web/app/api/auth/cli/start/route.ts

Captured from 1 session

@@ -2,6 +2,40 @@ import { NextResponse } from "next/server";

weaksession patch

 
 import { startCliAuth } from "../../../../../lib/auth";
 
+function firstHeaderValue(value: string | null): string | null {
+  if (!value) {
+    return null;

Direct patch match to captured authoring proof.

@@ -9,7 +43,7 @@ export async function POST(request: Request) {

weaksession patch

     cwd?: string;
     platform?: string;
   };
-  const origin = new URL(request.url).origin;
+  const origin = inferPublicOrigin(request);
   const result = await startCliAuth({

Direct patch match to captured authoring proof.

apps/web/app/api/auth/cli/start/route.test.ts

Captured from 1 session

weaksession patch

+import { mkdtemp, rm } from "node:fs/promises";
+import os from "node:os";
+import path from "node:path";
+
+import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
+

Direct patch match to captured authoring proof.

Deep review

Open only the next proof you need.

The top half should settle most review decisions. These sections answer the next question without dumping the whole session on you.

Proof path

Concrete steps, in order, grounded in captured proof.

01
author
Edit apps/web/app/api/auth/cli/start/route.test.ts, apps/web/app/api/auth/cli/start/route.ts
directly observed
Applied changes in apps/web/app/api/auth/cli/start/route.test.ts, apps/web/app/api/auth/cli/start/route.ts, and 6 more files.
Proof: transcript tool call, linked transcript tool output +2 more.
Open in timeline
02
validate
Validate captured change
directly observed
Total output lines: 169 @codexscope/[email protected] test /Users/admin/dev/codexscope-dogfood-auth/apps/web vitest run -- lib/auth.test.ts app/api/auth/cli/start/route.test.ts RUN v3…
Proof: transcript tool call, linked transcript tool output +1 more.
Open in timeline

How the run unfolded (4 of 61 steps)

How the run unfolded

Primary proof session first. Related same-PR context stays one layer deeper.

3/13/2026, 9:40:10 PM
User prompteb272de6
Fix the CodexScope hosted CLI auth start route so verification URLs use the public app origin behind a reverse proxy instead of 0.0.0.0:3000. Add or update tests. Keep the change minimal and run the relevant tests.
3/13/2026, 9:41:59 PM
Edit apps/web/app/api/auth/cli/start/route.test.ts, apps/web/app/api/auth/cli/start/route.tseb272de6
Applied changes in apps/web/app/api/auth/cli/start/route.test.ts, apps/web/app/api/auth/cli/start/route.ts, and 6 more files.
2 captured events · shell — apply_patch *** Begin Patch *** Update File: apps/web/app/api/auth/cli/start/route.ts @@ import { NextResponse } from "next/server"; import { startCliAuth } from "../../../../../lib/auth"; + +function firstHeaderValue(value: string | null): string | null { + if (!value) { + return null; + } + + return value.split(",")[0]?.trim() || null; +} + +function normalizeOrigin(origin: string): string { + return origin.replace(/\/+$/, ""); +} + +function inferPublicOrigin(request: Request): string { + const configuredOrigin = normalizeOrigin(process.env.NEXT_PUBLIC_APP_URL ?? ""); + if (configuredOrigin) { + return configuredOrigin; + } + + const host = + firstHeaderValue(request.headers.get("x-forwarded-host")) ?? + firstHeaderValue(request.headers.get("host")); + if (host) { + const proto = + firstHeaderValue(request.headers.get("x-forwarded-proto")) ?? + (host.startsWith("localhost") || host.startsWith("127.0.0.1") || host.startsWith("0.0.0.0") + ? "http" + : "https"); + + return `${proto}://${host}`; + } + + return new URL(request.url).origin; +} export async function POST(request: Request) { const payload = (await request.json().catch(() => ({}))) as { mode?: "browser" | "device"; hostname?: string; cwd?: string; platform?: string; }; - const origin = new URL(request.url).origin; + const origin = inferPublicOrigin(request); const result = await startCliAuth({ origin, mode: payload.mode === "device" ? "device" : "browser", hostname: payload.hostname ?? null, *** Add File: apps/web/app/api/auth/cli/start/route.test.ts +import { mkdtemp, rm } from "node:fs/promises"; +import os from "node:os"; +import path from "node:path"; + +import { afterEach, beforeEach, describe, expect, it, vi } from "vitest"; + +let dataDir: string; + +async function loadRouteModule() { + vi.resetModules(); + return import("./route"); +} + +beforeEach(async () => { + dataDir = await mkdtemp(path.join(os.tmpdir(), "codexscope-cli-auth-route-")); + process.env.CODEXSCOPE_DATA_DIR = dataDir; +}); + +afterEach(async () => { + delete process.env.CODEXSCOPE_DATA_DIR; + delete process.env.NEXT_PUBLIC_APP_URL; + vi.restoreAllMocks(); + await rm(dataDir, { recursive: true, force: true }); +}); + +describe("POST /api/auth/cli/start", () => { + it("uses forwarded headers for the verification URL", async () => { + const { POST } = await loadRouteModule(); + + const response = await POST( + new Request("http://0.0.0.0:3000/api/auth/cli/start", { + method: "POST", + headers: { + "content-type": "application/json", + "x-forwarded-host": "app.codexscope.dev", + "x-forwarded-proto": "https", + }, + body: JSON.stringify({ mode: "browser" }), + }), + ); + const payload = (await response.json()) as { + ok: boolean; + verificationUri: string; + verificationUriComplete: string; + }; + + expect(payload.ok).toBe(true); + expect(payload.verificationUri).toBe("https://app.codexscope.dev/cli-auth"); + expect(payload.verificationUriComplete).toMatch( + /^https:\/\/app\.codexscope\.dev\/cli-auth\?request=.*&code=.*$/, + ); + }); + + it("prefers NEXT_PUBLIC_APP_URL over the proxy request origin", async () => { + process.env.NEXT_PUBLIC_APP_URL = "https://public.codexscope.dev/"; + const { POST } = await loadRouteModule(); + + const response = await POST( + new Request("http://0.0.0.0:3000/api/auth/cli/start", { + method: "POST", + headers: { + "content-type": "application/json", + "x-forwarded-host": "internal-proxy:3000", + "x-forwarded-proto": "http", + }, + body: JSON.stringify({ mode: "device" }), + }), + ); + const payload = (await response.json()) as { + verificationUri: string; + verificationUriComplete: string; + }; + + expect(payload.verificationUri).toBe("https://public.codexscope.dev/cli-auth"); + expect(payload.verificationUriComplete).toContain("https://public.codexscope.dev/cli-auth?"); + }); +}); *** End Patch
```
apply_patch *** Begin Patch
*** Update File: apps/web/app/api/auth/cli/start/route.ts
@@
 import { NextResponse } from "next/server";
 
 import { startCliAuth } from "../../../../../lib/auth";
+
+function firstHeaderValue(value: string | null): string | null {
…
```
3/13/2026, 9:42:10 PM
Validate captured changeeb272de6
Total output lines: 169 > @codexscope/[email protected] test /Users/admin/dev/codexscope-dogfood-auth/apps/web > vitest run -- lib/auth.test.ts app/api/auth/cli/start/route.test.ts RUN v3…
2 captured events · shell — Validate captured change
```
bash -lc pnpm --filter @codexscope/web test -- lib/auth.test.ts app/api/auth/cli/start/route.test.ts
```
3/13/2026, 9:42:21 PM
Run bash -lc pnpm --filter @codexscope/web exec vitest run lib/auth.test.ts app/api/auth/cli/start/route.test.tseb272de6
RUN v3.2.4 /Users/admin/dev/codexscope-dogfood-auth/apps/web ✓ lib/auth.test.ts (2 tests) 23ms ✓ app/api/auth/cli/start/route.test.ts (2 tests) 41ms Test Files 2 passed (2) Tests …
shell — Run bash -lc pnpm --filter @codexscope/web exec vitest run lib/auth.test.ts app/api/auth/cli/start/route.test.ts
```
bash -lc pnpm --filter @codexscope/web exec vitest run lib/auth.test.ts app/api/auth/cli/start/route.test.ts
```

Other session context (4)

3/13/2026, 9:40:10 PM
Git snapshot before runeb272de6
dogfood/cli-auth-origin @ b4ea4ce8e7b4aba5b389dea0d70e488f3b93d6a5
3/13/2026, 9:40:15 PM
Fixing route issueeb272de6
Live reasoning — Fixing route issue
Fixing route issue. Since this seems non-trivial, it may require multiple actions and tests.
3/13/2026, 9:40:15 PM
Assistant replyeb272de6
I’ll inspect the auth route and its tests, then patch minimally.
3/13/2026, 9:40:15 PM
Plan updateeb272de6
I’ve got the repo shape; now narrowing to CLI auth handlers.

Open full audit trail (61)

3/13/2026, 9:40:10 PM
Git snapshot before runeb272de6
dogfood/cli-auth-origin @ b4ea4ce8e7b4aba5b389dea0d70e488f3b93d6a5
3/13/2026, 9:40:10 PM
User prompteb272de6
Fix the CodexScope hosted CLI auth start route so verification URLs use the public app origin behind a reverse proxy instead of 0.0.0.0:3000. Add or update tests. Keep the change minimal and run the relevant tests.
3/13/2026, 9:40:17 PM
Locate repo contexteb272de6
Locate repo context
2 captured events · shell — Locate repo context
```
bash -lc rg -n "auth start|verification url|0\.0\.0\.0|start route|verify" apps/web packages -S
```
3/13/2026, 9:40:20 PM
I'm realizing the search terms I have aren't sufficient for what I need. I think I'll need to focus…eb272de6
Live reasoning — I'm realizing the search terms I have aren't sufficient for what I need. I think I'll need to focus…
I'm realizing the search terms I have aren't sufficient for what I need.. It might be good to check the login processes or consider command line authentication as well.

3/13/2026, 9:40:20 PM

Locate repo contexteb272de6

Locate repo context

2 captured events · shell — Locate repo context

bash -lc rg -n "cli auth|device|verification|login --url|start.*auth|auth/start|/api/.*auth|verificationUri|verification_url|user_code|device_code" apps/web packages/shared packages/cli -S

3/13/2026, 9:40:27 PM
Inspecting route functionseb272de6
Live reasoning — Inspecting route functions
Inspecting route functions. Still, it might be worth checking in the apps/web/AGENTS.
3/13/2026, 9:40:27 PM
Locate AGENTS.mdeb272de6
Located the relevant context in AGENTS.md.
2 captured events · shell — Locate AGENTS.md
```
bash -lc find . -name AGENTS.md -print
```
3/13/2026, 9:40:29 PM
Inspect apps/web/app/api/auth/cli/start/route.tseb272de6
Reviewed apps/web/app/api/auth/cli/start/route.ts before making changes.
2 captured events · shell — bash -lc sed -n '1,220p' apps/web/app/api/auth/cli/start/route.ts && printf '\n---\n' && sed -n '1,320p' apps/web/lib/auth.ts && printf '\n---\n' && sed -n '1,180p' apps/web/lib/auth.test.ts
```
bash -lc sed -n '1,220p' apps/web/app/api/auth/cli/start/route.ts && printf '\n---\n' && sed -n '1,320p' apps/web/lib/auth.ts && printf '\n---\n' && sed -n '1,180p' apps/web/lib/auth.test.ts
```
3/13/2026, 9:40:41 PM
Inspecting auth.ts detailseb272de6
Live reasoning — Inspecting auth.ts details
Inspecting auth.ts details. It feels important to inspect the less truncated parts that are relevant.
3/13/2026, 9:40:41 PM
Inspect apps/web/lib/auth.tseb272de6
Reviewed apps/web/lib/auth.ts before making changes.
2 captured events · shell — bash -lc sed -n '1,240p' apps/web/lib/auth.ts
```
bash -lc sed -n '1,240p' apps/web/lib/auth.ts
```
3/13/2026, 9:40:43 PM
Locate apps/web/lib/auth.tseb272de6
Reviewed apps/web/lib/auth.ts before making changes.
2 captured events · shell — Locate apps/web/lib/auth.ts
```
bash -lc sed -n '240,340p' apps/web/lib/auth.ts
```
3/13/2026, 9:40:46 PM
Figuring out app origineb272de6
Live reasoning — Figuring out app origin
Figuring out app origin. To do this, I think I should search for utilities that can help derive the origin from other routes.

3/13/2026, 9:40:46 PM

Locate repo contexteb272de6

Locate repo context

2 captured events · shell — Locate repo context

bash -lc rg -n "x-forwarded-host|x-forwarded-proto|host header|public origin|APP_URL|NEXT_PUBLIC_APP_URL|VERCEL_URL|origin\)" apps/web -S

3/13/2026, 9:40:50 PM
Locate apps/web/lib/github.ts +1 moreeb272de6
Reviewed apps/web/lib/github.ts before making changes.
2 captured events · shell — Locate apps/web/lib/github.ts +1 more
```
bash -lc sed -n '120,220p' apps/web/lib/github.ts && printf '\n---\n' && sed -n '1,120p' apps/web/app/integrations/github/bootstrap/page.tsx
```
3/13/2026, 9:40:55 PM
Evaluating routing changeseb272de6
Live reasoning — Evaluating routing changes
Evaluating routing changes. I see that minimal changes are needed for the routing setup.
3/13/2026, 9:40:55 PM
Locate repo contexteb272de6
Locate repo context
2 captured events · shell — Locate repo context
```
bash -lc rg -n "api/auth/cli/start|inferBaseUrl|route\.test|NextRequest|headers\(" apps/web -S
```
3/13/2026, 9:40:58 PM
Looking into route testseb272de6
Live reasoning — Looking into route tests
Looking into route tests. I realize there are no existing route tests, which means I'll need to add or update them.
3/13/2026, 9:40:58 PM
Inspect scripts/seed-demo.tseb272de6
Reviewed scripts/seed-demo.ts before making changes.
2 captured events · shell — bash -lc cat package.json && printf '\n---\n' && cat apps/web/package.json && printf '\n---\n' && cat packages/cli/package.json
```
bash -lc cat package.json && printf '\n---\n' && cat apps/web/package.json && printf '\n---\n' && cat packages/cli/package.json
```
3/13/2026, 9:41:02 PM
I think I might need to explore the idea of a shared utility. I'll search for `normalizeBaseUrl` in…eb272de6
Live reasoning — I think I might need to explore the idea of a shared utility. I'll search for `normalizeBaseUrl` in…
I think I might need to explore the idea of a shared utility.. It could save me time and effort!
3/13/2026, 9:41:02 PM
Locate apps/web/lib/github.tseb272de6
Reviewed apps/web/lib/github.ts before making changes.
2 captured events · shell — Locate apps/web/lib/github.ts
```
bash -lc sed -n '1,120p' apps/web/lib/github.ts
```
3/13/2026, 9:41:14 PM
Inspecting store setupeb272de6
Live reasoning — Inspecting store setup
Inspecting store setup. My next step is to check if I can read or write in the data directory.
3/13/2026, 9:41:14 PM
I’m considering making a call to `POST`, but it looks like the route relies on lib/auth's startCliA…eb272de6
Visible reasoning — I’m considering making a call to `POST`, but it looks like the route relies on lib/auth's startCliA…
Inspecting store setup. Since it’s tied to the authentication process, I’ll need to keep state management in mind.
3/13/2026, 9:41:14 PM
Inspect metadata.jsoneb272de6
Reviewed metadata.json before making changes.
2 captured events · shell — bash -lc sed -n '1,220p' apps/web/lib/store.ts
```
bash -lc sed -n '1,220p' apps/web/lib/store.ts
```
3/13/2026, 9:41:26 PM
Evaluating route fixeseb272de6
Live reasoning — Evaluating route fixes
Evaluating route fixes. However, it may be easier to test if I extract helpers from the route file.
3/13/2026, 9:41:26 PM
Planning route testseb272de6
Live reasoning — Planning route tests
Planning route tests. Resetting modules in each test is crucial, and I’ll write a helper function for that.
3/13/2026, 9:41:26 PM
Evaluating route fixeseb272de6
Visible reasoning — Evaluating route fixes
Evaluating route fixes. However, it may be easier to test if I extract helpers from the route file.
3/13/2026, 9:41:39 PM
Inspecting TypeScript configurationeb272de6
Live reasoning — Inspecting TypeScript configuration
Inspecting TypeScript configuration. It might be related to the noImplicitAny setting, but I'm not completely sure if the package requires a tsconfig.
3/13/2026, 9:41:40 PM
Locate apps/web/tsconfig.jsoneb272de6
Reviewed apps/web/tsconfig.json before making changes.
2 captured events · shell — Locate apps/web/tsconfig.json
```
bash -lc cat apps/web/tsconfig.json
```
3/13/2026, 9:41:41 PM
Locate tsconfig.base.jsoneb272de6
Reviewed tsconfig.base.json before making changes.
2 captured events · shell — Locate tsconfig.base.json
```
bash -lc cat tsconfig.base.json
```
3/13/2026, 9:41:45 PM
Locate repo contexteb272de6
Located the relevant context in apps/web/**/*.test.ts.
2 captured events · shell — Locate repo context
```
bash -lc rg -n "from \"next/server\"|from 'next/server'|from \"next/headers\"" apps/web/**/*.test.ts apps/web/**/**/*.test.ts -S
```
3/13/2026, 9:41:48 PM
Patching route and testseb272de6
Live reasoning — Patching route and tests
Patching route and tests. That seems like a solid approach!
3/13/2026, 9:41:59 PM
Edit apps/web/app/api/auth/cli/start/route.test.ts, apps/web/app/api/auth/cli/start/route.tseb272de6
Applied changes in apps/web/app/api/auth/cli/start/route.test.ts, apps/web/app/api/auth/cli/start/route.ts, and 6 more files.
2 captured events · shell — apply_patch *** Begin Patch *** Update File: apps/web/app/api/auth/cli/start/route.ts @@ import { NextResponse } from "next/server"; import { startCliAuth } from "../../../../../lib/auth"; + +function firstHeaderValue(value: string | null): string | null { + if (!value) { + return null; + } + + return value.split(",")[0]?.trim() || null; +} + +function normalizeOrigin(origin: string): string { + return origin.replace(/\/+$/, ""); +} + +function inferPublicOrigin(request: Request): string { + const configuredOrigin = normalizeOrigin(process.env.NEXT_PUBLIC_APP_URL ?? ""); + if (configuredOrigin) { + return configuredOrigin; + } + + const host = + firstHeaderValue(request.headers.get("x-forwarded-host")) ?? + firstHeaderValue(request.headers.get("host")); + if (host) { + const proto = + firstHeaderValue(request.headers.get("x-forwarded-proto")) ?? + (host.startsWith("localhost") || host.startsWith("127.0.0.1") || host.startsWith("0.0.0.0") + ? "http" + : "https"); + + return `${proto}://${host}`; + } + + return new URL(request.url).origin; +} export async function POST(request: Request) { const payload = (await request.json().catch(() => ({}))) as { mode?: "browser" | "device"; hostname?: string; cwd?: string; platform?: string; }; - const origin = new URL(request.url).origin; + const origin = inferPublicOrigin(request); const result = await startCliAuth({ origin, mode: payload.mode === "device" ? "device" : "browser", hostname: payload.hostname ?? null, *** Add File: apps/web/app/api/auth/cli/start/route.test.ts +import { mkdtemp, rm } from "node:fs/promises"; +import os from "node:os"; +import path from "node:path"; + +import { afterEach, beforeEach, describe, expect, it, vi } from "vitest"; + +let dataDir: string; + +async function loadRouteModule() { + vi.resetModules(); + return import("./route"); +} + +beforeEach(async () => { + dataDir = await mkdtemp(path.join(os.tmpdir(), "codexscope-cli-auth-route-")); + process.env.CODEXSCOPE_DATA_DIR = dataDir; +}); + +afterEach(async () => { + delete process.env.CODEXSCOPE_DATA_DIR; + delete process.env.NEXT_PUBLIC_APP_URL; + vi.restoreAllMocks(); + await rm(dataDir, { recursive: true, force: true }); +}); + +describe("POST /api/auth/cli/start", () => { + it("uses forwarded headers for the verification URL", async () => { + const { POST } = await loadRouteModule(); + + const response = await POST( + new Request("http://0.0.0.0:3000/api/auth/cli/start", { + method: "POST", + headers: { + "content-type": "application/json", + "x-forwarded-host": "app.codexscope.dev", + "x-forwarded-proto": "https", + }, + body: JSON.stringify({ mode: "browser" }), + }), + ); + const payload = (await response.json()) as { + ok: boolean; + verificationUri: string; + verificationUriComplete: string; + }; + + expect(payload.ok).toBe(true); + expect(payload.verificationUri).toBe("https://app.codexscope.dev/cli-auth"); + expect(payload.verificationUriComplete).toMatch( + /^https:\/\/app\.codexscope\.dev\/cli-auth\?request=.*&code=.*$/, + ); + }); + + it("prefers NEXT_PUBLIC_APP_URL over the proxy request origin", async () => { + process.env.NEXT_PUBLIC_APP_URL = "https://public.codexscope.dev/"; + const { POST } = await loadRouteModule(); + + const response = await POST( + new Request("http://0.0.0.0:3000/api/auth/cli/start", { + method: "POST", + headers: { + "content-type": "application/json", + "x-forwarded-host": "internal-proxy:3000", + "x-forwarded-proto": "http", + }, + body: JSON.stringify({ mode: "device" }), + }), + ); + const payload = (await response.json()) as { + verificationUri: string; + verificationUriComplete: string; + }; + + expect(payload.verificationUri).toBe("https://public.codexscope.dev/cli-auth"); + expect(payload.verificationUriComplete).toContain("https://public.codexscope.dev/cli-auth?"); + }); +}); *** End Patch
```
apply_patch *** Begin Patch
*** Update File: apps/web/app/api/auth/cli/start/route.ts
@@
 import { NextResponse } from "next/server";
 
 import { startCliAuth } from "../../../../../lib/auth";
+
+function firstHeaderValue(value: string | null): string | null {
…
```
3/13/2026, 9:42:04 PM
Clarifying usage of toolseb272de6
Live reasoning — Clarifying usage of tools
Clarifying usage of tools. I’ve noticed the developer mentioned using the applypatch tool.
3/13/2026, 9:42:10 PM
Validate captured changeeb272de6
Total output lines: 169 > @codexscope/[email protected] test /Users/admin/dev/codexscope-dogfood-auth/apps/web > vitest run -- lib/auth.test.ts app/api/auth/cli/start/route.test.ts RUN v3…
2 captured events · shell — Validate captured change
```
bash -lc pnpm --filter @codexscope/web test -- lib/auth.test.ts app/api/auth/cli/start/route.test.ts
```
3/13/2026, 9:42:21 PM
Running targeted testseb272de6
Live reasoning — Running targeted tests
Running targeted tests. However, I can still run some direct tests, which might help if extra tests are needed.
3/13/2026, 9:42:21 PM
Run bash -lc pnpm --filter @codexscope/web exec vitest run lib/auth.test.ts app/api/auth/cli/start/route.test.tseb272de6
RUN v3.2.4 /Users/admin/dev/codexscope-dogfood-auth/apps/web ✓ lib/auth.test.ts (2 tests) 23ms ✓ app/api/auth/cli/start/route.test.ts (2 tests) 41ms Test Files 2 passed (2) Tests …
2 captured events · shell — Run bash -lc pnpm --filter @codexscope/web exec vitest run lib/auth.test.ts app/api/auth/cli/start/route.test.ts
```
bash -lc pnpm --filter @codexscope/web exec vitest run lib/auth.test.ts app/api/auth/cli/start/route.test.ts
```
3/13/2026, 9:42:28 PM
Inspect apps/web/app/api/auth/cli/start/route.tseb272de6
Reviewed apps/web/app/api/auth/cli/start/route.ts before making changes.
2 captured events · shell — bash -lc nl -ba apps/web/app/api/auth/cli/start/route.ts | sed -n '1,120p' && printf '\n---\n' && nl -ba apps/web/app/api/auth/cli/start/route.test.ts | sed -n '1,200p'
```
bash -lc nl -ba apps/web/app/api/auth/cli/start/route.ts | sed -n '1,120p' && printf '\n---\n' && nl -ba apps/web/app/api/auth/cli/start/route.test.ts | sed -n '1,200p'
```
3/13/2026, 9:42:38 PM
Git snapshot after runeb272de6
dogfood/cli-auth-origin @ b4ea4ce8e7b4aba5b389dea0d70e488f3b93d6a5
3/13/2026, 9:42:38 PM
Validate captured changeeb272de6
Notify: agent-turn-complete — Validate captured change
Updated
- Fixed the hosted CLI auth start route to derive the verification origin from NEXT_PUBLIC_APP_URL first, then x-forwarded-host / x-forwarded-proto, and only fall back to request.url as a last resort in apps/web/app/api/auth/cli/start/route.ts:5.
- This prevents verification URLs from leaking internal proxy origins like 0.0.0.0:3000 when CodexScope is behind a reverse proxy.
Tests
- Added focused route coverage in apps/web/app/api/auth/cli/start/route.test.ts:1.
- Verified forwarded-header origin handling.
- Verified NEXT_PUBLIC_APP_URL takes precedence over proxy/internal request origins. …

Supporting notes (22)

Assistant highlights (2 of 8)

3/13/2026, 9:42:21 PM
Assistant replyeb272de6
The patch looks good; the first test run pulled in unrelated web tests. I’m rerunning only the targeted files.
3/13/2026, 9:42:38 PM
Assistant replyeb272de6
Updated
- Fixed the hosted CLI auth start route to derive the verification origin from NEXT_PUBLIC_APP_URL first, then x-forwarded-host / x-forwarded-proto, and only fall back to request.url as a last resort in apps/web/app/api/auth/cli/start/route.ts:5.
- This prevents verification URLs from leaking internal proxy origins like 0.0.0.0:3000 when CodexScope is behind a reverse proxy.
Tests
- Added focused route coverage in apps/web/app/api/auth/cli/start/route.test.ts:1.
- Verified forwarded-header origin handling.
- Verified NEXT_PUBLIC_APP_URL takes precedence over proxy/internal request origins. …

More assistant chatter (6)

3/13/2026, 9:40:15 PM
Assistant replyeb272de6
I’ll inspect the auth route and its tests, then patch minimally.
3/13/2026, 9:40:20 PM
Assistant replyeb272de6
I’ve got the repo shape; now narrowing to CLI auth handlers.
3/13/2026, 9:40:46 PM
Assistant replyeb272de6
I found the start route; now tracing how the app derives a public origin.
3/13/2026, 9:41:26 PM
Assistant replyeb272de6
I found the root cause: the route trusts request.url. I’m patching it to prefer a public app origin from env or forwarded headers, then adding route tests.
3/13/2026, 9:41:48 PM
Assistant replyeb272de6
I’ve isolated the change. Now editing the route and adding focused tests.
3/13/2026, 9:42:09 PM
Assistant replyeb272de6
Route and tests are in place. I’m running the focused web tests now.

Plan updates (5)

3/13/2026, 9:40:15 PM
Fixing route issueeb272de6
Live reasoning — Fixing route issue
Fixing route issue. Since this seems non-trivial, it may require multiple actions and tests.
3/13/2026, 9:40:15 PM
Plan updateeb272de6
I’ve got the repo shape; now narrowing to CLI auth handlers.
2 captured events
3/13/2026, 9:41:26 PM
Plan updateeb272de6
I’ve isolated the change. Now editing the route and adding focused tests.
2 captured events
3/13/2026, 9:42:04 PM
Plan updateeb272de6
Route and tests are in place. I’m running the focused web tests now.
2 captured events
3/13/2026, 9:42:29 PM
Plan updateeb272de6
**Updated** - Fixed the hosted CLI auth start route to derive the verification origin from `NEXT_PUBLIC_APP_URL` first, then `x-forwarded-host` / `x-forwarded-proto`, and only fal…
2 captured events

Why this replay is grounded (1 prompt · 26 reasoning · 9 transcript messages)

Why this replay is grounded

Start with the smallest captured artifacts that explain the diff. Open the transcript only if the proof path still leaves a review question unanswered.

Task prompts1

Reasoning26

Transcript9

Raw transcriptavailable

Prompteb272de6

Authoring proofeb272de6

Applied changes in apps/web/app/api/auth/cli/start/route.test.ts, apps/web/app/api/auth/cli/start/route.ts, and 6 more files.

Validation evidenceeb272de6

bash -lc pnpm --filter @codexscope/web test -- lib/auth.test.ts app/api/auth/cli/start/route.test.ts

Visible reasoningeb272de6

Evaluating route fixes. However, it may be easier to test if I extract helpers from the route file.

Primary request trail (4 of 9)

usereb272de6

assistanteb272de6

I’ve got the repo shape; now narrowing to CLI auth handlers.

assistanteb272de6

I found the root cause: the route trusts request.url. I’m patching it to prefer a public app origin from env or forwarded headers, then adding route tests.

assistanteb272de6

I’ve isolated the change. Now editing the route and adding focused tests.

Open full request trail (9)

usereb272de6

assistanteb272de6

I’ve got the repo shape; now narrowing to CLI auth handlers.

assistanteb272de6

I found the root cause: the route trusts request.url. I’m patching it to prefer a public app origin from env or forwarded headers, then adding route tests.

assistanteb272de6

I’ve isolated the change. Now editing the route and adding focused tests.

assistanteb272de6

Route and tests are in place. I’m running the focused web tests now.

assistanteb272de6

The patch looks good; the first test run pulled in unrelated web tests. I’m rerunning only the targeted files.

assistanteb272de6

Updated

Fixed the hosted CLI auth start route to derive the verification origin from NEXT_PUBLIC_APP_URL first, then x-forwarded-host / x-forwarded-proto, and only fall back to request.url as a last resort in apps/web/app/api/auth/cli/start/route.ts:5.
This prevents verification URLs from leaking internal proxy origins like 0.0.0.0:3000 when CodexScope is behind a reverse proxy.

Tests

Added focused route coverage in apps/web/app/api/auth/cli/start/route.test.ts:1.
Verified forwarded-header origin handling.
Verified NEXT_PUBLIC_APP_URL takes precedence over proxy/internal request origins.

Ran

pnpm --filter @codexscope/web exec vitest run lib/auth.test.ts app/api/auth/cli/start/route.test.ts

If you want, I can also run the broader web test suite after building @codexscope/shared.

Session chatter (2)

assistanteb272de6

I’ll inspect the auth route and its tests, then patch minimally.

assistanteb272de6

I found the start route; now tracing how the app derives a public origin.

Primary reasoning notes (4 of 23)

reasoning summaryeb272de6

Evaluating route fixes. However, it may be easier to test if I extract helpers from the route file.

reasoning summaryeb272de6

Planning route tests. Resetting modules in each test is crucial, and I’ll write a helper function for that.

reasoning summaryeb272de6

Inspecting auth.ts details. It feels important to inspect the less truncated parts that are relevant.

reasoning summaryeb272de6

Looking into route tests. I realize there are no existing route tests, which means I'll need to add or update them.

Open all reasoning notes (23)

reasoning summaryeb272de6

Fixing route issue. Since this seems non-trivial, it may require multiple actions and tests.

reasoning summaryeb272de6

I'm realizing the search terms I have aren't sufficient for what I need.. It might be good to check the login processes or consider command line authentication as well.

reasoning summaryeb272de6

Inspecting route functions. Still, it might be worth checking in the apps/web/AGENTS.

reasoning summaryeb272de6

Inspecting auth.ts details. It feels important to inspect the less truncated parts that are relevant.

reasoning summaryeb272de6

Figuring out app origin. To do this, I think I should search for utilities that can help derive the origin from other routes.

reasoning summaryeb272de6

It might be a good idea to use something similar for my task.

reasoning summaryeb272de6

Evaluating routing changes. I see that minimal changes are needed for the routing setup.

reasoning summaryeb272de6

Looking into route tests. I realize there are no existing route tests, which means I'll need to add or update them.

reasoning summaryeb272de6

I think I might need to explore the idea of a shared utility.. It could save me time and effort!

reasoning summaryeb272de6

Since it’s tied to the authentication process, I’ll need to keep state management in mind.

reasoning summaryeb272de6

Inspecting store setup. My next step is to check if I can read or write in the data directory.

reasoning summaryeb272de6

Inspecting store setup. Since it’s tied to the authentication process, I’ll need to keep state management in mind.

reasoning summaryeb272de6

Evaluating route fixes. However, it may be easier to test if I extract helpers from the route file.

reasoning summaryeb272de6

Planning route tests. Resetting modules in each test is crucial, and I’ll write a helper function for that.

reasoning summaryeb272de6

There could be a problem with the route using request.json(), which is available in Node.

reasoning summaryeb272de6

I plan to import NextResponse and set up functions to handle headers and origins appropriately.

reasoning summaryeb272de6

I believe the app is likely at the root level, and using normalizeBaseUrl just to trim slashes seems good enough.

reasoning summaryeb272de6

Inspecting TypeScript configuration. It might be related to the noImplicitAny setting, but I'm not completely sure if the package requires a tsconfig.

reasoning summaryeb272de6

Patching route and tests. That seems like a solid approach!

reasoning summaryeb272de6

Clarifying usage of tools. I’ve noticed the developer mentioned using the applypatch tool.

reasoning summaryeb272de6

Running targeted tests. However, I can still run some direct tests, which might help if extra tests are needed.

reasoning summaryeb272de6

Since the changes are minimal, it might not be necessary, but I could still run a relevant type check.

reasoning summaryeb272de6

Using git diff --stat could help, but I'm not sure it's necessary right now.

Relevant raw transcript slice (1)

primary session raw transcripteb272de6

Captured raw request path

RequestJump to prompt
Fix the CodexScope hosted CLI auth start route so verification URLs use the public app origin behind a reverse proxy instead of 0.0.0.0:3000. Add or update tes…
Commit resultJump to outcome
Record the commit that finalized the change.

Open raw events (5)

Requestrequest

Fix the CodexScope hosted CLI auth start route so verification URLs use the public app origin behind a reverse proxy instead of 0.0.0.0:3000. Add or update tes…

Jump to prompt

Open raw payload

Fix the CodexScope hosted CLI auth start route so verification URLs use the public app origin behind a reverse proxy instead of 0.0.0.0:300…

9:40:10 PM

{
  "timestamp": "2026-03-13T21:40:10.473Z",
  "type": "response_item",
  "payload": {
    "type": "message",
    "role": "user",
    "content": [
      {
        "type": "input_text",
        "text": "Fix the CodexScope hosted CLI auth start route so verification URLs use the public app origin behind a reverse proxy instead of 0.0.0.0:3000. Add or update tests. Keep the change minimal and run the relevant tests."
      }
    ]
  }
}

Inspect repoinspect

Captured via read output.

Jump to inspect

Open raw payload

Inspect the repo before editing.

9:40:17 PM · tool call · shell · call_uUJCNds

{
  "timestamp": "2026-03-13T21:40:17.657Z",
  "type": "response_item",
  "payload": {
    "type": "function_call",
    "name": "shell",
    "arguments": "{\"command\":[\"bash\",\"-lc\",\"rg -n \\\"auth start|verification url|0\\\\.0\\\\.0\\\\.0|start route|verify\\\" apps/web packages -S\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}",
    "call_id": "call_uUJCNdssLKPhBUT16ucgEtec"
  }
}

Session outputauthor

apps/web/lib/github.ts · session output

Jump to edit

Open raw payload

responseitem

9:40:17 PM · tool output · apps/web/lib/github.ts · call_uUJCNds

{
  "timestamp": "2026-03-13T21:40:17.723Z",
  "type": "response_item",
  "payload": {
    "type": "function_call_output",
    "call_id": "call_uUJCNdssLKPhBUT16ucgEtec",
    "output": "{\"output\":\"apps/web/lib/github.ts:99:export function verifyGitHubSignature(rawBody: string, signature: string | null, secret: string): boolean {\\napps/web/app/api/github/webhook/route.ts:10:  verifyGitHubSignature,\\napps/web/app/api/github/webhook/route.ts:19:    if (!verifyGitHubSignature(rawBody, signature, secret)) {\\napps/web/app/integrations/github/page.tsx:240:          : \\\"Open one PR and verify replay\\\"\\napps/web/app/integrations/github/page.tsx:349:                    ? \\\"Open one real PR and verify replay plus summary comment.\\\"\\napps/web/app/replays/[id]/page.tsx:986:            <p>Exact hunks first. Proof only where it helps verify the diff.</p>\\napps/web/app/integrations/github/manifest/callback/page.tsx:111:          <h3>Verify replay and PR summary</h3>\\napps/web/app/integrations/github/callback/page.tsx:188:          <h3>Open one PR and verify the replay</h3>\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"
  }
}

Commit resultcommit

packages/cli/src/auth.ts · commit result

Jump to outcome

Open raw payload

Record the commit that finalized the change.

9:40:20 PM · tool output · packages/cli/src/auth.ts · call_vLy7DQX

{
  "timestamp": "2026-03-13T21:40:20.982Z",
  "type": "response_item",
  "payload": {
    "type": "function_call_output",
    "call_id": "call_vLy7DQXxQj4KWLpe1u3pBP7k",
    "output": "{\"output\":\"packages/cli/src/auth.ts:11:  verificationUri: string;\\npackages/cli/src/auth.ts:12:  verificationUriComplete: string;\\npackages/cli/src/auth.ts:57:async function startCliAuth(url: string, mode: \\\"browser\\\" | \\\"device\\\"): Promise<StartCliAuthResponse> {\\npackages/cli/src/auth.ts:58:  const response = await fetch(`${url.replace(/\\\\/$/, \\\"\\\")}/api/auth/cli/start`, {\\npackages/cli/src/auth.ts:80:    `${url.replace(/\\\\/$/, \\\"\\\")}/api/auth/cli/poll?request_id=${encodeURIComponent(requestId)}`,\\npackages/cli/src/auth.ts:93:export async function runCliLogin(url: string, deviceAuth: boolean): Promise<CliConfig> {\\npackages/cli/src/auth.ts:94:  const mode = deviceAuth ? \\\"device\\\" : \\\"browser\\\";\\npackages/cli/src/auth.ts:97:  if (deviceAuth) {\\npackages/cli/src/auth.ts:101:        `  Visit: ${auth.verificationUri}`,\\npackages/cli/src/auth.ts:107:    const opened = await openBrowser(auth.verificationUriComplete);\\npackages/cli/src/auth.ts:111:        : `[codexscope] Open this URL to finish login:\\\\n  ${auth.verificationUriComplete}\\\\n`,\\npackages/cli/src/auth.ts:127:        source: deviceAuth ? \\\"device\\\" : \\\"browser\\\",\\napps/web/lib/store.ts:15:  mode: \\\"browser\\\" | \\\"device\\\";\\napps/web/lib/store.ts:36:  source: \\\"cli_browser\\\" | \\\"cli_device\\\" | \\\"service\\\";\\napps/web/lib/auth.ts:16:  mode: \\\"browser\\\" | \\\"device\\\";\\napps/web/lib/auth.ts:27:  verificationUri: string;\\napps/web/lib/auth.ts:28:  verificationUriComplete: string;\\napps/web/lib/auth.ts:183:  const verificationUri = `${normalizeOrigin(input.origin)}/cli-auth`;\\napps/web/lib/auth.ts:184:  const verificationUriComplete =\\napps/web/lib/auth.ts:185:    `${verificationUri}?request=${encodeURIComponent(requestId)}&code=${encodeURIComponent(userCode)}`;\\napps/web/lib/auth.ts:192:    verificationUri,\\napps/web/lib/auth.ts:193:    verificationUriComplete,\\napps/web/lib/auth.ts:244:    source: request.mode === \\\"device\\\" ? \\\"cli_device\\\" : \\\"cli_browser\\\",\\napps/web/lib/auth.test.ts:26:  it(\\\"starts, approves, polls, and authenticates a browser login\\\", async () => {\\napps/web/lib/auth.test.ts:29:    const started = await auth.startCliAuth({\\napps/web/lib/auth.test.ts:37:    expect(started.verificationUri).toBe(\\\"http://127.0.0.1:3000/cli-auth\\\");\\napps/web/lib/auth.test.ts:38:    expect(started.verificationUriComplete).toContain(`request=${encodeURIComponent(started.requestId)}`);\\napps/web/lib/auth.test.ts:67:  it(\\\"finds a device request by code-only lookup\\\", async () => {\\napps/web/lib/auth.test.ts:69:    const started = await auth.startCliAuth({\\napps/web/lib/auth.test.ts:71:      mode: \\\"device\\\",\\napps/web/lib/auth.test.ts:82:    expect(resolved?.mode).toBe(\\\"device\\\");\\npackages/cli/src/config.ts:8:  source?: \\\"manual\\\" | \\\"browser\\\" | \\\"device\\\" | \\\"env\\\";\\npackages/cli/src/index.ts:56:  const deviceAuth = args.includes(\\\"--device-auth\\\");\\npackages/cli/src/index.ts:78:  const config = await runCliLogin(url, deviceAuth);\\npackages/cli/src/index.ts:83:      `Auth: ${deviceAuth ? \\\"device code\\\" : \\\"browser login\\\"}`,\\npackages/cli/src/index.ts:148:      \\\"  login [--url <url>] [--device-auth]\\\",\\npackages/cli/src/index.ts:155:      \\\"Default human login opens a browser. Use --device-auth for headless terminals.\\\",\\npackages/cli/src/auth.test.ts:8:  it(\\\"completes a device auth login after approval polling\\\", async () => {\\npackages/cli/src/auth.test.ts:17:          verificationUri: \\\"http://127.0.0.1:3000/cli-auth\\\",\\npackages/cli/src/auth.test.ts:18:          verificationUriComplete: \\\"http://127.0.0.1:3000/cli-auth?request=request-1&code=ABCD-EFGH\\\",\\npackages/cli/src/auth.test.ts:43:    expect(result.source).toBe(\\\"device\\\");\\napps/web/app/api/auth/cli/start/route.ts:3:import { startCliAuth } from \\\"../../../../../lib/auth\\\";\\napps/web/app/api/auth/cli/start/route.ts:7:    mode?: \\\"browser\\\" | \\\"device\\\";\\napps/web/app/api/auth/cli/start/route.ts:15:    mode: payload.mode === \\\"device\\\" ? \\\"device\\\" : \\\"browser\\\",\\napps/web/app/cli-auth/page.tsx:61:              <li>Mode: {request.mode === \\\"device\\\" ? \\\"Device code\\\" : \\\"Browser handoff\\\"}</li>\\napps/web/app/cli-auth/page.tsx:76:                If you opened the generic device page, paste the code from the terminal first.\\napps/web/app/cli-auth/page.tsx:104:              <form action=\\\"/api/auth/cli/approve\\\" method=\\\"post\\\" className=\\\"auth-form\\\">\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"
  }
}

Session outputauthor

AGENTS.md · session output

Jump to edit

Open raw payload

responseitem

9:40:27 PM · tool output · AGENTS.md · call_Yh6WAJ7

{
  "timestamp": "2026-03-13T21:40:27.964Z",
  "type": "response_item",
  "payload": {
    "type": "function_call_output",
    "call_id": "call_Yh6WAJ752U5VFo5Xhof9U9ze",
    "output": "{\"output\":\"./AGENTS.md\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.1}}"
  }
}

Open authoring proof

Open full raw transcript JSON (1)

session raw transcripteb272de6

183 raw line(s)

{"timestamp":"2026-03-13T21:40:10.464Z","type":"session_meta","payload":{"id":"019ce924-8449-70d1-ae45-f9471f8c00f0","timestamp":"2026-03-13T21:40:10.441Z","cwd":"/Users/admin/dev/codexscope-dogfood-auth","originator":"Codex Desktop","cli_version":"0.87.0","instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","source":"exec","model_provider":"openai","git":{"commit_hash":"b4ea4ce8e7b4aba5b389dea0d70e488f3b93d6a5","branch":"dogfood/cli-auth-origin","repository_url":"https://github.com/cfregly/codexscope.git"}}}
{"timestamp":"2026-03-13T21:40:10.464Z","type":"response_item","payload":{"type":"message","role":"developer","content":[{"type":"input_text","text":"<permissions instructions>Filesystem sandboxing defines which files can be read or written. `sandbox_mode` is `danger-full-access`: No filesystem sandboxing - all commands are permitted. Network access is enabled. Approvals are your mechanism to get user consent to run shell commands without the sandbox. `approval_policy` is `never`: This is a non-interactive mode where you may NEVER ask the user for approval to run commands. Instead, you must always persist and work around constraints to solve the task for the user. You MUST do your utmost best to finish the task and validate your work before yielding. If this mode is paired with `danger-full-access`, take advantage of it to deliver the best outcome for the user. Further, in this mode, your default testing philosophy is overridden: Even if you don't see local patterns for testing, you may add tests and scripts to validate your work. Just remove them before yielding.</permissions instructions>"}]}}
{"timestamp":"2026-03-13T21:40:10.464Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"# AGENTS.md instructions for /Users/admin/dev/codexscope-dogfood-auth\n\n<INSTRUCTIONS>\n# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.\n</INSTRUCTIONS>"}]}}
{"timestamp":"2026-03-13T21:40:10.464Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"<environment_context>\n  <cwd>/Users/admin/dev/codexscope-dogfood-auth</cwd>\n  <shell>zsh</shell>\n</environment_context>"}]}}
{"timestamp":"2026-03-13T21:40:10.473Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"Fix the CodexScope hosted CLI auth start route so verification URLs use the public app origin behind a reverse proxy instead of 0.0.0.0:3000. Add or update tests. Keep the change minimal and run the relevant tests."}]}}
{"timestamp":"2026-03-13T21:40:10.474Z","type":"event_msg","payload":{"type":"user_message","message":"Fix the CodexScope hosted CLI auth start route so verification URLs use the public app origin behind a reverse proxy instead of 0.0.0.0:3000. Add or update tests. Keep the change minimal and run the relevant tests.","images":[],"local_images":[],"text_elements":[]}}
{"timestamp":"2026-03-13T21:40:10.474Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:40:10.840Z","type":"event_msg","payload":{"type":"token_count","info":null,"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:15.761Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Fixing route issue**\n\nI need to fix the verification URLs so they use the public app origin behind a reverse proxy instead of the default 0.0.0.0:3000. I should inspect the repository, particularly the AGENTS root. Since this seems non-trivial, it may require multiple actions and tests. I'll check the subdirectory AGENTS and perhaps inspect the root files. It looks like I'll also need to set up a preamble before the tool call and use update_plan. A quick scan sounds like a good start!"}}
{"timestamp":"2026-03-13T21:40:15.762Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Fixing route issue**\n\nI need to fix the verification URLs so they use the public app origin behind a reverse proxy instead of the default 0.0.0.0:3000. I should inspect the repository, particularly the AGENTS root. Since this seems non-trivial, it may require multiple actions and tests. I'll check the subdirectory AGENTS and perhaps inspect the root files. It looks like I'll also need to set up a preamble before the tool call and use update_plan. A quick scan sounds like a good start!"}],"content":null,"encrypted_content":"gAAAAABptIQ_DlRW1KNK9XMqPS43a8Uoaa2LxNIsu02Ju-gDKkcTPg4J_FgpLMpehPCzCtF0gOhGHrVrkh5D8DtdKUlDfJ4km9liqlUk_irmefKkhH3oBfKaOFP6iToaPCDmZx9C70IFzpqRrGNBCPUZA8uRN-R_uL41mbGLa1WW2s0wZHUspK4CpDQZMWkmvudlFIwZIKrGoh4xcdkFqbYHCdfkDGulm2wPxosLnbkxS_GZfpgjAGkjx7HPza4OoQKrU95KQyhY9LHPjFg2wJXUi0UUOYgweC_JIrv79B6y43Rsu5b6ILNs4vSHUOQ-uOd2pLt7fU3QQmoxecfIe4RPLfXtXkdiPn_4u_lV8T9b7ntWuI26LbJ87MT0sQ_dBNOolO0CE0tbDST3XF8pZQMUXPee-0p-O6Ps6gz-42gH_ooXR4zYX2BqpcBNo-URbuI5mUk-9S6dfXQUaItyNQY62aqvzf-I3To5YPBcAnn5YFDviaHb4V6y7mN5pkYdlCn-dvuMtuvSJiph8RamrzCXFmvJeny-_XoavLRfNyNVbe8Tk_KMABPmYrpQG1s4XLf0MjHkd1-d9XQGa_Br8NfixGkVAEg09pjKa5sTojqYhtw0UU5LSsjR_l-p7RjZYNYQoHIALB74uSueJLtECVuJCRLYJikd6QMtt0s7kR1qEufDr-AspQkL4U-kBznRsDzvDCjKNZ4CnkTxELzAjB8UFuvR-rMKcPlKfVK02k2lnvJLE6tOZlPEtib0BSmM4sl1c4quP1-zCzaKTi-3F9YP04MPYwiA1vMMaqB1N0XnhVMwphr5kogxYXFVzJmms0UjIWTLZX5VTekXH_KNyHhNRZHWg2pI8AH-bSlQ-KRTQ8P6gXOTzGxNCF6K6-v_KtYy4YqTUuJxnTGf27XinxppmonFRsAL50EQbYXIhQTPTjzAxmkqqPMTskk-mfuwZnWnMBmEz6wOVDoPaua78NbP1Hfgukfs5klu1sAdT8HqdwX5reKoQ_d9tlyo4Y167ehotds0t5LxY02hY74yn7uRTzA15j6TaNd7kJtnL_8Y9_7L7e9b1EVTpDP_iLQwg6MSAm2TTy0UH6pbTWTJk34IIikTMiazQEsttEhQGMG1nXDk9wcM7cTq3JYYRThlLTMSL0t19ZXfqpf4NvALHtVlSEq79mu5YMA_gHq4qN50Duwz6zqgdo_xXpxAbLxKAgZoN8X-cOnO__04L6SSSP-tRaz1toBm_cq81a_fZX8wngBrbcFeSZF72IxuQaz_ncgVvR9luNGh3peyLIgEeV4nwe95gExKsBcuLRrPnNDRItxvsFuPy9Q="}}
{"timestamp":"2026-03-13T21:40:15.779Z","type":"event_msg","payload":{"type":"agent_message","message":"I’ll inspect the auth route and its tests, then patch minimally."}}
{"timestamp":"2026-03-13T21:40:15.779Z","type":"response_item","payload":{"type":"message","role":"assistant","content":[{"type":"output_text","text":"I’ll inspect the auth route and its tests, then patch minimally."}]}}
{"timestamp":"2026-03-13T21:40:15.906Z","type":"response_item","payload":{"type":"function_call","name":"update_plan","arguments":"{\"plan\":[{\"step\":\"Locate auth start route\",\"status\":\"in_progress\"},{\"step\":\"Identify public origin source\",\"status\":\"pending\"},{\"step\":\"Patch route and tests\",\"status\":\"pending\"},{\"step\":\"Run relevant test suite\",\"status\":\"pending\"}]}","call_id":"call_or83M4ORGkXpp1B0vR87l3vl"}}
{"timestamp":"2026-03-13T21:40:15.913Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":8258,"cached_input_tokens":4864,"output_tokens":173,"reasoning_output_tokens":87,"total_tokens":8431},"last_token_usage":{"input_tokens":8258,"cached_input_tokens":4864,"output_tokens":173,"reasoning_output_tokens":87,"total_tokens":8431},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:15.913Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_or83M4ORGkXpp1B0vR87l3vl","output":"Plan updated"}}
{"timestamp":"2026-03-13T21:40:15.913Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:40:16.278Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":8258,"cached_input_tokens":4864,"output_tokens":173,"reasoning_output_tokens":87,"total_tokens":8431},"last_token_usage":{"input_tokens":8258,"cached_input_tokens":4864,"output_tokens":173,"reasoning_output_tokens":87,"total_tokens":8431},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:17.657Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"rg -n \\\"auth start|verification url|0\\\\.0\\\\.0\\\\.0|start route|verify\\\" apps/web packages -S\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_uUJCNdssLKPhBUT16ucgEtec"}}
{"timestamp":"2026-03-13T21:40:17.723Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":16702,"cached_input_tokens":13184,"output_tokens":245,"reasoning_output_tokens":87,"total_tokens":16947},"last_token_usage":{"input_tokens":8444,"cached_input_tokens":8320,"output_tokens":72,"reasoning_output_tokens":0,"total_tokens":8516},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:17.723Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_uUJCNdssLKPhBUT16ucgEtec","output":"{\"output\":\"apps/web/lib/github.ts:99:export function verifyGitHubSignature(rawBody: string, signature: string | null, secret: string): boolean {\\napps/web/app/api/github/webhook/route.ts:10:  verifyGitHubSignature,\\napps/web/app/api/github/webhook/route.ts:19:    if (!verifyGitHubSignature(rawBody, signature, secret)) {\\napps/web/app/integrations/github/page.tsx:240:          : \\\"Open one PR and verify replay\\\"\\napps/web/app/integrations/github/page.tsx:349:                    ? \\\"Open one real PR and verify replay plus summary comment.\\\"\\napps/web/app/replays/[id]/page.tsx:986:            <p>Exact hunks first. Proof only where it helps verify the diff.</p>\\napps/web/app/integrations/github/manifest/callback/page.tsx:111:          <h3>Verify replay and PR summary</h3>\\napps/web/app/integrations/github/callback/page.tsx:188:          <h3>Open one PR and verify the replay</h3>\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:40:17.723Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:40:18.187Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":16702,"cached_input_tokens":13184,"output_tokens":245,"reasoning_output_tokens":87,"total_tokens":16947},"last_token_usage":{"input_tokens":8444,"cached_input_tokens":8320,"output_tokens":72,"reasoning_output_tokens":0,"total_tokens":8516},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:20.726Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"I'm realizing the search terms I have aren't sufficient for what I need. I think I'll need to focus on the likely routes in applications or web settings, particularly something like api/auth/... It might be good to check the login processes or consider command line authentication as well. It all feels a bit murky, but I’m determined to find the right path! Let’s see how I can tackle this!"}}
{"timestamp":"2026-03-13T21:40:20.726Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"I'm realizing the search terms I have aren't sufficient for what I need. I think I'll need to focus on the likely routes in applications or web settings, particularly something like api/auth/... It might be good to check the login processes or consider command line authentication as well. It all feels a bit murky, but I’m determined to find the right path! Let’s see how I can tackle this!"}],"content":null,"encrypted_content":"gAAAAABptIREUz9PUcl0HRJczpur3ipYPZVi8y8ygY_f5JxOIYLci4ZJGHkp4ST368UY-HKWm75qw3qq3msG1y-1Vk8WWDgSZfmQ0MtkC9Njs2iKMM7myWqSIJYDs_zuSCyQojxw9p3Y8s4PZO90oR0mWdqFfdVQGtieLt-PqleCsf69Ra1YwsecqZDwHs0Yc33UM27uM3esEpdr-Z5pMlo2FMo87QqcFkOaSBgTrHjtjVH6D47jvLp6S-M_DiDlP6t5hj3sbk7Puzrp7rW-v8NXLGFXgZxs9gJTWeMECblTrHkleFDcyDBb2FDgOWOo7e--sUaW7NB7l0BwtX3f4g4bhmu9y81TxIUCe1XjZTv-VkmFkD-mCnvPyOQYrXKGSInXde1rF56JY0RR-0l10wAwMKT_hknjpUEpGcsgoC3hpVUvzzXSUVD7XYzoWTDBImv0znFCPbkdnjrkbiXg2iSxiTNT25uu8fE4iuUH_6WfZemorRvV2C5fuXRambE9zcgAgTFRvGf8PlBziqFM1GZznZLsjRiLsbvrN6G0jKi3cLfxuWOc1t4fnoR7JroZpnJkpyNJ4vX17PFMnOs4sMKnxnrubgZCxdXF7lPMd0e1-c80PsL6ircehQWtWWJ8pJHOT6A6et9dsdNEpu8h2X0VcFCs4iyB5ud0nFWo7N8QIWW7H7Ky5ZzZCs7sQdryvyGVMZuvoogib8RGDmKWXNT0kv1D0iW7HfMIGUm-znllZER9z9_N6eN5L1JiD6KOy4V2IAUINPye9ymRFn_ke-Dia-TIGObFkqvKm5fdgZn_d1GwZCTNJEqwNZYTrg5oPtfqd5CpA1Xy29MVTlTUl98clmliI_dEz9Oh-21Z5XwJLaw36v3y5eIgLFfERcDrdYGPT4U_NfAFZBRV8Ka-6MAWI2A78BUKkC3sbuiDkuWSaaptHQe4rCD0eFtr7pCywTg8u9S87zKWEBByx1MzrD4khQN4srJKdA=="}}
{"timestamp":"2026-03-13T21:40:20.756Z","type":"event_msg","payload":{"type":"agent_message","message":"I’ve got the repo shape; now narrowing to CLI auth handlers."}}
{"timestamp":"2026-03-13T21:40:20.757Z","type":"response_item","payload":{"type":"message","role":"assistant","content":[{"type":"output_text","text":"I’ve got the repo shape; now narrowing to CLI auth handlers."}]}}
{"timestamp":"2026-03-13T21:40:20.953Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"rg -n \\\"cli auth|device|verification|login --url|start.*auth|auth/start|/api/.*auth|verificationUri|verification_url|user_code|device_code\\\" apps/web packages/shared packages/cli -S\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_vLy7DQXxQj4KWLpe1u3pBP7k"}}
{"timestamp":"2026-03-13T21:40:20.962Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":25479,"cached_input_tokens":21504,"output_tokens":386,"reasoning_output_tokens":112,"total_tokens":25865},"last_token_usage":{"input_tokens":8777,"cached_input_tokens":8320,"output_tokens":141,"reasoning_output_tokens":25,"total_tokens":8918},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:20.982Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_vLy7DQXxQj4KWLpe1u3pBP7k","output":"{\"output\":\"packages/cli/src/auth.ts:11:  verificationUri: string;\\npackages/cli/src/auth.ts:12:  verificationUriComplete: string;\\npackages/cli/src/auth.ts:57:async function startCliAuth(url: string, mode: \\\"browser\\\" | \\\"device\\\"): Promise<StartCliAuthResponse> {\\npackages/cli/src/auth.ts:58:  const response = await fetch(`${url.replace(/\\\\/$/, \\\"\\\")}/api/auth/cli/start`, {\\npackages/cli/src/auth.ts:80:    `${url.replace(/\\\\/$/, \\\"\\\")}/api/auth/cli/poll?request_id=${encodeURIComponent(requestId)}`,\\npackages/cli/src/auth.ts:93:export async function runCliLogin(url: string, deviceAuth: boolean): Promise<CliConfig> {\\npackages/cli/src/auth.ts:94:  const mode = deviceAuth ? \\\"device\\\" : \\\"browser\\\";\\npackages/cli/src/auth.ts:97:  if (deviceAuth) {\\npackages/cli/src/auth.ts:101:        `  Visit: ${auth.verificationUri}`,\\npackages/cli/src/auth.ts:107:    const opened = await openBrowser(auth.verificationUriComplete);\\npackages/cli/src/auth.ts:111:        : `[codexscope] Open this URL to finish login:\\\\n  ${auth.verificationUriComplete}\\\\n`,\\npackages/cli/src/auth.ts:127:        source: deviceAuth ? \\\"device\\\" : \\\"browser\\\",\\napps/web/lib/store.ts:15:  mode: \\\"browser\\\" | \\\"device\\\";\\napps/web/lib/store.ts:36:  source: \\\"cli_browser\\\" | \\\"cli_device\\\" | \\\"service\\\";\\napps/web/lib/auth.ts:16:  mode: \\\"browser\\\" | \\\"device\\\";\\napps/web/lib/auth.ts:27:  verificationUri: string;\\napps/web/lib/auth.ts:28:  verificationUriComplete: string;\\napps/web/lib/auth.ts:183:  const verificationUri = `${normalizeOrigin(input.origin)}/cli-auth`;\\napps/web/lib/auth.ts:184:  const verificationUriComplete =\\napps/web/lib/auth.ts:185:    `${verificationUri}?request=${encodeURIComponent(requestId)}&code=${encodeURIComponent(userCode)}`;\\napps/web/lib/auth.ts:192:    verificationUri,\\napps/web/lib/auth.ts:193:    verificationUriComplete,\\napps/web/lib/auth.ts:244:    source: request.mode === \\\"device\\\" ? \\\"cli_device\\\" : \\\"cli_browser\\\",\\napps/web/lib/auth.test.ts:26:  it(\\\"starts, approves, polls, and authenticates a browser login\\\", async () => {\\napps/web/lib/auth.test.ts:29:    const started = await auth.startCliAuth({\\napps/web/lib/auth.test.ts:37:    expect(started.verificationUri).toBe(\\\"http://127.0.0.1:3000/cli-auth\\\");\\napps/web/lib/auth.test.ts:38:    expect(started.verificationUriComplete).toContain(`request=${encodeURIComponent(started.requestId)}`);\\napps/web/lib/auth.test.ts:67:  it(\\\"finds a device request by code-only lookup\\\", async () => {\\napps/web/lib/auth.test.ts:69:    const started = await auth.startCliAuth({\\napps/web/lib/auth.test.ts:71:      mode: \\\"device\\\",\\napps/web/lib/auth.test.ts:82:    expect(resolved?.mode).toBe(\\\"device\\\");\\npackages/cli/src/config.ts:8:  source?: \\\"manual\\\" | \\\"browser\\\" | \\\"device\\\" | \\\"env\\\";\\npackages/cli/src/index.ts:56:  const deviceAuth = args.includes(\\\"--device-auth\\\");\\npackages/cli/src/index.ts:78:  const config = await runCliLogin(url, deviceAuth);\\npackages/cli/src/index.ts:83:      `Auth: ${deviceAuth ? \\\"device code\\\" : \\\"browser login\\\"}`,\\npackages/cli/src/index.ts:148:      \\\"  login [--url <url>] [--device-auth]\\\",\\npackages/cli/src/index.ts:155:      \\\"Default human login opens a browser. Use --device-auth for headless terminals.\\\",\\npackages/cli/src/auth.test.ts:8:  it(\\\"completes a device auth login after approval polling\\\", async () => {\\npackages/cli/src/auth.test.ts:17:          verificationUri: \\\"http://127.0.0.1:3000/cli-auth\\\",\\npackages/cli/src/auth.test.ts:18:          verificationUriComplete: \\\"http://127.0.0.1:3000/cli-auth?request=request-1&code=ABCD-EFGH\\\",\\npackages/cli/src/auth.test.ts:43:    expect(result.source).toBe(\\\"device\\\");\\napps/web/app/api/auth/cli/start/route.ts:3:import { startCliAuth } from \\\"../../../../../lib/auth\\\";\\napps/web/app/api/auth/cli/start/route.ts:7:    mode?: \\\"browser\\\" | \\\"device\\\";\\napps/web/app/api/auth/cli/start/route.ts:15:    mode: payload.mode === \\\"device\\\" ? \\\"device\\\" : \\\"browser\\\",\\napps/web/app/cli-auth/page.tsx:61:              <li>Mode: {request.mode === \\\"device\\\" ? \\\"Device code\\\" : \\\"Browser handoff\\\"}</li>\\napps/web/app/cli-auth/page.tsx:76:                If you opened the generic device page, paste the code from the terminal first.\\napps/web/app/cli-auth/page.tsx:104:              <form action=\\\"/api/auth/cli/approve\\\" method=\\\"post\\\" className=\\\"auth-form\\\">\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:40:20.982Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:40:24.150Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":25479,"cached_input_tokens":21504,"output_tokens":386,"reasoning_output_tokens":112,"total_tokens":25865},"last_token_usage":{"input_tokens":8777,"cached_input_tokens":8320,"output_tokens":141,"reasoning_output_tokens":25,"total_tokens":8918},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:27.757Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Inspecting route functions**\n\nI'm thinking I need to inspect the route and maybe look into the authentication functions. I'm considering whether I need to check for AGENTS in the subdirectories, but I doubt it. Still, it might be worth checking in the apps/web/AGENTS. I’ll probably use a tool like rg to search for what's relevant. It’s all about making sure I’m thorough while trying to figure this out!"}}
{"timestamp":"2026-03-13T21:40:27.757Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Inspecting route functions**\n\nI'm thinking I need to inspect the route and maybe look into the authentication functions. I'm considering whether I need to check for AGENTS in the subdirectories, but I doubt it. Still, it might be worth checking in the apps/web/AGENTS. I’ll probably use a tool like rg to search for what's relevant. It’s all about making sure I’m thorough while trying to figure this out!"}],"content":null,"encrypted_content":"gAAAAABptIRLswWsteAa5ghnW9oy_r9KNzCTo3d9NQqIj7LrBWhknNwexe5VR6mLuNjbvowfStR7NRSUr8Hl9Y5xAvW7I2LRWu28YmsbjlxtiKm5M58tmGQBXVSDnm5X6jZv4uRKk4wuapucyXWUmKUUs6UkFcmXfeT0aqcGi8UONT0ocl7P_fMxezxzwMrbwLPDDVbvdiEyWvF552e3FDEeU59VbqbEdj-j4N3P5YBErLz3dPTt_RGajwEvKK8E-brLG-c56ZY-05VmEosqTGPNkOwLDCh2QBYNjnQe7SQ2XnHW_VZYMjtuCtf603v9xPqo-cIwP4SiQvRBknaBbMGS2w0JcLuwot2tmYvSoAHFkzSfR4osdKFHjAuGob_jAZHNYhCjCsx9J8f4undxejUkHBHEoXPqtOu-cn6xOrDw6h4J3ndnhB9C-bTtKh6M2Tv3KSmOptgzDeuZYRPhkTQCvs4EJHWO6RHf4hBOTTf8fgDB5hHdnKzkMxkJiI2RL3ujbqE3YmXnZkbuet2DLviLe8JFJn9tu3igQU8LBZ1-tvdu9VAgHpGgWFbq2lD2HUtPRnTYN7jr-I6fKL-SNV_AvXg5HOlYEFDrJzR_nbLyi89ALeLCrIirQGXgsmyUoqoiLJSENJzYs5CezK18qCp15bKICZ7YoTvvGtX6-jqW4QDAMmFeLCfk0yrbupLI6jiOHqda95OneI5QCDvswDN2Yw5O2zOMagi3OuuX5KE1HtKmDvqRIaAlftShEh7mhXIsX-k2QXsIQcm9Wk-5HXWUW-TRnu5w6Kcvx7DJ_9YA2nHu2lBvH2i4FO1Fa0qAssPOjboZ4LX-P4bpb6u7kvk7r_oyvjAxYXHc5wJb95Ul-88kC1yT5RLWUwpHDEIXcsRLuOpS5rea6jTDvMCrfLpNgSyZDo5AkER2rYjmDclL762pycJ3c_znmlKM1bRlhXl8CczEST8sG0pPgYb2mZwy6wgFwqAdgOyMk5OS3OyB93tpOV0mm77mQ42rwX5BoJZ6xnuLEzuw"}}
{"timestamp":"2026-03-13T21:40:27.886Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"find . -name AGENTS.md -print\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_Yh6WAJ752U5VFo5Xhof9U9ze"}}
{"timestamp":"2026-03-13T21:40:27.891Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":35662,"cached_input_tokens":30208,"output_tokens":476,"reasoning_output_tokens":147,"total_tokens":36138},"last_token_usage":{"input_tokens":10183,"cached_input_tokens":8704,"output_tokens":90,"reasoning_output_tokens":35,"total_tokens":10273},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:27.964Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_Yh6WAJ752U5VFo5Xhof9U9ze","output":"{\"output\":\"./AGENTS.md\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.1}}"}}
{"timestamp":"2026-03-13T21:40:27.964Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:40:28.434Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":35662,"cached_input_tokens":30208,"output_tokens":476,"reasoning_output_tokens":147,"total_tokens":36138},"last_token_usage":{"input_tokens":10183,"cached_input_tokens":8704,"output_tokens":90,"reasoning_output_tokens":35,"total_tokens":10273},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:29.269Z","type":"response_item","payload":{"type":"reasoning","summary":[],"content":null,"encrypted_content":"gAAAAABptIRNl5HSFHvFX7rsiqqBi3QyH3UbF-kDGEfgDD6t7XbA0h9roADTL9xXa2fVVhIQYEIP28EaSWCYtbSpBohgUPQdm8QKIcxeLsbipKLq1-x3wmZ5xH38g6M00dDE3SCZVVESDX-fHh4Tb-VlzPvmIN4MNcQlrERxcTHlO4lWn5jQX9qo1u5jMQrSniE_llsa4i8wULEtgmRcTQ3yuY9mghb5lRZ5buAltbnWn80g9n245QZ9UdJAhtWUXcPKnBO-Dr-f4yv0v7AEZPlvQ0-ufNWRxZCMN5aLHEPBw5GawS5dhyCnzJMZ5mHBLtdesJ0Jy7nGT7iNKnxbY7Y8P3FjOJVY_ut_EzcDW_1EVpRa1FqOcNudfdiROuPRJlCrutBTWrwReu4UBs9zvgsD-GL7-wi1cW8CMI6u5mnpfmr5OQyoTmV1KEVF8xDsa8WBuKyE1HdBVqVSHcKbAMbzl7QcwGmSnAPeQk5ZGcxNIcAMAOgX_9PN5FyV_SHuMlQiZF6RfZK5fsbAKw6Qc3K9lwj_-SYFwjCd2dQ-RtwWP7vJn0u_j4aUKuSSGSHokSQroI5ru9mKkpx7V_xxzFxJ1gpysZq9KMZ8izvLQl51SmCFg8P_eAUlUIv03-QWJOsF-KChZ7xWdHZzn9-mYETLKmLv7utplO272sggiSOEIV-CKnKjCDjORZ6QrS1Z-g5qG7t5h0GkNfUTYHYp8-GPgWwFhAIMidXZqWDyo-9HyOQdYKc28XJ_-yoeBGEPFY69rjE1f85TM0jlgrHYh1c5oQBpLlvarnx6X7AP4yEF7pOdCUfim_3D9j91mjEd0Bz9kc17oBduyYpRdF_Q5zSuEFyM-P3G8wEH8ag0y4ZUk4fardzTp0KJYGMsfGf3yRS8hdZ6WTUz"}}
{"timestamp":"2026-03-13T21:40:29.804Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"sed -n '1,220p' apps/web/app/api/auth/cli/start/route.ts && printf '\\\\n---\\\\n' && sed -n '1,320p' apps/web/lib/auth.ts && printf '\\\\n---\\\\n' && sed -n '1,180p' apps/web/lib/auth.test.ts\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_umgKtlNdDfvFysjpkvbgqoSR"}}
{"timestamp":"2026-03-13T21:40:29.809Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":45968,"cached_input_tokens":40320,"output_tokens":601,"reasoning_output_tokens":159,"total_tokens":46569},"last_token_usage":{"input_tokens":10306,"cached_input_tokens":10112,"output_tokens":125,"reasoning_output_tokens":12,"total_tokens":10431},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:29.831Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_umgKtlNdDfvFysjpkvbgqoSR","output":"{\"output\":\"Total output lines: 433\\n\\nimport { NextResponse } from \\\"next/server\\\";\\n\\nimport { startCliAuth } from \\\"../../../../../lib/auth\\\";\\n\\nexport async function POST(request: Request) {\\n  const payload = (await request.json().catch(() => ({}))) as {\\n    mode?: \\\"browser\\\" | \\\"device\\\";\\n    hostname?: string;\\n    cwd?: string;\\n    platform?: string;\\n  };\\n  const origin = new URL(request.url).origin;\\n  const result = await startCliAuth({\\n    origin,\\n    mode: payload.mode === \\\"device\\\" ? \\\"device\\\" : \\\"browser\\\",\\n    hostname: payload.hostname ?? null,\\n    cwd: payload.cwd ?? null,\\n    platform: payload.platform ?? null,\\n  });\\n\\n  return NextResponse.json({\\n    ok: true,\\n    ...result,\\n  });\\n}\\n\\n---\\nimport crypto from \\\"node:crypto\\\";\\n\\nimport type { ApiTokenRecord, CliAuthRequestRecord } from \\\"./store\\\";\\nimport { readState, writeState } from \\\"./store\\\";\\n\\nconst USER_CODE_ALPHABET = \\\"ABCDEFGHJKLMNPQRSTUVWXYZ23456789\\\";\\nconst USER_CODE_LENGTH = 8;\\nconst AUTH_REQUEST_TTL_MS = 10 * 60 * 1000;\\nconst ACCESS_TOKEN_TTL_MS = 30 * 24 * 60 * 60 * 1000;\\nconst POLL_INTERVAL_SECONDS = 2;\\n\\ntype StoredState = Awaited<ReturnType<typeof readState>>;\\n\\nexport type StartCliAuthInput = {\\n  origin: string;\\n  mode: \\\"browser\\\" | \\\"device\\\";\\n  hostname?: string | null;\\n  cwd?: string | null;\\n  platform?: string | null;\\n};\\n\\nexport type StartCliAuthResult = {\\n  requestId: string;\\n  userCode: string;\\n  expiresAt: string;\\n  intervalSeconds: number;\\n  verificationUri: string;\\n  verificationUriComplete: string;\\n};\\n\\nexport type PollCliAuthResult =\\n  | {\\n      status: \\\"authorization_pending\\\";\\n      intervalSeconds: number;\\n      expiresAt: string;\\n    }\\n  | {\\n      status: \\\"authorized\\\";\\n      intervalSeconds: number;\\n      accessToken: string;\\n      expiresAt: string | null;\\n      label: string;\\n    }\\n  | {\\n      status: \\\"expired_token\\\";\\n      intervalSeconds: number;\\n    }\\n  | {\\n      status: \\\"invalid_request\\\";\\n      intervalSeconds: number;\\n    };\\n\\nfunction nowIso(): string {\\n  return new Date().toISOString();\\n}\\n\\nfunction normalizeOrigin(origin: string): string {\\n  return origin.replace(/\\\\/$/, \\\"\\\");\\n}\\n\\nfunction normalizeUserCode(userCode: string | null | undefined): string | null {\\n  if (!userCode) {\\n    return null;\\n  }\\n\\n  const compact = userCode.toUpperCase().replace(/[^A-Z0-9]/g, \\\"\\\");\\n  if (compact.length !== USER_CODE_LENGTH) {\\n    return null;\\n  }\\n\\n  return `${compact.slice(0, 4)}-${compact.slice(4)}`;\\n}\\n\\nfunction generateUserCode(): string {\\n  let value = \\\"\\\";\\n  for (let index = 0; index < USER_CODE_LENGTH; index += 1) {\\n    const randomIndex = crypto.randomInt(0, USER_CODE_ALPHABET.length);\\n    value += USER_CODE_ALPHABET[randomIndex];\\n  }\\n\\n  return `${value.slice(0, 4)}-${value.slice(4)}`;\\n}\\n\\nfunction hashToken(token: string): string {\\n  return crypto.createHash(\\\"sha256\\\").update(token).digest(\\\"hex\\\");\\n}\\n\\nfunction issueAccessToken(): string {\\n  return `cs_${crypto.randomBytes(24).toString(\\\"base64url\\\")}`;\\n}\\n\\nfunction cleanupExpiredState(state: StoredState): boolean {\\n  let changed = false;\\n  const now = Date.now();\\n\\n  for (const request of Object.values(state.cliAuthRequests)) {\\n    if (request.status !== \\\"expired\\\" && Date.parse(request.expiresAt) <= now) {\\n      request.status = \\\"expired\\\";\\n      request.accessToken = null;\\n      changed = true;\\n    }\\n  }\\n\\n  for (const [tokenId, token] of Object.entries(state.apiTokens)) {\\n    if (token.expiresAt && Date.parse(token.expiresAt) <= now) {\\n      delete state.apiTokens[tokenId];\\n      changed = true;\\n    }\\n  }\\n\\n  return changed;\\n}\\n\\nasync function readStateWithCleanup(): Promise<StoredState> {\\n  const state = await readState();\\n  if (cleanupExpiredState(state)) {\\n    await writeState(state);\\n  }\\n\\n  return state;\\n}\\n\\nfunction findAuthRequest(\\n  state: StoredState,\\n  requestId?: string | null,\\n  userCode?: string | null,\\n): CliAuthRequestRecord | null {\\n  const normalizedUserCode = normalizeUserCode(userCode);\\n\\n  if (requestId) {\\n    const direct = state.cliAuthRequests[requestId] ?? null;\\n    if (!direct) {\\n      return null;\\n    }\\n\\n    if (normalizedUserCode && direct.userCode !== normalizedUserCode) {\\n      return null;\\n    }\\n\\n    return direct;\\n  }\\n\\n  if (!normalizedUserCode) {\\n    return null;\\n  }\\n\\n  return (\\n    Object.values(state.cliAuthRequests).find((request) => request.userCode === normalizedUserCode) ??\\n    null\\n  );\\n}\\n\\nexport async function startCliAuth(input: StartCliAuthInput): Promise<StartCliAuthResult> {\\n  const state = await readStateWithCleanup();\\n  const requestId = crypto.randomUUID();\\n  let userCode = generateUserCode();\\n  while (Object.values(state.cliAuthRequests).some((request) => request.userCode === userCode)) {\\n    userCode = generateUserCode();\\n  }\\n\\n  const createdAt = nowIso();\\n  const expiresAt = new Date(Date.now() + AUTH_REQUEST_TTL_MS).toISOString();\\n  const request: CliAuthRequestRecord = {\\n    requestId,\\n    userCode,\\n    mode: input.mode,\\n    status: \\\"pending\\\",\\n    createdAt,\\n    expiresAt,\\n    approvedAt: null,\\n    tokenId: null,\\n    accessToken: null,\\n    requestedBy: {\\n      hostname: input.hostname?.trim() ||…1418 chars truncated… return { ok: true, request };\\n  }\\n\\n  const accessToken = issueAccessToken();\\n  const tokenId = crypto.randomUUID();\\n  const token: ApiTokenRecord = {\\n    tokenId,\\n    label: request.requestedBy.hostname\\n      ? `CLI login for ${request.requestedBy.hostname}`\\n      : \\\"CLI login\\\",\\n    tokenHash: hashToken(accessToken),\\n    createdAt: nowIso(),\\n    expiresAt: new Date(Date.now() + ACCESS_TOKEN_TTL_MS).toISOString(),\\n    lastUsedAt: null,\\n    source: request.mode === \\\"device\\\" ? \\\"cli_device\\\" : \\\"cli_browser\\\",\\n    requestId: request.requestId,\\n  };\\n\\n  state.apiTokens[tokenId] = token;\\n  request.status = \\\"approved\\\";\\n  request.approvedAt = nowIso();\\n  request.tokenId = tokenId;\\n  request.accessToken = accessToken;\\n  await writeState(state);\\n\\n  return { ok: true, request };\\n}\\n\\nexport async function pollCliAuthRequest(requestId: string): Promise<PollCliAuthResult> {\\n  const state = await readStateWithCleanup();\\n  const request = findAuthRequest(state, requestId, null);\\n\\n  if (!request) {\\n    return {\\n      status: \\\"invalid_request\\\",\\n      intervalSeconds: POLL_INTERVAL_SECONDS,\\n    };\\n  }\\n\\n  if (request.status === \\\"expired\\\") {\\n    return {\\n      status: \\\"expired_token\\\",\\n      intervalSeconds: POLL_INTERVAL_SECONDS,\\n    };\\n  }\\n\\n  if (request.status !== \\\"approved\\\" || !request.tokenId || !request.accessToken) {\\n    return {\\n      status: \\\"authorization_pending\\\",\\n      intervalSeconds: POLL_INTERVAL_SECONDS,\\n      expiresAt: request.expiresAt,\\n    };\\n  }\\n\\n  const token = state.apiTokens[request.tokenId];\\n  if (!token) {\\n    request.status = \\\"expired\\\";\\n    request.accessToken = null;\\n    await writeState(state);\\n    return {\\n      status: \\\"expired_token\\\",\\n      intervalSeconds: POLL_INTERVAL_SECONDS,\\n    };\\n  }\\n\\n  return {\\n    status: \\\"authorized\\\",\\n    intervalSeconds: POLL_INTERVAL_SECONDS,\\n    accessToken: request.accessToken,\\n    expiresAt: token.expiresAt,\\n    label: token.label,\\n  };\\n}\\n\\nexport async function authenticateCliApiToken(token: string | null): Promise<ApiTokenRecord | null> {\\n  if (!token) {\\n    return null;\\n  }\\n\\n  const state = await readStateWithCleanup();\\n  const tokenHash = hashToken(token);\\n  const record =\\n    Object.values(state.apiTokens).find((candidate) => candidate.tokenHash === tokenHash) ?? null;\\n\\n  if (!record) {\\n    return null;\\n  }\\n\\n  record.lastUsedAt = nowIso();\\n  await writeState(state);\\n  return record;\\n\\n---\\nimport { mkdtemp, rm } from \\\"node:fs/promises\\\";\\nimport os from \\\"node:os\\\";\\nimport path from \\\"node:path\\\";\\n\\nimport { afterEach, beforeEach, describe, expect, it, vi } from \\\"vitest\\\";\\n\\nlet dataDir: string;\\n\\nasync function loadAuthModule() {\\n  vi.resetModules();\\n  return import(\\\"./auth\\\");\\n}\\n\\nbeforeEach(async () => {\\n  dataDir = await mkdtemp(path.join(os.tmpdir(), \\\"codexscope-auth-\\\"));\\n  process.env.CODEXSCOPE_DATA_DIR = dataDir;\\n});\\n\\nafterEach(async () => {\\n  delete process.env.CODEXSCOPE_DATA_DIR;\\n  vi.restoreAllMocks();\\n  await rm(dataDir, { recursive: true, force: true });\\n});\\n\\ndescribe(\\\"CLI auth flow\\\", () => {\\n  it(\\\"starts, approves, polls, and authenticates a browser login\\\", async () => {\\n    const auth = await loadAuthModule();\\n\\n    const started = await auth.startCliAuth({\\n      origin: \\\"http://127.0.0.1:3000\\\",\\n      mode: \\\"browser\\\",\\n      hostname: \\\"dogfood-mbp\\\",\\n      cwd: \\\"/Users/admin/dev/codexscope\\\",\\n      platform: \\\"darwin\\\",\\n    });\\n\\n    expect(started.verificationUri).toBe(\\\"http://127.0.0.1:3000/cli-auth\\\");\\n    expect(started.verificationUriComplete).toContain(`request=${encodeURIComponent(started.requestId)}`);\\n    expect(started.userCode).toMatch(/^[A-Z0-9]{4}-[A-Z0-9]{4}$/);\\n\\n    const pending = await auth.resolveCliAuthRequest({\\n      requestId: started.requestId,\\n      userCode: started.userCode.toLowerCase(),\\n    });\\n    expect(pending?.status).toBe(\\\"pending\\\");\\n    expect(pending?.requestedBy.hostname).toBe(\\\"dogfood-mbp\\\");\\n\\n    const approved = await auth.approveCliAuthRequest({\\n      requestId: started.requestId,\\n      userCode: started.userCode,\\n    });\\n    expect(approved.ok).toBe(true);\\n\\n    const polled = await auth.pollCliAuthRequest(started.requestId);\\n    expect(polled.status).toBe(\\\"authorized\\\");\\n    if (polled.status !== \\\"authorized\\\") {\\n      throw new Error(\\\"expected authorized status\\\");\\n    }\\n\\n    expect(polled.accessToken.startsWith(\\\"cs_\\\")).toBe(true);\\n    expect(polled.label).toContain(\\\"dogfood-mbp\\\");\\n\\n    const token = await auth.authenticateCliApiToken(polled.accessToken);\\n    expect(token?.source).toBe(\\\"cli_browser\\\");\\n  });\\n\\n  it(\\\"finds a device request by code-only lookup\\\", async () => {\\n    const auth = await loadAuthModule();\\n    const started = await auth.startCliAuth({\\n      origin: \\\"https://codexscope.dev\\\",\\n      mode: \\\"device\\\",\\n      hostname: \\\"linux-builder\\\",\\n      cwd: \\\"/srv/codexscope\\\",\\n      platform: \\\"linux\\\",\\n    });\\n\\n    const resolved = await auth.resolveCliAuthRequest({\\n      userCode: started.userCode.replace(\\\"-\\\", \\\"\\\"),\\n    });\\n\\n    expect(resolved?.requestId).toBe(started.requestId);\\n    expect(resolved?.mode).toBe(\\\"device\\\");\\n  });\\n});\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:40:29.835Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:40:30.582Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":45968,"cached_input_tokens":40320,"output_tokens":601,"reasoning_output_tokens":159,"total_tokens":46569},"last_token_usage":{"input_tokens":10306,"cached_input_tokens":10112,"output_tokens":125,"reasoning_output_tokens":12,"total_tokens":10431},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:41.192Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Inspecting auth.ts details**\n\nI need to gather the full content of auth.ts, especially focusing on the startCliAuth function and possibly a utility for origin. It feels important to inspect the less truncated parts that are relevant. I'm thinking this will give me a better understanding of how everything is connected. Alright, let's dive in and make sure I can access those components properly!"}}
{"timestamp":"2026-03-13T21:40:41.192Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Inspecting auth.ts details**\n\nI need to gather the full content of auth.ts, especially focusing on the startCliAuth function and possibly a utility for origin. It feels important to inspect the less truncated parts that are relevant. I'm thinking this will give me a better understanding of how everything is connected. Alright, let's dive in and make sure I can access those components properly!"}],"content":null,"encrypted_content":"gAAAAABptIRZCRogpDwZox7lNEFnG4oqwpODh6mMZgl02jozDiqRFqjjaH-l-sz9r677eAhccVCM6bQ-lpOSJ4BUVUAV-RbXUbqgLAfb8XlQtdSDK7_NNpRYaiSaGPUjgJAEbjyVbNhLv78DBMNGtCYA9xink-uxYYxEGsr2ZL_3q1VUV2zf9mPhPdoLzFm-nZAvRBZRaHy6TFZ1KEZgDU7ZJwGjDYWsqKKpJrscfD8_3yG6WTfyXNVlJWrtqqjQc72XMGHD05oL-hO8J1aFQDEfOd0_P-dMxekQJ-g-wFpbAhu-Hj-RiTGAHOVOMpt8cjC5P25FsN6jk9-7O81rdxHrNWJxUk_gX5UETrk0k-VFmpVptyt25Y5SFeMWveSXu77Rdv1ddnHbRDOiPIcLfwlpouCLQDrEDnt4AcV6kdUT18-CGXu1kFLY1u3hPxbt-iaIvEGWBNkJVemTEF4P39_YLQs-90Phe-sEmnrL-nU_urSGU1icrebDBrAVHnv2RJhYBaopxSzmAGU69absYF-MWXCr00tSmyjqva7kib6QqV_mtAH3mLwJu5jGXQ85OT2Hc2gSIMu5185K6EDiLV554MTt5ReW_Q_HhP4asEGlmknIHr71YhkVvT9rb6MXUwCoJ-fnwBztON6YPMY478y16OqvTPZrNrwNuQK8CDoHA6K_qqZvjCn_YSifrAJReLd_Kp5NdKh9rWZ8LUaMFmaLWEtbILpRxC4G-s1oSvKLwY0pri_X-GajjZeF-sd9BBpkwh_7fTq7f7tjFxmd0w4GxRtFRhjrUrDpf-GZd3G7u7Svnn72oYqvV6Ci8f6Y3jPM-8V9nfmWxWe_7Q59qGNBsaS5WZRXuBxZdIG7_ntOuQnNuIPO4_cO2gPKlAmmdMN0HK-e3W0geyoHHQyORbFNO8e1RPpdaqMfmiF1NQUzl70WVoYeC814dM0eSwxLnnoKRj2Hro4XQ5PFwG0iOqM97_dVrQflTsnOUs3AoQxD67FnGcpFRVc="}}
{"timestamp":"2026-03-13T21:40:41.514Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"sed -n '1,240p' apps/web/lib/auth.ts\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_wmfVLu3I1QTWba2E5vWMOZv4"}}
{"timestamp":"2026-03-13T21:40:41.525Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":59450,"cached_input_tokens":50560,"output_tokens":686,"reasoning_output_tokens":184,"total_tokens":60136},"last_token_usage":{"input_tokens":13482,"cached_input_tokens":10240,"output_tokens":85,"reasoning_output_tokens":25,"total_tokens":13567},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:41.534Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_wmfVLu3I1QTWba2E5vWMOZv4","output":"{\"output\":\"import crypto from \\\"node:crypto\\\";\\n\\nimport type { ApiTokenRecord, CliAuthRequestRecord } from \\\"./store\\\";\\nimport { readState, writeState } from \\\"./store\\\";\\n\\nconst USER_CODE_ALPHABET = \\\"ABCDEFGHJKLMNPQRSTUVWXYZ23456789\\\";\\nconst USER_CODE_LENGTH = 8;\\nconst AUTH_REQUEST_TTL_MS = 10 * 60 * 1000;\\nconst ACCESS_TOKEN_TTL_MS = 30 * 24 * 60 * 60 * 1000;\\nconst POLL_INTERVAL_SECONDS = 2;\\n\\ntype StoredState = Awaited<ReturnType<typeof readState>>;\\n\\nexport type StartCliAuthInput = {\\n  origin: string;\\n  mode: \\\"browser\\\" | \\\"device\\\";\\n  hostname?: string | null;\\n  cwd?: string | null;\\n  platform?: string | null;\\n};\\n\\nexport type StartCliAuthResult = {\\n  requestId: string;\\n  userCode: string;\\n  expiresAt: string;\\n  intervalSeconds: number;\\n  verificationUri: string;\\n  verificationUriComplete: string;\\n};\\n\\nexport type PollCliAuthResult =\\n  | {\\n      status: \\\"authorization_pending\\\";\\n      intervalSeconds: number;\\n      expiresAt: string;\\n    }\\n  | {\\n      status: \\\"authorized\\\";\\n      intervalSeconds: number;\\n      accessToken: string;\\n      expiresAt: string | null;\\n      label: string;\\n    }\\n  | {\\n      status: \\\"expired_token\\\";\\n      intervalSeconds: number;\\n    }\\n  | {\\n      status: \\\"invalid_request\\\";\\n      intervalSeconds: number;\\n    };\\n\\nfunction nowIso(): string {\\n  return new Date().toISOString();\\n}\\n\\nfunction normalizeOrigin(origin: string): string {\\n  return origin.replace(/\\\\/$/, \\\"\\\");\\n}\\n\\nfunction normalizeUserCode(userCode: string | null | undefined): string | null {\\n  if (!userCode) {\\n    return null;\\n  }\\n\\n  const compact = userCode.toUpperCase().replace(/[^A-Z0-9]/g, \\\"\\\");\\n  if (compact.length !== USER_CODE_LENGTH) {\\n    return null;\\n  }\\n\\n  return `${compact.slice(0, 4)}-${compact.slice(4)}`;\\n}\\n\\nfunction generateUserCode(): string {\\n  let value = \\\"\\\";\\n  for (let index = 0; index < USER_CODE_LENGTH; index += 1) {\\n    const randomIndex = crypto.randomInt(0, USER_CODE_ALPHABET.length);\\n    value += USER_CODE_ALPHABET[randomIndex];\\n  }\\n\\n  return `${value.slice(0, 4)}-${value.slice(4)}`;\\n}\\n\\nfunction hashToken(token: string): string {\\n  return crypto.createHash(\\\"sha256\\\").update(token).digest(\\\"hex\\\");\\n}\\n\\nfunction issueAccessToken(): string {\\n  return `cs_${crypto.randomBytes(24).toString(\\\"base64url\\\")}`;\\n}\\n\\nfunction cleanupExpiredState(state: StoredState): boolean {\\n  let changed = false;\\n  const now = Date.now();\\n\\n  for (const request of Object.values(state.cliAuthRequests)) {\\n    if (request.status !== \\\"expired\\\" && Date.parse(request.expiresAt) <= now) {\\n      request.status = \\\"expired\\\";\\n      request.accessToken = null;\\n      changed = true;\\n    }\\n  }\\n\\n  for (const [tokenId, token] of Object.entries(state.apiTokens)) {\\n    if (token.expiresAt && Date.parse(token.expiresAt) <= now) {\\n      delete state.apiTokens[tokenId];\\n      changed = true;\\n    }\\n  }\\n\\n  return changed;\\n}\\n\\nasync function readStateWithCleanup(): Promise<StoredState> {\\n  const state = await readState();\\n  if (cleanupExpiredState(state)) {\\n    await writeState(state);\\n  }\\n\\n  return state;\\n}\\n\\nfunction findAuthRequest(\\n  state: StoredState,\\n  requestId?: string | null,\\n  userCode?: string | null,\\n): CliAuthRequestRecord | null {\\n  const normalizedUserCode = normalizeUserCode(userCode);\\n\\n  if (requestId) {\\n    const direct = state.cliAuthRequests[requestId] ?? null;\\n    if (!direct) {\\n      return null;\\n    }\\n\\n    if (normalizedUserCode && direct.userCode !== normalizedUserCode) {\\n      return null;\\n    }\\n\\n    return direct;\\n  }\\n\\n  if (!normalizedUserCode) {\\n    return null;\\n  }\\n\\n  return (\\n    Object.values(state.cliAuthRequests).find((request) => request.userCode === normalizedUserCode) ??\\n    null\\n  );\\n}\\n\\nexport async function startCliAuth(input: StartCliAuthInput): Promise<StartCliAuthResult> {\\n  const state = await readStateWithCleanup();\\n  const requestId = crypto.randomUUID();\\n  let userCode = generateUserCode();\\n  while (Object.values(state.cliAuthRequests).some((request) => request.userCode === userCode)) {\\n    userCode = generateUserCode();\\n  }\\n\\n  const createdAt = nowIso();\\n  const expiresAt = new Date(Date.now() + AUTH_REQUEST_TTL_MS).toISOString();\\n  const request: CliAuthRequestRecord = {\\n    requestId,\\n    userCode,\\n    mode: input.mode,\\n    status: \\\"pending\\\",\\n    createdAt,\\n    expiresAt,\\n    approvedAt: null,\\n    tokenId: null,\\n    accessToken: null,\\n    requestedBy: {\\n      hostname: input.hostname?.trim() || null,\\n      cwd: input.cwd?.trim() || null,\\n      platform: input.platform?.trim() || null,\\n    },\\n  };\\n\\n  state.cliAuthRequests[requestId] = request;\\n  await writeState(state);\\n\\n  const verificationUri = `${normalizeOrigin(input.origin)}/cli-auth`;\\n  const verificationUriComplete =\\n    `${verificationUri}?request=${encodeURIComponent(requestId)}&code=${encodeURIComponent(userCode)}`;\\n\\n  return {\\n    requestId,\\n    userCode,\\n    expiresAt,\\n    intervalSeconds: POLL_INTERVAL_SECONDS,\\n    verificationUri,\\n    verificationUriComplete,\\n  };\\n}\\n\\nexport async function resolveCliAuthRequest(input: {\\n  requestId?: string | null;\\n  userCode?: string | null;\\n}): Promise<CliAuthRequestRecord | null> {\\n  const state = await readStateWithCleanup();\\n  return findAuthRequest(state, input.requestId, input.userCode);\\n}\\n\\nexport async function approveCliAuthRequest(input: {\\n  requestId?: string | null;\\n  userCode?: string | null;\\n}): Promise<\\n  | {\\n      ok: true;\\n      request: CliAuthRequestRecord;\\n    }\\n  | {\\n      ok: false;\\n      error: \\\"invalid_request\\\" | \\\"expired_token\\\";\\n    }\\n> {\\n  const state = await readStateWithCleanup();\\n  const request = findAuthRequest(state, input.requestId, input.userCode);\\n\\n  if (!request) {\\n    return { ok: false, error: \\\"invalid_request\\\" };\\n  }\\n\\n  if (request.status === \\\"expired\\\") {\\n    return { ok: false, error: \\\"expired_token\\\" };\\n  }\\n\\n  if (request.status === \\\"approved\\\") {\\n    return { ok: true, request };\\n  }\\n\\n  const accessToken = issueAccessToken();\\n  const tokenId = crypto.randomUUID();\\n  const token: ApiTokenRecord = {\\n    tokenId,\\n    label: request.requestedBy.hostname\\n      ? `CLI login for ${request.requestedBy.hostname}`\\n      : \\\"CLI login\\\",\\n    tokenHash: hashToken(accessToken),\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:40:41.537Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:40:41.966Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":59450,"cached_input_tokens":50560,"output_tokens":686,"reasoning_output_tokens":184,"total_tokens":60136},"last_token_usage":{"input_tokens":13482,"cached_input_tokens":10240,"output_tokens":85,"reasoning_output_tokens":25,"total_tokens":13567},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:43.342Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"sed -n '240,340p' apps/web/lib/auth.ts\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_Rpz4RvK4y6f3zIdnVRDJlRu4"}}
{"timestamp":"2026-03-13T21:40:43.350Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":74862,"cached_input_tokens":64000,"output_tokens":744,"reasoning_output_tokens":184,"total_tokens":75606},"last_token_usage":{"input_tokens":15412,"cached_input_tokens":13440,"output_tokens":58,"reasoning_output_tokens":0,"total_tokens":15470},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:43.362Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_Rpz4RvK4y6f3zIdnVRDJlRu4","output":"{\"output\":\"    tokenHash: hashToken(accessToken),\\n    createdAt: nowIso(),\\n    expiresAt: new Date(Date.now() + ACCESS_TOKEN_TTL_MS).toISOString(),\\n    lastUsedAt: null,\\n    source: request.mode === \\\"device\\\" ? \\\"cli_device\\\" : \\\"cli_browser\\\",\\n    requestId: request.requestId,\\n  };\\n\\n  state.apiTokens[tokenId] = token;\\n  request.status = \\\"approved\\\";\\n  request.approvedAt = nowIso();\\n  request.tokenId = tokenId;\\n  request.accessToken = accessToken;\\n  await writeState(state);\\n\\n  return { ok: true, request };\\n}\\n\\nexport async function pollCliAuthRequest(requestId: string): Promise<PollCliAuthResult> {\\n  const state = await readStateWithCleanup();\\n  const request = findAuthRequest(state, requestId, null);\\n\\n  if (!request) {\\n    return {\\n      status: \\\"invalid_request\\\",\\n      intervalSeconds: POLL_INTERVAL_SECONDS,\\n    };\\n  }\\n\\n  if (request.status === \\\"expired\\\") {\\n    return {\\n      status: \\\"expired_token\\\",\\n      intervalSeconds: POLL_INTERVAL_SECONDS,\\n    };\\n  }\\n\\n  if (request.status !== \\\"approved\\\" || !request.tokenId || !request.accessToken) {\\n    return {\\n      status: \\\"authorization_pending\\\",\\n      intervalSeconds: POLL_INTERVAL_SECONDS,\\n      expiresAt: request.expiresAt,\\n    };\\n  }\\n\\n  const token = state.apiTokens[request.tokenId];\\n  if (!token) {\\n    request.status = \\\"expired\\\";\\n    request.accessToken = null;\\n    await writeState(state);\\n    return {\\n      status: \\\"expired_token\\\",\\n      intervalSeconds: POLL_INTERVAL_SECONDS,\\n    };\\n  }\\n\\n  return {\\n    status: \\\"authorized\\\",\\n    intervalSeconds: POLL_INTERVAL_SECONDS,\\n    accessToken: request.accessToken,\\n    expiresAt: token.expiresAt,\\n    label: token.label,\\n  };\\n}\\n\\nexport async function authenticateCliApiToken(token: string | null): Promise<ApiTokenRecord | null> {\\n  if (!token) {\\n    return null;\\n  }\\n\\n  const state = await readStateWithCleanup();\\n  const tokenHash = hashToken(token);\\n  const record =\\n    Object.values(state.apiTokens).find((candidate) => candidate.tokenHash === tokenHash) ?? null;\\n\\n  if (!record) {\\n    return null;\\n  }\\n\\n  record.lastUsedAt = nowIso();\\n  await writeState(state);\\n  return record;\\n}\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:40:43.366Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:40:43.993Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":74862,"cached_input_tokens":64000,"output_tokens":744,"reasoning_output_tokens":184,"total_tokens":75606},"last_token_usage":{"input_tokens":15412,"cached_input_tokens":13440,"output_tokens":58,"reasoning_output_tokens":0,"total_tokens":15470},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:46.518Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Figuring out app origin**\n\nI need to determine how to get the public app origin when it's behind a reverse proxy. To do this, I think I should search for utilities that can help derive the origin from other routes. Maybe looking into the headers like x-forwarded-host or x-forwarded-proto could work. I might also check the environment variable APP_URL for more insights. Let’s see if this path leads to a solution!"}}
{"timestamp":"2026-03-13T21:40:46.518Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Figuring out app origin**\n\nI need to determine how to get the public app origin when it's behind a reverse proxy. To do this, I think I should search for utilities that can help derive the origin from other routes. Maybe looking into the headers like x-forwarded-host or x-forwarded-proto could work. I might also check the environment variable APP_URL for more insights. Let’s see if this path leads to a solution!"}],"content":null,"encrypted_content":"gAAAAABptIRe8dupiZlCY5PsZnoO4rmtemLkLnkmCoPGqT93WX6s7ygArlKtKFmAC6z-hHGnBq_UA0d9RqvS5zK55e6amOVq0iJkHvIW47dA_qBCTdsAUCUuSgFi-DrClXaxvZAMmXGwykmuaGU-dvsA5IppG3FPNs4FcEBG1FopDuJr6jUY3zyESTJMFodLHmhonEyv5gS-DDyzJkQ_Rl_DlIZLTJt8uZ8M0Kxp6HuymAH4auS3DoNO7miXWiYCo7hz3wc8_dZzqcyFqS_mQj2qDy0pEKCNRFTFud8057ao0lmz2yWFqVuTVjbgnEwN75Mx8Xg7y_hsQLz808LQUNBGUr5T7Uxw5isQZHbnCn6CUxYTtRn8mJrvAvlnq3OF1oV6OmEfaN3TWdDP4sTvGozbAB3unJUCqYg69xbuz24kzEpUgomZ25Q6A7nV1KCuxySYbDMj_l-l5GL1DY2D4D1zFFEmrxAW4rKVEL0lvZgzChwn1FhLHQLBXqYJrcanYr6rOt9GZNdOyoFPp16FjyJfkuX1rSe0jXIRFTXiIps2IuT4ikcBcRHEuYSCFKOxeUIdt-oc6D8SED1PZaTZVI5Jih265OEwgxFgCWq7vOpsfi9OF17YLWne0He2E6wtd3ToXr1qD2iSmxlGJv5gpV6oXkjprfxFEUHaS58Wmc8orug5SGblOTyvPe13gKph30RV6S0xLNCaFabQF2UZ4wzA7PAXi2yXL6NcscXa2Hdo-hLK2iOKJ8Os5pYAEHLN0meuPNIJlEUEDOnMFAGiXeNZ5m18kHE9tQZ0RhP5vT7CDVopm4vK1X5G8zXwiRdgBv3Ryh5CGa5H7Y5-riG3Npc9i0WtrCfBIs6LMg1Yf91xjodruQ2e0szXl4UzdfkUqG-UlhU88xc9ecJlx7raFkSJxePyPl1UUnqmfghZBRTE9md-U4tko-o9G-YWkIUOFO8OAgaxrWtR8TwgnLQHD85v0nQytII16SCjN1N-1oxWhdL1HqAa7OGI_dTPFG-uCtZasds38063hgc0MMD89vNpzeY72VSThAF1tc06bvYkjObCcWlnXsw="}}
{"timestamp":"2026-03-13T21:40:46.549Z","type":"event_msg","payload":{"type":"agent_message","message":"I found the start route; now tracing how the app derives a public origin."}}
{"timestamp":"2026-03-13T21:40:46.549Z","type":"response_item","payload":{"type":"message","role":"assistant","content":[{"type":"output_text","text":"I found the start route; now tracing how the app derives a public origin."}]}}
{"timestamp":"2026-03-13T21:40:46.765Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"rg -n \\\"x-forwarded-host|x-forwarded-proto|host header|public origin|APP_URL|NEXT_PUBLIC_APP_URL|VERCEL_URL|origin\\\\)\\\" apps/web -S\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_h1OTgkPLI38V6XQ72E4yhXke"}}
{"timestamp":"2026-03-13T21:40:46.774Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":90963,"cached_input_tokens":79360,"output_tokens":892,"reasoning_output_tokens":222,"total_tokens":91855},"last_token_usage":{"input_tokens":16101,"cached_input_tokens":15360,"output_tokens":148,"reasoning_output_tokens":38,"total_tokens":16249},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:46.793Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_h1OTgkPLI38V6XQ72E4yhXke","output":"{\"output\":\"apps/web/lib/auth.ts:183:  const verificationUri = `${normalizeOrigin(input.origin)}/cli-auth`;\\napps/web/lib/github.test.ts:16:  process.env.NEXT_PUBLIC_APP_URL = \\\"http://localhost:3000\\\";\\napps/web/lib/github.test.ts:41:  delete process.env.NEXT_PUBLIC_APP_URL;\\napps/web/lib/github.test.ts:92:    delete process.env.NEXT_PUBLIC_APP_URL;\\napps/web/lib/github.ts:137:  const envBaseUrl = normalizeBaseUrl(process.env.NEXT_PUBLIC_APP_URL);\\napps/web/lib/github.ts:186:  const publicUrlReady = Boolean(normalizeBaseUrl(process.env.NEXT_PUBLIC_APP_URL) ?? normalizeBaseUrl(stored?.baseUrl));\\napps/web/app/integrations/github/bootstrap/page.tsx:20:  const host = headerStore.get(\\\"x-forwarded-host\\\") ?? headerStore.get(\\\"host\\\");\\napps/web/app/integrations/github/bootstrap/page.tsx:26:    headerStore.get(\\\"x-forwarded-proto\\\") ??\\napps/web/app/integrations/github/bootstrap/page.tsx:43:  const baseUrl = process.env.NEXT_PUBLIC_APP_URL ?? inferBaseUrl(headerStore);\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:40:46.793Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:40:47.167Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":90963,"cached_input_tokens":79360,"output_tokens":892,"reasoning_output_tokens":222,"total_tokens":91855},"last_token_usage":{"input_tokens":16101,"cached_input_tokens":15360,"output_tokens":148,"reasoning_output_tokens":38,"total_tokens":16249},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:50.312Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Considering page inference**\n\nI need to inspect the GitHub utility and see how the page inference works. It might be a good idea to use something similar for my task. By exploring this, I hope to understand better how to implement the functionality I need. There's a lot to consider, like the structure and design patterns used in those examples. I'll take notes on what I find useful and how I might adapt it to fit my purposes."}}
{"timestamp":"2026-03-13T21:40:50.312Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Considering page inference**\n\nI need to inspect the GitHub utility and see how the page inference works. It might be a good idea to use something similar for my task. By exploring this, I hope to understand better how to implement the functionality I need. There's a lot to consider, like the structure and design patterns used in those examples. I'll take notes on what I find useful and how I might adapt it to fit my purposes."}],"content":null,"encrypted_content":"gAAAAABptIRiX985E8sCaXuR_YkCLT4x9M0p05ktZaiqH3I78hkpjAEcaw5KkmEsFXQNRXlnImgkSG45biHyaWqItQO-mUo-WtGNRocUBqFE3KnfRn3h2MznDaq9lX8PopeGsuBNR1ioOT0nF0CDXP4BWEjbMaCxL406EfIeJuRnuMuPDsu4wFQcN1oo4Lsqi8iet9eMOUHwMKwRFZ-wtXevNm0vgvB_cYHVbABLf6OrokOHFXeafuct_U4E3JWbTtqXJQECXgtMLf6y4NgSYNCQ1IpmtqlJBrAHRQ-ryp_NMhWgsT61Hjone0WhzTtGb6s2u0Z2SdJrNwPBFfzkr8XwonvAufK2_CeIF1pv2q8JetsUnBM1z0qFstmE3xmSwhtoH1uZnsKAiru7o06G7kx-h-WPOHA5Lt2n46cf9nj5eSscWAv3Fvbaxqk-JvjRN0I6QmHWjxBps4DW0xuppVcM3VcdJKkl8bK51HyQaE80PNV0-KMd-mJn3Ml2YiK9DdrYFr1vKyIDSC_UqsQUZiuuXcSul3eg0t7RXL1phcamH-0h2Sb7gwJkg3DZlPTZYIJSxbGBnfq9Kpa5_K_a9XZ6CaCCRcrtplcZ3CjG4B7WzdVYqbgXSTyrus0lWUwJxkJ2SdSQd0vKBXAwbOd5zOx9bZ7iJ-25wVOAtIP09UFHSJ4WPv1Nau4boT8aHgBhkeCUBQEqZ2BdQE_AxVElPPNLLM82zB5gJ_loeNZOD3pEquijm6iZ1QLvTWkhxhLA5I-bikXq_8Oa_ywMi3toZkqtLAziNIlDNB5xkSpP-uf-s59lDtZClF4GsbK5Wg_FUAF3cfHxTyCofwnkP4Xr38eHZY8ibF7hwB9JZpt8IkzISoPl8f1wVQbeZga0yN5C7LBnLUaHSHS6a0Y4VPa0oIiAmfDr-egPtUEES_vdyqaloJvxfsxOkzI="}}
{"timestamp":"2026-03-13T21:40:50.487Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"sed -n '120,220p' apps/web/lib/github.ts && printf '\\\\n---\\\\n' && sed -n '1,120p' apps/web/app/integrations/github/bootstrap/page.tsx\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_IrHMM5pZ6o4xhChJ3QfvxWcp"}}
{"timestamp":"2026-03-13T21:40:50.493Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":107497,"cached_input_tokens":95488,"output_tokens":997,"reasoning_output_tokens":238,"total_tokens":108494},"last_token_usage":{"input_tokens":16534,"cached_input_tokens":16128,"output_tokens":105,"reasoning_output_tokens":16,"total_tokens":16639},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:50.513Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_IrHMM5pZ6o4xhChJ3QfvxWcp","output":"{\"output\":\"function base64UrlEncode(value: Buffer | string): string {\\n  const buffer = typeof value === \\\"string\\\" ? Buffer.from(value, \\\"utf-8\\\") : value;\\n  return buffer\\n    .toString(\\\"base64\\\")\\n    .replace(/\\\\+/g, \\\"-\\\")\\n    .replace(/\\\\//g, \\\"_\\\")\\n    .replace(/=+$/g, \\\"\\\");\\n}\\n\\nfunction normalizePrivateKey(privateKey: string): string {\\n  return privateKey.replace(/\\\\\\\\n/g, \\\"\\\\n\\\");\\n}\\n\\nasync function getOptionalGitHubAppConfig(): Promise<GitHubAppConfig | null> {\\n  const stored = await getStoredGitHubAppConfig();\\n  const envAppId = process.env.GITHUB_APP_ID;\\n  const envPrivateKey = process.env.GITHUB_APP_PRIVATE_KEY;\\n  const envBaseUrl = normalizeBaseUrl(process.env.NEXT_PUBLIC_APP_URL);\\n  const storedBaseUrl = normalizeBaseUrl(stored?.baseUrl);\\n  const baseUrl = envBaseUrl ?? storedBaseUrl ?? \\\"http://localhost:3000\\\";\\n\\n  if (envAppId && envPrivateKey) {\\n    return {\\n      appId: envAppId,\\n      privateKey: normalizePrivateKey(envPrivateKey),\\n      slug: process.env.GITHUB_APP_SLUG ?? stored?.slug ?? null,\\n      baseUrl,\\n      webhookSecret: process.env.GITHUB_WEBHOOK_SECRET ?? stored?.webhookSecret ?? null,\\n      name: stored?.name ?? null,\\n      htmlUrl: stored?.htmlUrl ?? null,\\n      source: \\\"env\\\",\\n    };\\n  }\\n\\n  if (!stored) {\\n    return null;\\n  }\\n\\n  return {\\n    appId: stored.appId,\\n    privateKey: normalizePrivateKey(stored.privateKey),\\n    slug: stored.slug,\\n    baseUrl,\\n    webhookSecret: process.env.GITHUB_WEBHOOK_SECRET ?? stored.webhookSecret,\\n    name: stored.name,\\n    htmlUrl: stored.htmlUrl,\\n    source: \\\"runtime\\\",\\n  };\\n}\\n\\nasync function getGitHubAppConfig(): Promise<GitHubAppConfig> {\\n  const config = await getOptionalGitHubAppConfig();\\n  if (!config) {\\n    throw new Error(\\\"GitHub App configuration is incomplete. Create the GitHub App or set runtime credentials.\\\");\\n  }\\n\\n  return config;\\n}\\n\\nexport async function getGitHubWebhookSecret(): Promise<string | null> {\\n  return process.env.GITHUB_WEBHOOK_SECRET ?? (await getStoredGitHubAppConfig())?.webhookSecret ?? null;\\n}\\n\\nexport async function getGitHubSetupState(): Promise<GitHubSetupState> {\\n  const stored = await getStoredGitHubAppConfig();\\n  const config = await getOptionalGitHubAppConfig();\\n  const publicUrlReady = Boolean(normalizeBaseUrl(process.env.NEXT_PUBLIC_APP_URL) ?? normalizeBaseUrl(stored?.baseUrl));\\n  const runtimeReady = Boolean(config?.appId && config?.privateKey);\\n  const webhookReady = Boolean(process.env.GITHUB_WEBHOOK_SECRET ?? stored?.webhookSecret ?? null);\\n  const missingRuntime = runtimeReady ? [] : [\\\"GitHub App credentials\\\"];\\n  const missingWebhook = webhookReady ? [] : [\\\"GitHub webhook secret\\\"];\\n  const missingPublic = publicUrlReady ? [] : [\\\"Public app URL\\\"];\\n\\n  return {\\n    source: config?.source ?? null,\\n    missingAdmin: uniqueValues([...missingRuntime, ...missingWebhook, ...missingPublic]),\\n    missingRuntime,\\n    missingWebhook,\\n    missingPublic,\\n    runtimeReady,\\n    webhookReady,\\n    publicUrlReady,\\n  };\\n}\\n\\nasync function fetchGitHubAppMetadata(): Promise<GitHubAppMetadataPayload | null> {\\n  if (!(await getOptionalGitHubAppConfig())) {\\n    return null;\\n  }\\n\\n  try {\\n    const response = await githubAppFetch(\\\"/app\\\");\\n    if (!response.ok) {\\n      return null;\\n    }\\n\\n    return (await response.json()) as GitHubAppMetadataPayload;\\n  } catch {\\n    return null;\\n  }\\n}\\n\\n---\\nimport { headers } from \\\"next/headers\\\";\\n\\nimport {\\n  beginGitHubAppManifestFlow,\\n  buildGitHubAppInstallUrl,\\n  getGitHubSetupState,\\n} from \\\"../../../../lib/github\\\";\\n\\nexport const dynamic = \\\"force-dynamic\\\";\\n\\nfunction firstParam(value: string | string[] | undefined): string | null {\\n  if (Array.isArray(value)) {\\n    return value[0] ?? null;\\n  }\\n\\n  return value ?? null;\\n}\\n\\nfunction inferBaseUrl(headerStore: Headers): string | null {\\n  const host = headerStore.get(\\\"x-forwarded-host\\\") ?? headerStore.get(\\\"host\\\");\\n  if (!host) {\\n    return null;\\n  }\\n\\n  const proto =\\n    headerStore.get(\\\"x-forwarded-proto\\\") ??\\n    (host.startsWith(\\\"localhost\\\") || host.startsWith(\\\"127.0.0.1\\\") ? \\\"http\\\" : \\\"https\\\");\\n  return `${proto}://${host}`;\\n}\\n\\nexport default async function GitHubBootstrapPage({\\n  searchParams,\\n}: {\\n  searchParams: Promise<Record<string, string | string[] | undefined>>;\\n}) {\\n  const params = await searchParams;\\n  const owner = firstParam(params.owner);\\n  const [headerStore, setupState, installUrl] = await Promise.all([\\n    headers(),\\n    getGitHubSetupState(),\\n    buildGitHubAppInstallUrl(),\\n  ]);\\n  const baseUrl = process.env.NEXT_PUBLIC_APP_URL ?? inferBaseUrl(headerStore);\\n\\n  let bootstrap = null;\\n  let error: string | null = null;\\n\\n  if (setupState.runtimeReady && installUrl) {\\n    error = null;\\n  } else if (!baseUrl) {\\n    error = \\\"CodexScope could not determine its public URL.\\\";\\n  } else {\\n    try {\\n      bootstrap = await beginGitHubAppManifestFlow({\\n        baseUrl,\\n        owner,\\n      });\\n    } catch (caughtError) {\\n      error = caughtError instanceof Error ? caughtError.message : \\\"Unknown GitHub App bootstrap error\\\";\\n    }\\n  }\\n\\n  const alreadyReady = setupState.runtimeReady && installUrl;\\n\\n  return (\\n    <main className=\\\"page github-page\\\">\\n      <section className=\\\"home-stage integration-stage\\\">\\n        <div className=\\\"home-stage-copy\\\">\\n          <p className=\\\"eyebrow\\\">GitHub App bootstrap</p>\\n          <h1>{alreadyReady ? \\\"GitHub App already exists.\\\" : \\\"Create the GitHub App without leaving the product.\\\"}</h1>\\n          <p className=\\\"lede\\\">\\n            {alreadyReady\\n              ? \\\"CodexScope already has its GitHub App identity. The next step is to install it on the source repo.\\\"\\n              : \\\"This is the only operator step. Create the app once, let GitHub hand the credentials back, and keep end users out of key-pasting.\\\"}\\n          </p>\\n          <div className=\\\"home-stage-actions\\\">\\n            {alreadyReady && installUrl ? (\\n              <a className=\\\"primary-link\\\" href={installUrl} target=\\\"_blank\\\" rel=\\\"noreferrer\\\">\\n                Install GitHub App\\n              </a>\\n            ) : bootstrap ? (\\n              <form action={bootstrap.actionUrl} method=\\\"post\\\">\\n                <input type=\\\"hidden\\\" name=\\\"manifest\\\" value={bootstrap.manifest} />\\n                <button className=\\\"primary-link\\\" type=\\\"submit\\\">\\n                  Create GitHub App in GitHub\\n                </button>\\n              </form>\\n            ) : (\\n              <a className=\\\"primary-link\\\" href=\\\"/integrations/github\\\">\\n                Back to GitHub setup\\n              </a>\\n            )}\\n            <a className=\\\"secondary-link\\\" href=\\\"/integrations/github\\\">\\n              Back to setup\\n            </a>\\n          </div>\\n        </div>\\n\\n        <article className=\\\"panel home-proof-board integration-proof-board\\\">\\n          <div className=\\\"home-proof-head\\\">\\n            <div>\\n              <p className=\\\"eyebrow\\\">Bootstrap state</p>\\n              <h2>{alreadyReady ? \\\"Runtime is configured\\\" : error ? \\\"Bootstrap blocked\\\" : \\\"Ready to create\\\"}</h2>\\n              <p className=\\\"lede-small\\\">\\n                {alreadyReady\\n                  ? \\\"The app identity and install handoff are already in place.\\\"\\n                  : error\\n                    ? error\\n                    : \\\"Open GitHub once, create the app, then let CodexScope finish the callback automatically.\\\"}\\n              </p>\\n            </div>\\n            <SetupBadge tone={alreadyReady ? \\\"ready\\\" : error ? \\\"warning\\\" : \\\"neutral\\\"} label={alreadyReady ? \\\"Ready\\\" : error ? \\\"Blocked\\\" : \\\"Bootstrap\\\"} />\\n          </div>\\n          <div className=\\\"home-proof-metrics\\\">\\n            <div>\\n              <span className=\\\"metric-label\\\">Base URL</span>\\n              <strong>{baseUrl ? \\\"ready\\\" : \\\"missing\\\"}</strong>\\n            </div>\\n            <div>\\n              <span className=\\\"metric-label\\\">Webhook</span>\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:40:50.517Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:40:51.130Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":107497,"cached_input_tokens":95488,"output_tokens":997,"reasoning_output_tokens":238,"total_tokens":108494},"last_token_usage":{"input_tokens":16534,"cached_input_tokens":16128,"output_tokens":105,"reasoning_output_tokens":16,"total_tokens":16639},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:55.006Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Evaluating routing changes**\n\nI see that minimal changes are needed for the routing setup. Right now, it uses new URL(request.url).origin, which might resolve to 0.0.0.0:3000 behind a reverse proxy or an internal address. I need to use the public app origin instead. It seems like I could use NEXT_PUBLIC_APP_URL or infer it from forwarded headers. Testing might be necessary, particularly route tests, so I’ll look into that framework for options."}}
{"timestamp":"2026-03-13T21:40:55.006Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Evaluating routing changes**\n\nI see that minimal changes are needed for the routing setup. Right now, it uses new URL(request.url).origin, which might resolve to 0.0.0.0:3000 behind a reverse proxy or an internal address. I need to use the public app origin instead. It seems like I could use NEXT_PUBLIC_APP_URL or infer it from forwarded headers. Testing might be necessary, particularly route tests, so I’ll look into that framework for options."}],"content":null,"encrypted_content":"gAAAAABptIRmFZqoy7Dy1YD2ewAgvsCTjX_v2W1mln9Vl9FgnD4VSy62_6wskl9wo_q_fJXX15tZh9J1BaLGTWunpiDSS6R2CblwRVMZothSnmajP1p1-JoVnyEo6eMIVCdzaKiUa5lOonISQr_R0uJRCeHmub2Ks5T1oNyx1Q5MkbKMPb1_-ahsVNzn6n9kauw4VIznQsZ4nvBKuK9tNUhDcREk5VLlGhRikZMb9GT7oaq7WF-lU42UuBBMhkwmlclqVry1g8yDm-D1kV2qKkxmkAIblEPDyhtUuNXMbwFXsa1In7sn_2CVZSiB9mjhpNyAx5DlBNM1SC3vPciEYA19nxd22jyQ-y9OEADkVSYZOEOFdA6ulCwlii6aZOeJ7WgeipwRyPcdlG8o5HtMrqKueTHQMiuhAErVOPXRPe58EwvWzswvicFMJwG05W4cMkwWl2UN5Yw9KnUCH7gOggfVHqpzw_raEc1zicF221pzEG1lZlLYiVp6lKb4gGvPtvEOHezaqUxV6ljTARnHJtF1A0GQshL50mY-L3YkIK_eYfCDKjqEK-w7yB0eSrpnPgh0MgHj2Xmtjz5v8WWBKfxC-fBriwJ_dN-4WkeYxy55eias4tg7UJVdyd9Q54TbyxYG2JNouJu-pISoowJOQREEKvdtNlMzs0Dv_ui_CknMSBLi84bbD4ofQfmE9DSqUrkoAHTDTS_cznYSGLtjd1XMFF9r8DTxwQz6pLqAo3ZNBhNbqnyfYprsdR0TyiwjHObbKSlMagCBWmmrbiNfm2Bc7dzNcygjydRt2VqxpnTCIUQBnVCVi_2D1mU4BvXTkTUhL20UFHVYHjcdt06NrnTzNEqRozhXnHz1cT0WUtFZtfTkfuvoDVAXw3umnV3ltAiRdpxyFeM7PJdFY8v4FSkEe9xZpCUl60Dq9NPxgRp1Ezi-kqR_9hWwTXeLJ5VPA8yEeeLEVAJHpAxSpTgM2cU71fOSOxx-5q66Xq-N6k5TiXPAs9fDIh36kxSwdudLbIJEAjF99UFPYy53vRbS8VcWiygVDz1G_UW4CoIxfgWOtwZUUSOXEuC0tXT_NAbW-E1Sz0BtvEM18PNgd7UY87PCN3nl42IliDVgMBhB58-ubnP2pkcx0V4RF55YZvi_TwielsMauONROWgsnXVtFRvM9DEn21wlZXOeGK-081NU76-jZ88S1WpUBCmkCF_Zcd8OT7H4scnFjTJvOV_CwPiEE6MGy5Wv6w=="}}
{"timestamp":"2026-03-13T21:40:55.206Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"rg -n \\\"api/auth/cli/start|inferBaseUrl|route\\\\.test|NextRequest|headers\\\\(\\\" apps/web -S\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_K8K8Q9WjcA5VP3UeikUCGPmE"}}
{"timestamp":"2026-03-13T21:40:55.231Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":126279,"cached_input_tokens":112000,"output_tokens":1141,"reasoning_output_tokens":308,"total_tokens":127420},"last_token_usage":{"input_tokens":18782,"cached_input_tokens":16512,"output_tokens":144,"reasoning_output_tokens":70,"total_tokens":18926},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:55.234Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_K8K8Q9WjcA5VP3UeikUCGPmE","output":"{\"output\":\"apps/web/app/integrations/github/bootstrap/page.tsx:19:function inferBaseUrl(headerStore: Headers): string | null {\\napps/web/app/integrations/github/bootstrap/page.tsx:39:    headers(),\\napps/web/app/integrations/github/bootstrap/page.tsx:43:  const baseUrl = process.env.NEXT_PUBLIC_APP_URL ?? inferBaseUrl(headerStore);\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:40:55.237Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:40:55.676Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":126279,"cached_input_tokens":112000,"output_tokens":1141,"reasoning_output_tokens":308,"total_tokens":127420},"last_token_usage":{"input_tokens":18782,"cached_input_tokens":16512,"output_tokens":144,"reasoning_output_tokens":70,"total_tokens":18926},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:58.524Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Looking into route tests**\n\nI realize there are no existing route tests, which means I'll need to add or update them. First, I need to understand the test runner and how it works in conjunction with the package scripts. Inspecting the package.json file will be essential to figure out how everything is set up. This step seems crucial for moving forward properly, so I’ll dive into that next!"}}
{"timestamp":"2026-03-13T21:40:58.524Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Looking into route tests**\n\nI realize there are no existing route tests, which means I'll need to add or update them. First, I need to understand the test runner and how it works in conjunction with the package scripts. Inspecting the package.json file will be essential to figure out how everything is set up. This step seems crucial for moving forward properly, so I’ll dive into that next!"}],"content":null,"encrypted_content":"gAAAAABptIRqie8xUxBS2DtVfPns_LAoi2txJL9mUnt8iaKfTRA_gGRpSSjra4jq72kv4lSecFG2e492IAOpSMuk9qKoNIZL1E_YEemdT-PtKbUhSwVWfos5OGToiuokxuNjX_hjaujNM9THYKbHpKH8Q8yWJfEEs4rP3aqI-s3O_7CJLG7fau7S7Jtz82I7P_IC9pf6y2_KkoZ1GSAlxHYF2xI-e9KR3WH7FZHbuJz8omdzGqGo1lm40XOIKSFh5dDyIfFmX3FDo6f259AJkxIzAEkLDE9bJnerve4bz42rIcRqaMq9MndwRI0p-N4dezXoXNoihuwjiHlTUpB4p_keUjkPKcOhOM7TDgt7USDfGzQ5mAWEIUoaQnenRXDZMZN0oYtSc3oRKJJYOMXfk2drO3rntqYuklz1lGV9Ub7xvaJ1ct6zek59aNASEbqdgFXmeZSkVZfLflbJ5YVX8ERX2YDVJ4yHAyIjPUwwMnEWFqNO5DDbc7ObdVMXtXMyktjIRpH3e8HHMRe82kZcsqeJV4bK4Ux1OcMOpF9OHCU2c1FapwCBjenVpeDRFE6Whcso93VGqwfAv5zlnEKpwJzXeoQB4u36o2-bZxnz1uEAFDrbG1EPbp0fq4JIfsXSXXCqQUSlxYj6nxDz-IOXgajULqDiFDET8twEljulVYTL9odnrYcXGGnGrll_x3W8r4rq57yalIeHDx5ZLTpBAPEK7G_SafD4s6NlfZA_Ipz3rZU5nkX5isYxuLwZHjY7nklcImPedzOXNyBBzxg6M3UeeNWGbNEiArKmOAsk3XdkFLpJyH3PlYfoViF8qtDYIT7W1ciVvRwg4OwA5NSMGVRpWEd7RI9FkPof1FWM9L8W3EeBfOJ4RYrGH-YnSoufiiItIPvi3prUOzPABK7rigdtR6UbKXrvjHZdCwMydJYHOC7tShDUfBG-AoSRusWuM6KuOHGE-6AptPbOu-E-bLatGAm6qstKgbqfhdF0BhxsqCXO6TjVuiE="}}
{"timestamp":"2026-03-13T21:40:58.704Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"cat package.json && printf '\\\\n---\\\\n' && cat apps/web/package.json && printf '\\\\n---\\\\n' && cat packages/cli/package.json\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_qfnwnfu4UFVwDoDc2qxGG8je"}}
{"timestamp":"2026-03-13T21:40:58.717Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":145313,"cached_input_tokens":130816,"output_tokens":1246,"reasoning_output_tokens":335,"total_tokens":146559},"last_token_usage":{"input_tokens":19034,"cached_input_tokens":18816,"output_tokens":105,"reasoning_output_tokens":27,"total_tokens":19139},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:40:58.730Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_qfnwnfu4UFVwDoDc2qxGG8je","output":"{\"output\":\"{\\n  \\\"name\\\": \\\"codexscope\\\",\\n  \\\"private\\\": true,\\n  \\\"packageManager\\\": \\\"[email protected]\\\",\\n  \\\"scripts\\\": {\\n    \\\"build\\\": \\\"pnpm -r build\\\",\\n    \\\"dev:web\\\": \\\"pnpm --filter @codexscope/web dev\\\",\\n    \\\"dev:cli\\\": \\\"pnpm --filter @codexscope/shared build && pnpm --filter @codexscope/cli dev\\\",\\n    \\\"dev:demo:web\\\": \\\"pnpm seed:demo && pnpm --filter @codexscope/web build && pnpm --filter @codexscope/web start\\\",\\n    \\\"seed:demo\\\": \\\"tsx scripts/seed-demo.ts\\\",\\n    \\\"test\\\": \\\"pnpm --filter @codexscope/shared build && pnpm -r test\\\",\\n    \\\"typecheck\\\": \\\"pnpm --filter @codexscope/shared build && pnpm -r typecheck\\\"\\n  },\\n  \\\"devDependencies\\\": {\\n    \\\"@types/node\\\": \\\"^24.1.0\\\",\\n    \\\"tsx\\\": \\\"^4.20.3\\\",\\n    \\\"typescript\\\": \\\"^5.8.3\\\",\\n    \\\"vitest\\\": \\\"^3.2.4\\\"\\n  }\\n}\\n\\n---\\n{\\n  \\\"name\\\": \\\"@codexscope/web\\\",\\n  \\\"version\\\": \\\"0.1.0\\\",\\n  \\\"private\\\": true,\\n  \\\"type\\\": \\\"module\\\",\\n  \\\"scripts\\\": {\\n    \\\"dev\\\": \\\"node ../../scripts/reset-next-output.mjs .next && next dev\\\",\\n    \\\"build\\\": \\\"node ../../scripts/reset-next-output.mjs .next && next build\\\",\\n    \\\"start\\\": \\\"next start\\\",\\n    \\\"test\\\": \\\"vitest run\\\",\\n    \\\"typecheck\\\": \\\"node ../../scripts/reset-next-output.mjs .next && next build\\\"\\n  },\\n  \\\"dependencies\\\": {\\n    \\\"@codexscope/shared\\\": \\\"workspace:*\\\",\\n    \\\"next\\\": \\\"^15.3.0\\\",\\n    \\\"react-markdown\\\": \\\"^10.1.0\\\",\\n    \\\"react\\\": \\\"^19.0.0\\\",\\n    \\\"react-dom\\\": \\\"^19.0.0\\\",\\n    \\\"rehype-raw\\\": \\\"^7.0.0\\\",\\n    \\\"rehype-sanitize\\\": \\\"^6.0.0\\\",\\n    \\\"remark-gfm\\\": \\\"^4.0.1\\\"\\n  },\\n  \\\"devDependencies\\\": {\\n    \\\"@types/react\\\": \\\"^19.1.8\\\",\\n    \\\"@types/react-dom\\\": \\\"^19.1.6\\\"\\n  }\\n}\\n\\n---\\n{\\n  \\\"name\\\": \\\"@codexscope/cli\\\",\\n  \\\"version\\\": \\\"0.1.0\\\",\\n  \\\"private\\\": true,\\n  \\\"type\\\": \\\"module\\\",\\n  \\\"bin\\\": {\\n    \\\"codexscope\\\": \\\"dist/index.js\\\"\\n  },\\n  \\\"scripts\\\": {\\n    \\\"build\\\": \\\"node ../../scripts/reset-next-output.mjs dist && tsc -p tsconfig.json\\\",\\n    \\\"dev\\\": \\\"tsx src/index.ts\\\",\\n    \\\"test\\\": \\\"vitest run\\\",\\n    \\\"typecheck\\\": \\\"tsc -p tsconfig.json --noEmit\\\"\\n  },\\n  \\\"dependencies\\\": {\\n    \\\"@codexscope/shared\\\": \\\"workspace:*\\\"\\n  }\\n}\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:40:58.733Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:40:59.493Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":145313,"cached_input_tokens":130816,"output_tokens":1246,"reasoning_output_tokens":335,"total_tokens":146559},"last_token_usage":{"input_tokens":19034,"cached_input_tokens":18816,"output_tokens":105,"reasoning_output_tokens":27,"total_tokens":19139},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:41:02.051Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"I think I might need to explore the idea of a shared utility. I'll search for `normalizeBaseUrl` in `github.ts` to see if it can be reused, provided it's exported. It could save me time and effort! My next step is to inspect the top of `github.ts` to understand its structure and determine if that function is indeed available for reuse. It seems like a smart way forward. Let’s see what I can find!"}}
{"timestamp":"2026-03-13T21:41:02.051Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"I think I might need to explore the idea of a shared utility. I'll search for `normalizeBaseUrl` in `github.ts` to see if it can be reused, provided it's exported. It could save me time and effort! My next step is to inspect the top of `github.ts` to understand its structure and determine if that function is indeed available for reuse. It seems like a smart way forward. Let’s see what I can find!"}],"content":null,"encrypted_content":"gAAAAABptIRuMPIQJcRkgB0yLKKy8R70zgc4Kma-3OymTkC2UhqImDlmgMt6EIFAjyQ7t2R4m3-4NQY3Kh2wyY5hJKz8KIp0EfBXOxbBUfwwO3lvyXvAx72zxUmlcv3Q9H4P-LLz-VaXaDXQhmHxO5m1kzBZx41DCSwlCM-WKJrg5dqBcBa_GFhAS5jBmWXAseGQ-ciWO5QhBh2ummxPUksVDyDtGVGidfhgon0D7Js4a5TpXt9qvfj5zVQSiNUdIkq39p1CYnhYY25mLQjSPvzaAxug42SW7dBBandXXk_s_-Yc19PzxN7GmQrqC5vBYqmdXpxuR2zXq0WSyyUtYX46xIjGtRg6om7Q0gyGndT09UuCeuAdUIFG98kHd-RzKN5tuK5HxwtdAzdZBMBuPRvu_oDK0Sgkkju_CcxE_Ry9yfunkU5rZMYZcDmiG_wvaP6f26IQ1EEqT3W3m2F4dnWABEFLykZ5y9m-l0B3FeoIg1-MB__MLMdpsTtPs30I_4FixDL7tMhDenrcSsPAkMdEjO7hhiIk2-4b2C-Hp5gs2PbcXBojy3_HG6xhBLE9Y6ZFYZchWYGbJalweJDz-rBrOuClEVBbBZnGCzxA4FS1ZiMY_50zeBtGKCQxTwZZtuqTcyFd16piZw6qt5NZMbOBl4wFK9Y8WvhjptQTvKTu9-Z8kTZouCfkhZiPSo7mPm2mMInePCAq1ZyQu2L2Bu02Mc4lvBZkESE4ND8mL5svmaUtPkRpbJY6nfXSi8MkLSTrpFPOVUhJ-r_ZrgtPxKc7WK6r_c5GvrK1AZVEf03d9xB-E2-oBFufVA-jvPQ9YwWaHwrhKEk0n4eoZhLXI5T8o1AQcbxtPuInQ4ndxkzXz_BocwWcfB3mDihbPIo4F9T6Yvi0_3nyeR_CPwO17kHgXbtrUxIkWhMBtZz05arUDyFQMlLpV-rtKLR1y0E3YALP8eQCtvZtzJgOskHMr6QndIyftvG2u3ejdO3iRvpZjIRgfQbBW3M="}}
{"timestamp":"2026-03-13T21:41:02.213Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"sed -n '1,120p' apps/web/lib/github.ts\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_xstHr6KLOaHCzkeH54gB1FNH"}}
{"timestamp":"2026-03-13T21:41:02.220Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":165221,"cached_input_tokens":149760,"output_tokens":1334,"reasoning_output_tokens":363,"total_tokens":166555},"last_token_usage":{"input_tokens":19908,"cached_input_tokens":18944,"output_tokens":88,"reasoning_output_tokens":28,"total_tokens":19996},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:41:02.233Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_xstHr6KLOaHCzkeH54gB1FNH","output":"{\"output\":\"import crypto from \\\"node:crypto\\\";\\n\\nimport type { InstallationRecord, ReplayRecord } from \\\"@codexscope/shared\\\";\\n\\nimport { buildGitHubSummaryMarkdown } from \\\"./domain\\\";\\nimport {\\n  deleteGitHubAppManifestRequest,\\n  getGitHubAppConfig as getStoredGitHubAppConfig,\\n  getGitHubAppManifestRequest,\\n  getInstallation,\\n  getInstallationByRepo,\\n  pruneExpiredGitHubAppManifestRequests,\\n  putGitHubAppConfig,\\n  putGitHubAppManifestRequest,\\n  putInstallation,\\n  removeInstallation,\\n} from \\\"./store\\\";\\n\\ntype GitHubRepoPayload = {\\n  id: number;\\n  name: string;\\n  full_name: string;\\n  html_url: string;\\n  private: boolean;\\n  owner?: {\\n    login?: string;\\n  };\\n};\\n\\ntype GitHubInstallationPayload = {\\n  id: number;\\n  account?: {\\n    login?: string;\\n    type?: string;\\n  };\\n};\\n\\ntype GitHubAppConfig = {\\n  appId: string;\\n  privateKey: string;\\n  slug: string | null;\\n  baseUrl: string;\\n  webhookSecret: string | null;\\n  name: string | null;\\n  htmlUrl: string | null;\\n  source: \\\"env\\\" | \\\"runtime\\\";\\n};\\n\\ntype GitHubAppMetadataPayload = {\\n  slug?: string;\\n  name?: string;\\n  html_url?: string;\\n};\\n\\ntype GitHubManifestConversionPayload = {\\n  id?: number | string;\\n  slug?: string;\\n  html_url?: string;\\n  name?: string;\\n  pem?: string;\\n  webhook_secret?: string;\\n  client_id?: string;\\n  client_secret?: string;\\n};\\n\\ntype InstallationToken = {\\n  token: string;\\n  expiresAt: number;\\n};\\n\\nexport type GitHubSetupState = {\\n  source: \\\"env\\\" | \\\"runtime\\\" | null;\\n  missingAdmin: string[];\\n  missingRuntime: string[];\\n  missingWebhook: string[];\\n  missingPublic: string[];\\n  runtimeReady: boolean;\\n  webhookReady: boolean;\\n  publicUrlReady: boolean;\\n};\\n\\nexport type GitHubManifestStartResult = {\\n  actionUrl: string;\\n  manifest: string;\\n  owner: string | null;\\n  state: string;\\n};\\n\\nexport type GitHubManifestCompletionResult = {\\n  appId: string;\\n  installUrl: string | null;\\n  htmlUrl: string | null;\\n  name: string | null;\\n  slug: string | null;\\n};\\n\\nconst tokenCache = new Map<number, InstallationToken>();\\n\\nexport function verifyGitHubSignature(rawBody: string, signature: string | null, secret: string): boolean {\\n  if (!signature) {\\n    return false;\\n  }\\n\\n  const hash = crypto.createHmac(\\\"sha256\\\", secret).update(rawBody).digest(\\\"hex\\\");\\n  return signature === `sha256=${hash}`;\\n}\\n\\nfunction uniqueValues(values: ReadonlyArray<string>): string[] {\\n  return [...new Set(values)];\\n}\\n\\nfunction normalizeBaseUrl(value: string | null | undefined): string | null {\\n  if (!value) {\\n    return null;\\n  }\\n\\n  return value.replace(/\\\\/+$/, \\\"\\\");\\n}\\n\\nfunction base64UrlEncode(value: Buffer | string): string {\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:41:02.236Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:41:02.763Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":165221,"cached_input_tokens":149760,"output_tokens":1334,"reasoning_output_tokens":363,"total_tokens":166555},"last_token_usage":{"input_tokens":19908,"cached_input_tokens":18944,"output_tokens":88,"reasoning_output_tokens":28,"total_tokens":19996},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:41:14.697Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"I’m considering making a call to `POST`, but it looks like the route relies on lib/auth's startCliAuth. Since it’s tied to the authentication process, I’ll need to keep state management in mind. It’s important to pay attention to how everything is connected here, especially as I work through this task. I want to ensure that everything flows smoothly, so I'll keep reviewing my approach to make sure it aligns appropriately with the requirements."}}
{"timestamp":"2026-03-13T21:41:14.698Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Inspecting store setup**\n\nI need to inspect the store to set the environment. It seems likely that I'm following a consistent pattern here. My next step is to check if I can read or write in the data directory. This will help me confirm everything is functioning as expected. I'll take a closer look at how it's set up to ensure I can proceed smoothly. It’s important to get this right!"}}
{"timestamp":"2026-03-13T21:41:14.698Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"I’m considering making a call to `POST`, but it looks like the route relies on lib/auth's startCliAuth. Since it’s tied to the authentication process, I’ll need to keep state management in mind. It’s important to pay attention to how everything is connected here, especially as I work through this task. I want to ensure that everything flows smoothly, so I'll keep reviewing my approach to make sure it aligns appropriately with the requirements."},{"type":"summary_text","text":"**Inspecting store setup**\n\nI need to inspect the store to set the environment. It seems likely that I'm following a consistent pattern here. My next step is to check if I can read or write in the data directory. This will help me confirm everything is functioning as expected. I'll take a closer look at how it's set up to ensure I can proceed smoothly. It’s important to get this right!"}],"content":null,"encrypted_content":"gAAAAABptIR6hGahdKP5d0hVTWRo4qkPcfKpZwmBM1fvU8ASCbhqr5WULOX5jl57DdSdl_FOcWoJJyTH9NVLGGE6nfYk-upOD8FnrYeZydtbDZPQmfjXMs4wiI9zWY_DkKj_SkRB5pm1xXKQez6ZfqLc67LNIIy5nPirknKbLBWK3w4RDtblv137aktXehBZ7uqz7yt_8JB1RnpAm4ockHv5kE8BWVBk3lhxi3DgkPoKAUoPsCwiFkoQJungoXOrZ9gKGmV8wEl7qg5Ib3aG_sQoFUypTDBv8vRObEbqyKnpiXxuNgiiTDBEgYnNRiC8XiM_TwNTKV-8sKUjQafC2DTt6iOEiCR8ONb9b9g8PXCMJNG3PLUlTrOlvYnOscwUGl5biJLzhtNFvTnDuBdYGgx6ODNjQgQhKTzrRfGuI_vj5BwC1BVIS98z_WRc9TxAXzq_RjU94ta0Qu7tLiYLpnjkfe8JBdAS1oaG3_DF21f3yvtGO6mCXVSy-kBOi00HXj37IcDaJIsda3YMN7wHSnoCAdjA92FBjr8f8qOai5WBDFIoq9PsgVn5paRy8uKhR3kBONBVAmQ4xZdJwxltFGdfSrJ4xx4nkMVSAi_NRT0ygKAsmcbQrKsPF-NsC3oFxUr3Nqb8PlPLvpqQ1X2tgjAfqhAKEY1WxpkojqasyFcjBYAohd9fic5SQQufrX9DWL_LohainM557OClN4KxG4gxERCyCCExtGRzSFwqTzkMY4AN2U5XgSCh1tS-pwVatg6IaspugtXVjAuOX3wMR93ZsPucjjRtTroP_bSZ21_jjOWSjL3A2aDwfiFoKIHN9WrW3JEaF1A1eebInw7DXPB1fvp10Ewzhiv2oouzreueghC7Kaii46-J76hNfeHLOjVL1Cgv1dltDblBXNa5X1bD6VLVKbZPb6LuK1saAJr-KV_l0__U_mN3Oa8rFhv_tSWt9Z1DUzXhD9KlKC2ybzqDuJGVWALI2suL2QEF_wnkFAN7t5zpT96ZbyAZrrApiRN9hBuFfxbilPRGjChnEE4UHDnGzrVPT_7jpOE-mDz6I9EPrbzAd7NO7sr1I9X-ckSC_EJP8MberXtmcuFK_AxQgtmLMdV53ddWPz056TLIvYmn34By1AG6S5HyDoAUzYHW5AQs3pQ44Wgoki1sLJp5BfVJNboIW8kfJKn_VRsmckkrFuWlrWsWUShZ3dHloTHQxNenCDFNDWbjIN0yVNwcqhtlY1t__fVVJkhLCBsMHzTrnwfTh7XEL1aAIudAeRz3LzD4KGN6yMOWbCvWtrsJuoHbMLW7woKE_RsMhJ3Ap7zzyHUZvqU3bftCRX2GVW4xmDt8ZSvaMWf5myOzEUysUeuonSpeaK6eGh1g7krdQT72B8xW6btkp7v9_7zX-JuddaOUg_XE3y0NgU-GB68WpxAy97D_pwqobwVQz3qyUqBj7Cj5MD73DcU0OQ7MZnWBkNFKFsTsBbVbfc4zFDZMdiwCn7W7HIGki5ntjTf1HYIOtc9EuLN6w-pJoBeHl4KJsGX5-pywjjy4IMoZkWQmZB2cb7X1W5cl7AP71GQqqKeSZcu8BUfmuo7YQ0kvjhNJjLvXg_3WfheBjweTqVR2KJi0ikzTlMhWsWnX-0DtqXLiImwIS2n4szpm7es-IJw2J2Sqy07AzoDYJqWlQRNLO_rQxfwFGXwQAkI4ljOhSNZS1E2iqrOPPMsADhag1z8Yuwzg-4p7XXv5ZBvudXsBvmfA0lQ-EjWl8LGC6HPyLyTjYG80mS-cDcIE4AeIeBKgqzekKLj9A7k_6HPjt0BbjkVlnqnhde1XhE-K97dA5cAX-vyKlPEaNVvj6JjCsCEiQjKfRF5cWySPvjqNmSPT-FgoazSbItIXAOWaKjVH5qX-Ov4wKwIfBbipfifKdYXXTeqwm2JjsHX3wMAlRHpbqm6x0mb1znVpeQz9VAQwUlCuDt8X83oZ-IUug2DgnPWcN9puVDjPSliPKx7X3t6MOjcxhFTWwc-TwcQ566Oxt2g2FtNQaXGn_XL0R1XrFkCUZIwnB7XIAsKh_e8dPTAsVnLWJywI_LqlICini2yuKgmSuhUOm0OHlnHF2KlGTF9F3_VwfGsj-ShV5tuIc3E4JBGX3VCoBf6RR7lUu8eYpjgMm4FlKF9JYCdMO3AyxqnqrcYqOkTncV1jEbfFIhxbVDBEq_Ls6KaIPFc9CybnFYgGJHPC79hBISZg8ZLhweb98JopUMQ1chKXh_ZWEqrnFrk-zrvB9DLvgAvyw-F45_vUCMfGpswY0Q8jHNPKa_zCp44VB5ony4qac-xHOzjsOt5TNdFLEVElczVU7ZEiO9ouVICesYYxd8Q8zbjqgx49K3DiQmpEByCQj2bQuXlRHA_n-LxFWa6VYelWpzsgR0TJ4C6Q7XHRBdW2USSdE2RRem5EQKeB8p6JWCZschfYSm1vVZChI9bhaDLQj2i5lr_R0oMZfnB62Jq5C9AI8p8Lvmsm6P5RmGm5bIuXX_moOv64s53TR8p0XzPfvt2i8ZoaLye9mzQlVv9SYCrYa1J3_J3VnIaXMUMmgCfQ8lCBelEWXiDjpxO0DIfGbtzO4DW3Bd3LYxyT0twF6YPkx6qjQo7a2L1zzT1p11JGAwm0ftDJgvnd-miv4DdE7EVR3nYS33MksOybC0nFeVraSZo-q3qfogQM08HNgeqlJxGCmaTOoGeaLnPluAU-izDp-9g6SOB_eXVQWj6ypfnLjCKOgMdG9671_6SHW63AE84fK3lKjZK4Snl8yPqtNVf5eukKC9sVaktJi6OKij3LryvRlt6GCIFo3OyqFqIpjnpMTTTGq5gcYQHfZhfovusDGJzH1J7lvfXouaNjomNkFD3-00GNdIVLFAWgAmiNJB2xxEsVCt5mUwBi7SMhIW_orsTzupfgXoXt09y4DALeBJs-NfV91EalO2e_iu1ODWjg2SU-ixj2gNP4-hZGBM1CsCieXM9nXecnvIJdvDNpcnT-30dvEEFJ5XzLjL8P9APmBhhR607a2TJlWx-wqJdrHGqWShPjJNCN-f2LrIxtvT7zdgUY6SFEnGioq3puhlQ8fUQwvlGWG0U3fiyJ3DIUBNYSTIMTpX2ec5VDykrpv7WNOgqSyZCyZqYrynM7AK9UBn6hqEZqMuMZVZZiZ3y30wTjFHZ-hTqdAl5lyl6NsT2GyEZf0LxIekWJQyhQOWKwEb8CWVOubSj05WbakxTr0w9PG-ESx182OGdqIA4afZ7_G4m-Gai-QxHaD3iFojff6hv3_FDQ1aGvarVe172ACrlib_7HoslpW9_y6k46dbATey0KnmTfbpZq1OiDkR_de2SSUg4rzaXc_Z5nS-1Lw3TbQim_UWv1rSojYik3uqrD2Ugz0cOD6ik-NkFQ2jIISox-_m1tvG5NSy0xJ9GCDNR4jzU5iVNI0I5h6p1jua0S15o8psLfW-M8uOG3_umayrYdeWOenPV2l8NgvUIEWT-2GvlYE66wQ-e77DJCk-QUNl_DsGYntAHocsXVvX7K6Ikh3SgQrSEdDs8aFbmvNC5S2ENKxGh3D3mCr7jrZRZ3ztz5kPQYFWMnuYEFv8eR5PQ52XPxBeCu1GUllrm9FX0n4Fam3eBukRX199HOs9ebH8XB6altFbYVvgxG7ZDqRd8b0PjGLmAs0BAsf40-ZQzYdZerw1F41qp-M4I3ZYwbYCglx4GE6gP-x-iJlGnIY1Fagy-kj-QZ0QUKMY66uCbDSlL2wFqn-9SOODv-zP7KsEBe-T2lan-UVaELzijzHNdFmRfQVVuSSgfm9kG1c3A1ifAAEChj8D3luvpcText7Ik51VzoXVZCf8l7hNl9XtX201mQ37MbYLN6bJT2irn_Phjv7OF2G9mEgQZdNFWL5vWlE9sBD40kfpU0cngS_B3Eg7pvO8AcmX236z48zP7nGDEw14F3eYy6fZSIm3l-ep83IEawp3jkq9scfvbzZPsajnYurHAU75LPDRI8pFrZDnkbFKC6RzJ4A2E076Hea_CPHGCs2ugU68oTqeM1FewwD8iPPO_mgqOcfJ5d0MgYXWo8WQTy3jNi7quBue-kqT1OYCJiNSqpyN3CCDPxwoo52lr1U0WDEO1XCrQcnQiAFIg2TeZlwvsVXGvpG-3oxANYsM9pQX0hYjuqi-LsknoRP7aEmtCCk_PtGctjECnb9iJMzEbdqsn8SFjWWUXAQkh2cj2Eu-Fg8zC1RmZa3VL7PmrsIZqfdBivRyw_zCmj-rTgvil6xVw8Fein5hCa3P0qfFeP1SuWfakaYy5D-ft3ichAMmba3UMgDVGDf9lzchJluxs60rpbVMg84D_C-r5GUHal"}}
{"timestamp":"2026-03-13T21:41:14.887Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"sed -n '1,220p' apps/web/lib/store.ts\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_SPu1C9qMod66Fkzjn729NuYq"}}
{"timestamp":"2026-03-13T21:41:14.893Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":186051,"cached_input_tokens":169600,"output_tokens":1936,"reasoning_output_tokens":905,"total_tokens":187987},"last_token_usage":{"input_tokens":20830,"cached_input_tokens":19840,"output_tokens":602,"reasoning_output_tokens":542,"total_tokens":21432},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:41:14.909Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_SPu1C9qMod66Fkzjn729NuYq","output":"{\"output\":\"import { promises as fs } from \\\"node:fs\\\";\\nimport { existsSync } from \\\"node:fs\\\";\\nimport path from \\\"node:path\\\";\\n\\nimport type {\\n  AttributionRecord,\\n  InstallationRecord,\\n  PullRequestRecord,\\n  SessionIngestPayload,\\n} from \\\"@codexscope/shared\\\";\\n\\nexport type CliAuthRequestRecord = {\\n  requestId: string;\\n  userCode: string;\\n  mode: \\\"browser\\\" | \\\"device\\\";\\n  status: \\\"pending\\\" | \\\"approved\\\" | \\\"expired\\\";\\n  createdAt: string;\\n  expiresAt: string;\\n  approvedAt: string | null;\\n  tokenId: string | null;\\n  accessToken: string | null;\\n  requestedBy: {\\n    hostname: string | null;\\n    cwd: string | null;\\n    platform: string | null;\\n  };\\n};\\n\\nexport type ApiTokenRecord = {\\n  tokenId: string;\\n  label: string;\\n  tokenHash: string;\\n  createdAt: string;\\n  expiresAt: string | null;\\n  lastUsedAt: string | null;\\n  source: \\\"cli_browser\\\" | \\\"cli_device\\\" | \\\"service\\\";\\n  requestId: string | null;\\n};\\n\\nexport type GitHubAppConfigRecord = {\\n  appId: string;\\n  privateKey: string;\\n  webhookSecret: string;\\n  baseUrl: string;\\n  slug: string | null;\\n  name: string | null;\\n  htmlUrl: string | null;\\n  clientId: string | null;\\n  clientSecret: string | null;\\n  createdAt: string;\\n  updatedAt: string;\\n  source: \\\"manifest\\\" | \\\"manual\\\";\\n};\\n\\nexport type GitHubAppManifestRequestRecord = {\\n  state: string;\\n  owner: string | null;\\n  baseUrl: string;\\n  createdAt: string;\\n  expiresAt: string;\\n};\\n\\ntype MetadataState = {\\n  sessions: Record<string, SessionIngestPayload>;\\n  pullRequests: Record<string, PullRequestRecord>;\\n  installations: Record<string, InstallationRecord>;\\n  attributions: AttributionRecord[];\\n  cliAuthRequests: Record<string, CliAuthRequestRecord>;\\n  apiTokens: Record<string, ApiTokenRecord>;\\n  githubAppConfig: GitHubAppConfigRecord | null;\\n  githubAppManifestRequests: Record<string, GitHubAppManifestRequestRecord>;\\n};\\n\\nconst DEFAULT_STATE: MetadataState = {\\n  sessions: {},\\n  pullRequests: {},\\n  installations: {},\\n  attributions: [],\\n  cliAuthRequests: {},\\n  apiTokens: {},\\n  githubAppConfig: null,\\n  githubAppManifestRequests: {},\\n};\\n\\nfunction findWorkspaceRoot(start = process.cwd()): string {\\n  let current = start;\\n\\n  while (true) {\\n    const marker = path.join(current, \\\"pnpm-workspace.yaml\\\");\\n    if (existsSync(marker)) {\\n      return current;\\n    }\\n\\n    const parent = path.dirname(current);\\n    if (parent === current) {\\n      return start;\\n    }\\n\\n    current = parent;\\n  }\\n}\\n\\nconst workspaceRoot = findWorkspaceRoot();\\nconst dataRoot = process.env.CODEXSCOPE_DATA_DIR\\n  ? path.resolve(process.env.CODEXSCOPE_DATA_DIR)\\n  : path.join(workspaceRoot, \\\".codexscope-data\\\");\\nconst blobRoot = path.join(dataRoot, \\\"blobs\\\");\\nconst metadataPath = path.join(dataRoot, \\\"metadata.json\\\");\\n\\nasync function ensureDataDirs(): Promise<void> {\\n  await fs.mkdir(blobRoot, { recursive: true });\\n}\\n\\nexport async function readState(): Promise<MetadataState> {\\n  await ensureDataDirs();\\n\\n  try {\\n    const raw = await fs.readFile(metadataPath, \\\"utf-8\\\");\\n    return { ...DEFAULT_STATE, ...JSON.parse(raw) };\\n  } catch {\\n    return structuredClone(DEFAULT_STATE);\\n  }\\n}\\n\\nexport async function writeState(state: MetadataState): Promise<void> {\\n  await ensureDataDirs();\\n  await fs.writeFile(metadataPath, JSON.stringify(state, null, 2));\\n}\\n\\nexport async function putSession(session: SessionIngestPayload): Promise<void> {\\n  const state = await readState();\\n  state.sessions[session.sessionId] = session;\\n  await writeState(state);\\n}\\n\\nexport async function putPullRequest(pr: PullRequestRecord): Promise<void> {\\n  const state = await readState();\\n  state.pullRequests[pr.id] = pr;\\n  await writeState(state);\\n}\\n\\nexport async function replaceAttributions(attributions: AttributionRecord[]): Promise<void> {\\n  const state = await readState();\\n  state.attributions = attributions;\\n  await writeState(state);\\n}\\n\\nexport async function putInstallation(installation: InstallationRecord): Promise<void> {\\n  const state = await readState();\\n  state.installations[String(installation.installationId)] = installation;\\n  await writeState(state);\\n}\\n\\nexport async function getGitHubAppConfig(): Promise<GitHubAppConfigRecord | null> {\\n  const state = await readState();\\n  return state.githubAppConfig;\\n}\\n\\nexport async function putGitHubAppConfig(config: GitHubAppConfigRecord): Promise<void> {\\n  const state = await readState();\\n  state.githubAppConfig = config;\\n  await writeState(state);\\n}\\n\\nexport async function putGitHubAppManifestRequest(request: GitHubAppManifestRequestRecord): Promise<void> {\\n  const state = await readState();\\n  state.githubAppManifestRequests[request.state] = request;\\n  await writeState(state);\\n}\\n\\nexport async function getGitHubAppManifestRequest(\\n  stateToken: string,\\n): Promise<GitHubAppManifestRequestRecord | null> {\\n  const state = await readState();\\n  return state.githubAppManifestRequests[stateToken] ?? null;\\n}\\n\\nexport async function deleteGitHubAppManifestRequest(stateToken: string): Promise<void> {\\n  const state = await readState();\\n  delete state.githubAppManifestRequests[stateToken];\\n  await writeState(state);\\n}\\n\\nexport async function pruneExpiredGitHubAppManifestRequests(now = Date.now()): Promise<void> {\\n  const state = await readState();\\n  let changed = false;\\n\\n  for (const [stateToken, request] of Object.entries(state.githubAppManifestRequests)) {\\n    const expiresAt = Date.parse(request.expiresAt);\\n    if (!Number.isFinite(expiresAt) || expiresAt <= now) {\\n      delete state.githubAppManifestRequests[stateToken];\\n      changed = true;\\n    }\\n  }\\n\\n  if (changed) {\\n    await writeState(state);\\n  }\\n}\\n\\nexport async function removeInstallation(installationId: number): Promise<void> {\\n  const state = await readState();\\n  delete state.installations[String(installationId)];\\n  await writeState(state);\\n}\\n\\nexport async function listSessions(): Promise<SessionIngestPayload[]> {\\n  const state = await readState();\\n  return Object.values(state.sessions).sort((a, b) => b.startedAt.localeCompare(a.startedAt));\\n}\\n\\nexport async function listPullRequests(): Promise<PullRequestRecord[]> {\\n  const state = await readState();\\n  return Object.values(state.pullRequests).sort((a, b) => b.updatedAt.localeCompare(a.updatedAt));\\n}\\n\\nexport async function listAttributions(): Promise<AttributionRecord[]> {\\n  const state = await readState();\\n  return state.attributions;\\n}\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:41:14.913Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
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{"timestamp":"2026-03-13T21:41:26.542Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Evaluating route fixes**\n\nI’m exploring a minimal fix that might only need changes in the route file. However, it may be easier to test if I extract helpers from the route file. I can test the route directly while possibly adding a utility function locally. I should also check if `NEXT_PUBLIC_APP_URL` is set; if not, I can use forwarded headers. There seems to be an issue since `request.url` might show an internal address instead of the correct public domain. I should also consider picking the first `x-forwarded-host` entry."}}
{"timestamp":"2026-03-13T21:41:26.543Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Planning route tests**\n\nI need to set up tests for the route with forwarded headers and environment precedence. I’m considering two route tests: one that utilizes `x-forwarded-host` and `x-forwarded-proto`, and another that checks `NEXT_PUBLIC_APP_URL` when it's set, even if the request URL or headers are internal. I might use `vi.stubEnv` from vitest or directly set `process.env`. I should also ensure the route imports the required modules after setting the environment variables to avoid issues with constants at import time. Resetting modules in each test is crucial, and I’ll write a helper function for that."}}
{"timestamp":"2026-03-13T21:41:26.543Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Considering testing issues**\n\nI could mimic the setup from `auth.test`, but I think I might need to look at `NextResponse` serialization and use `await response.json()`. I should check if `response instanceof Response`, since `NextResponse` extends it. There could be a problem with the route using `request.json()`, which is available in Node. Also, I need to consider potential issues in the test regarding the POST request and the `x-forwarded` headers on the `Request`. So, I'll keep that in mind."}}
{"timestamp":"2026-03-13T21:41:26.543Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Evaluating route fixes**\n\nI’m exploring a minimal fix that might only need changes in the route file. However, it may be easier to test if I extract helpers from the route file. I can test the route directly while possibly adding a utility function locally. I should also check if `NEXT_PUBLIC_APP_URL` is set; if not, I can use forwarded headers. There seems to be an issue since `request.url` might show an internal address instead of the correct public domain. I should also consider picking the first `x-forwarded-host` entry."},{"type":"summary_text","text":"**Planning route tests**\n\nI need to set up tests for the route with forwarded headers and environment precedence. I’m considering two route tests: one that utilizes `x-forwarded-host` and `x-forwarded-proto`, and another that checks `NEXT_PUBLIC_APP_URL` when it's set, even if the request URL or headers are internal. I might use `vi.stubEnv` from vitest or directly set `process.env`. I should also ensure the route imports the required modules after setting the environment variables to avoid issues with constants at import time. Resetting modules in each test is crucial, and I’ll write a helper function for that."},{"type":"summary_text","text":"**Considering testing issues**\n\nI could mimic the setup from `auth.test`, but I think I might need to look at `NextResponse` serialization and use `await response.json()`. I should check if `response instanceof Response`, since `NextResponse` extends it. There could be a problem with the route using `request.json()`, which is available in Node. Also, I need to consider potential issues in the test regarding the POST request and the `x-forwarded` headers on the `Request`. So, I'll keep that in mind."}],"content":null,"encrypted_content":"gAAAAABptISGmMFzH-cWst4kkbz68Pl-oCQrgkd1f4INkPRb-1y33pugwkx3VDlhVGfHc2OrL0dEZXMpED6Rod_xJhxloZzr7Z0DV_dqm4s4vwt5v3A8jjLJ1UIZFIQUC7w-zeBZ6uFYfcKhTM4OYwM9exOVQBtSZFiQJY8DrqkueMPQvsBGXOoSqQ77qdqmPtcDaJovN90U6QAJ63d9rdtf1g-G2Smw4Od3vkqkQidNk-TYwgFIfNpTlpWPE20YMg6-7ZLD_Y1SyeSQvwjTg-u3PtLOMxW467VOuk3AIUuF7G0er7DDaGG7QPb56XTOgCzQhK_PerUGDaGLuJW9-LbKwcE4hcfJctfsB_9F0H04TJG1mp7dy_zoYEU9hj65KXCFdvbbDOu1qiXWVWunrUIgVuHT-_25SaCCqHGuTdzoB4eFEoKZrqpH0KkN7KLXENR6xkyBYGHzzkBkXHo-d1c7WZ395L6J7buCKwlXNOytTxBVXBUlrXKUwPoSHaudlH4dqdzhhZ-GpAbjk3CKaqjBMw2ST1nwfodoFA1NqZd7Ok6FNo2KZ71OJOxFlzCtTopBQo0c5W_zaX2A4kCMj6DmtbOU-L9YYQu_qkATfrEnksfE-Z0gCXMpNFgKfnlzDAI6mhqDKa6qt3RbcAI-NATOb7Omp2VXAjr80uybYc6Zh8atjbI3EMbjF0j3FIX1ifhmQ_idw5xmu0RPOST6zkzmuVYeZIxBuLOs4_WIFURPQmvNiXoDmpfIAM871bdjW7noh8VDb6g-rZVoEwTku1iGE-vePKFXM_3a4zu-mN-hba8BODEo2QJ5_2ib6S0ItEmZWwbvEk-DKv7kZ8kP3y5JNd5X7Y_SPFXqW2AwBJBtGnBrHHcIRAK4gRReqW0tFQOJekYkxsgoPkk0AB7GFEzwdIvazUE57Ve2d-KMPLqFGESawPqiB9-fUnLf3MYKPaycqyeq-ThMmFWKYDnpEX58PovmUCv_IkdpUWo3wg3Cy9iZJockpPpl537ASi6Vy812WiLvXbYatPlbHsJOZWsPlBGgvpMZPQUZpeldyY5SNf2vtleNwjymmGurMXz58LnHnPnGGnM-LvzlZgLTvIeFZhwJgOyijEo-riuaSgrLLBDwQdCY0r31T1LtDNEjt7UvXZ9YkqfBFJcZRWPmyFe2KKqr9Q8WkgcF3TdI8VPIYbvnxsAV69w5zfw2hprNVEPkIjiZp2vb1IRwDLNEzT5iiTiO0OlWuOSPOjKeT7fhnFHSG7LmnDzZo3moAXAU6Qkj0nVn9Fsb5dSY0RSRgPS_EQ_SuD_u9KNUFw29bWflwtJ_DonYBA8Skq2B11AZ8NyurHsgN9kddKXyd84q_MjfovyxmwlBOu-HDqSxNfhd15tD9mKLmNsRtbHDvvuPqc9PW9m0jD5bZ6zBKZ78lFMXQ4GGOYQcctkGiDV4q9QRZy2jszzVC0kZXUuTWAu2cP4VH5MAnkMwBZjCSezO-9pFZhEKuIuO45UCE5p9OItdQ-LMVbfP9GjajqtVpeJN77FZJov3FwAYAKUxpWHQKaUQ7MLLyka-1fB7Rw5Vp7K3n4uzRhdB2dOWfZgIAahIa_xvgA95eNPXGQa_WawuQrUp9SzPSMFXu4qfAdHOoey_h2ykzdMZhrTZRZLEzx5h4ozPPqB2lC0S6TTb9_ixFGE1y1-viMulsnDQOl89MnuLQ4BGzyS8tGip-WIEYdQ5Npud2KulUAVPgYcRljJ5otx6HN7A5u7aXyMNz0Qlnk9EQYR-5Vs3m_IN5lO7wgrEf1cr1IJcmKWGL98S3MkckCCV0gQynFRL0LdkCgIn98xglKSeUCN3sxkvujkg_NVJxy9mz3a3OHrlaJE9djJGAeTTiYEUHKPAT0bYaYDL7w7qRq4V42nb25KsQJjbbD8ECiHD2ylWpabDuuKPPj9NMWkT6BtyqVvH2i1GB0fY0hpBORDQHR31gi2JfQ7WEjxN16xfHslKdOXUMEMzbXK7w-sIUFJc_mM3lD1nNqHRgcOZsY1kT3x5r2FpE0CjpaREyqVCpoKzr1EvuEHy73XQ0aGzthCqL5B0dShF4kighDWhimewj-FsUzLZ8xVImdHLEIjJbyDRW-L0h_hzIkBWGGze3ctfqGs0DAgPX_TKdzM0D_OuhcaDdn5eWJd1JZ6QlulMC_sC3ymVLqwBD7YYGzY4ZiYUWYPYl1SYaoNSyG0fu8XtPKzJiMBGS2_2VnhiMcdUA1gUrq75Wsmqe9mEALg-emlQ1bA9GPOsghI6kRF1Qr2Ji-CcVkQHHKwbZ9ozpzs2-LN5LCND5flO7KsJfnEFbRUzOKkaw4PJ-ZsqGZS43LRrwTvjcoeLXDaNjLtoe-698DyGb9ZQSEo4ftx4o2Mn3FauvYNQNB7SCx_cSqcVRUGqecRMSw4YfPUpC5RlNgH1O-4xJZ5bjoQKB6wOYLmE1CyjMsBMZHZub9Fj-Mva3GE9y4vqxavTAzwkLVeGpBykTusjovsv0WYYP_V0g9wb4mCGomSRCUTjXSvCJk1r1P_9-6jnIL_TvL80M62q9IYLJIxJd7jp3LNQqjQ3DllPWZIx_3qiaOsQarHeAjgS4y2YqwRDbAEb0lzhW76EbaT6eU4bQ7tBJgIMlHKQ0Y9tES4zUSB2pHNfkVD6ciouzkXtw9GZh-OvFvvjyhp4Pgbmpp_glvB2cpt9UI2rbT3MTGayz9m1IJiQaWHGOsXvMpM3kBfhQZidiLzK9qFASJm5YvW0xZ-WOOUXOz7izpv0oBerNimqSz43d5W7PdrBwfFXK6rVl3ubgZB5CjCifrREuJYNryH8w4UAxzvXLydIGWXn5ySXt91gUGkXikBm8z-OPTuf62DKRjNGNKs4DHIQEbEAe2JyJ4LLMAnhRfGmDEG7h0D7ZpFb5hF5cCPYKslwWoxj2cgLujgtQdTaTU4_EXkGJezwu33btBcFXug7-h56D-3An3H0Bsf6tyneUVSn1xQGms04oIu791EYNOqtSOeomo7ZvRdhxa_oAp0rhgKM2fjHa9QY0n0xrHAFdWEmRSZvWNwanLrqkzQwrnE2zutGifa1lvnnyr-c2hX0SzJXChUc5bV64gpqrjCAPhSBJ3aAm6kEFc3oMRmO9T-XboLnTI8NfDPvm34K2zc7xIsffNIyqkMo9r_s09aiIGu8vlexvrltRtBVwgFOVtPGGOKMDmX1eF0ZArbCz-tX_Xqr8Rr13MEhm6ODk6p33X2z3mq6or4Lj3bt6THcoSlV9kmbLVuRaGGfgGG8oLkubAGrhzgrk2bPJ_E9Vk41NEsPSdid019aSQJ8I2IKWxmBSbIUMsss8ZE1A6Lo_pY3YtlbVQz3-GmiR2jOmKVlM2HmFeGW0NDui66P9WwQFDPUc_wBbRejcKAMM8VjP0jvkw4bl60gi3mkdVTRFnMuPIPat7ab3LXZvS9E6B-GuR8Hhv3rJ3nFP6-fZQOrbwlwH7VMVQzqT4tjL6qFkp_gEMJPgSOFpZDqOKB3wHSXnb_8Ryrm6t-2PriQhfgKTbibFv6dldVliwXb7jW6g-VgaubfCC5_xmhaJOuBUEVd545sYjqYfCauP6wuS7Zv6iN97cm8sgQSSXDE9F4e7r6XWJPctNJWxen3nDXK8liVH_b8f9DvZ9Y96oqTpMm3OIeHsLvVd8Ecvv6QVPLX9S8PdXk0A8_EtgWHBhs7FXn1vKz47bYYQ1WIv0K34eZJGXuxgvsJTHiCVbJGQiawQfZ0Dz9p4X3kkBvzDsCLU_pBEexWIBBLqDqBLcUy42gJCPuwpgF0_v4FPa9n6ZuUFKQZtbAawYxUsZZB5qDtYLmPrvlAnzFEqEHB_h7fkC9AH_ASMJxRJRqnOIQEMrKpmVp5qKNgdNn_VyDctFA833PBu4RWTN7Oh7s9N6CfHUNc5Zgj2v3DFaepLSAQrrPwb8nNHJwPB51pW2qQU6LpMCCgHE43QawVmBGEIUu6zkMIeW4OIGtAHXraMZEWMijOl8aWoXJfTkdKxUzL4OQ-bK_xASOu6i2gOnyW55kLALKE2KpK8agKA5qz0BNeiTeQ4eYN-k8VJITcRgEo--KVTJApZkg0xnP-1RokpYOZvdsNsM3c_ZjIgwff4pw9R7xD096pkYlIvWMc6hwP5C2w2dWqerExPzSZutX2vFFnm8W2KBbjQZkOjD6EVEJGr2igKJxsbrGF2p0hv1vi3cbTMvSXiT-o8zK7mDl3P9qvaTiP8qYEaeSmZ5wWMditGF1bOl7SrMbftHLlfO_HozdJ7eAiRs84qFAW3anX4agrziwBMJ9We3R0YfsOJUBof92oU5rbZ1UslgD6aXw0BOkAj-XHoX-SYblHN1Ma9DWV0MwZvTLEJBX039rzqpYEeGa2A6lmJo_tkKcSe_aSSsA0WHrNsQZGCg1pYK6p60-15r-giwTMZdB98kL2Hggmm9rkG4I_lchTDYgW2P2ogeAxY0gn8Vio0ZosT6j3uVsjZLVJz9Y5r9g-5yE2Y932cxaidiKPTR6-npfoF0QeZgNmxuj6eUYEM_QLnb1AGoeak0Kk1s7VHLgpMoEMZZTyKeXu6tlofmr4tWOHyJdwJehSGfH6zWxERGgYWxq7i3hbjh2Jeqd_u4S-k4rXLDRKQQL7W1jrodZXiAPcw819ke1UplQ0uvzuGTTyQ3i2kAKH5CR0begcYXQQ3MU_G6U6lMUcXDTtVjKrXg16YZ6cG9XzTOo0wxCUjj-JCpdQqga5Fb8cwB1HUTWdWjN9iug0n3L4oPs-b25tUMWNNTtejwZId2VdrE_zEh-Nz4k9SvhXi2YTLB4TnxCAbxtuhEU6INNTPGrmz-xfgtYPRmNaAsrw2CsS1Bif8LUd8YmtOdsGaMhXqNXCqQxNq93dWPOLOcvkRy-4hSwbpphBS8J0d_yOIB9qmLdVp0Xdt8swBkddVjucM-rBQiq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{"timestamp":"2026-03-13T21:41:26.633Z","type":"event_msg","payload":{"type":"agent_message","message":"I found the root cause: the route trusts `request.url`. I’m patching it to prefer a public app origin from env or forwarded headers, then adding route tests."}}
{"timestamp":"2026-03-13T21:41:26.633Z","type":"response_item","payload":{"type":"message","role":"assistant","content":[{"type":"output_text","text":"I found the root cause: the route trusts `request.url`. I’m patching it to prefer a public app origin from env or forwarded headers, then adding route tests."}]}}
{"timestamp":"2026-03-13T21:41:26.783Z","type":"response_item","payload":{"type":"function_call","name":"update_plan","arguments":"{\"plan\":[{\"step\":\"Locate auth start route\",\"status\":\"completed\"},{\"step\":\"Identify public origin source\",\"status\":\"completed\"},{\"step\":\"Patch route and tests\",\"status\":\"in_progress\"},{\"step\":\"Run relevant test suite\",\"status\":\"pending\"}]}","call_id":"call_pNUAuFcwZK3E8Pn6q9OpfoOs"}}
{"timestamp":"2026-03-13T21:41:26.801Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":209272,"cached_input_tokens":190848,"output_tokens":2726,"reasoning_output_tokens":1588,"total_tokens":211998},"last_token_usage":{"input_tokens":23221,"cached_input_tokens":21248,"output_tokens":790,"reasoning_output_tokens":683,"total_tokens":24011},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:41:26.801Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_pNUAuFcwZK3E8Pn6q9OpfoOs","output":"Plan updated"}}
{"timestamp":"2026-03-13T21:41:26.811Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:41:27.488Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":209272,"cached_input_tokens":190848,"output_tokens":2726,"reasoning_output_tokens":1588,"total_tokens":211998},"last_token_usage":{"input_tokens":23221,"cached_input_tokens":21248,"output_tokens":790,"reasoning_output_tokens":683,"total_tokens":24011},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:41:39.991Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Considering patch implementation**\n\nI need to craft a patch, and I'm thinking about how to implement it in route.ts. I plan to import `NextResponse` and set up functions to handle headers and origins appropriately. \n\nI'm considering using the `new URL(process.env.NEXT_PUBLIC_APP_URL)` method and wondering if the environment variable might include a path. If so, should I trim trailing slashes? And if it doesn’t have a path, could the route add `/cli-auth`? It’s a bit complicated, but I’m working through it!"}}
{"timestamp":"2026-03-13T21:41:39.991Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Finalizing base URL logic**\n\nI believe the app is likely at the root level, and using `normalizeBaseUrl` just to trim slashes seems good enough. I might consider utilizing the `x-forwarded-port` from the request headers. If the host doesn't include a port but the forwarded port exists, maybe I don’t need to worry too much about it. \n\nIt also seems like it may be okay to ignore minimal details if working behind a reverse proxy. I’m thinking about exporting a helper for testing and creating a route test, while considering if I need to import `Response` or just use the global `Request`."}}
{"timestamp":"2026-03-13T21:41:39.991Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Inspecting TypeScript configuration**\n\nI'm considering the issue with vitest and TypeScript transpilation. It might be related to the `noImplicitAny` setting, but I'm not completely sure if the package requires a `tsconfig`. So, I'll take a closer look at the `tsconfig` to see what settings are in place. It's a good idea to inspect that thoroughly to ensure everything is set correctly."}}
{"timestamp":"2026-03-13T21:41:39.992Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Considering patch implementation**\n\nI need to craft a patch, and I'm thinking about how to implement it in route.ts. I plan to import `NextResponse` and set up functions to handle headers and origins appropriately. \n\nI'm considering using the `new URL(process.env.NEXT_PUBLIC_APP_URL)` method and wondering if the environment variable might include a path. If so, should I trim trailing slashes? And if it doesn’t have a path, could the route add `/cli-auth`? It’s a bit complicated, but I’m working through it!"},{"type":"summary_text","text":"**Finalizing base URL logic**\n\nI believe the app is likely at the root level, and using `normalizeBaseUrl` just to trim slashes seems good enough. I might consider utilizing the `x-forwarded-port` from the request headers. If the host doesn't include a port but the forwarded port exists, maybe I don’t need to worry too much about it. \n\nIt also seems like it may be okay to ignore minimal details if working behind a reverse proxy. I’m thinking about exporting a helper for testing and creating a route test, while considering if I need to import `Response` or just use the global `Request`."},{"type":"summary_text","text":"**Inspecting TypeScript configuration**\n\nI'm considering the issue with vitest and TypeScript transpilation. It might be related to the `noImplicitAny` setting, but I'm not completely sure if the package requires a `tsconfig`. So, I'll take a closer look at the `tsconfig` to see what settings are in place. It's a good idea to inspect that thoroughly to ensure everything is set correctly."}],"content":null,"encrypted_content":"gAAAAABptISTRnztIF-74SI19erEQa1pyIBFY_Ry0pXbW4yVHa9SaiGbPoaDOV0-X6WXTVrfqXVp9Q_cgyPjFAEG8FjV0XSDW0kBYbux4tuLyvzveRlbN2Uh7Z7edlYkHAfi9vQ9KAwwFzNT5EananGHNUxKmXb5f78CkWGGWZtK-XSWDUM_FagVSQ9dx3wJ6-mYLddAorN-AJKb2wGLVEs74Zg7mbgGC7Ab-grLPVTa6ljNKXtNPyXYKT8dkZAqE9lGYePq8Vn7KkdJ3Ni50UEH6CFGvjF9Y7vF94DcQVxhJWXX8ye8-C_-HFn8dVKIrPR6QSgnnnqV7ggsX0cbL8Kkul9zdMD6vHNdQgX7gvfhRyaYFAIX2Sfps5pCeR-at7a7rJGbqrrV2omDtVbZtN539n69Ryl7b_FCVD0RLKb84xtXvusqg-RDCOlhmEHLmwpMhClUH_qWD_ttb9DvkvGq_D9jEWpd3ztu2KYHdvm5P55CRZeBiM6_-lKQNouNEO553hMj-y_tk14RAl5Igzfkmqrc2O8rtAY1LPw8W0APbxC9rj7Vlzbhzli3R7bij5hahiHlW9uozVoYRW_FmW4i3R6aYXMwgjgrET-PSXrHyRP0uH39s0SwkxU4R4-_NITtu2Ss4oeqsq864rwGRwR9DRbDFqvnHRt08BmnkGzsuXe5V37cCAjN1pNByChNpx5KP_Xg_ExdFgaW6p-v1cBg65Bh5LlPBZKGzTwT62wbOFcekkBFSiCbkiC4Nozm-WQGOMY_U1cdrJ53Tq0ysWnbO8Q9KMHb9DiqIM6MrF3hY1IQKvsrHWcqP-ygQqCr0MZsRGui0m4vrqhFeCIWv6ohV6Xcbu4Pvibn5cTFZNx_ee7VJgu2M9h0Rk6f2EZnw3A3tvQLNp22mmvNg4YZb7KRcssyvXt8WxWh2YknqkegD0Zc3VUIw4Z64sjjWuBN8tN9_P_8l3bSFEFrecfdR9CbrWNRNr06urzbtuZAv3Jgx_YCMCMyqULidak6cLoB8NKJyzvLOW73K3Kyy4kv0LsS-uGJQnkD8wCT1jNkFG6Mai2GKfc6j1CMrVzFGsUC_i3fLlTHrDNK-KPtcRrFzLugyv5szbUritqtz2zDmjl_IyyFJY1XS5jxSM-j33rTkcFB75phBX3mIdx6yTuILqmsTXA9gYQTsj_vns4_q5mAEBS5rW53vyPWNZZUhpij6VqSnjwAF5zP_rswkDhCS7f1Ya0ZWRABSZ5-NpNLywh6phKpnIkPwaICxdY4BEO9MhZLFLlF_PA9mdKUCGJCf7DEftkmmTsQTjNt5LTb88tumDOfNiFevJUoYIbXdJZb0SfXzd5pNGSWvLjebIRDSuPD5z8bW_Rm79TOKcAozc-ytNPdJ5Ac_K5x-YcMR2zUQhciP9sfK3Xu2TxtQ40rMd0W6Wv1eihrwPXTibCFpos02ieA2MoOuXQNZop7NNqwsYBfM6Rdj8YhA-xFwdCb9gy7x3nFePj5isLu2qO5Gqr_EgFU1-hk_jnTJePZjO3OHASCzmDLUOxUs6N7yjrMm7ceO5qyFBeceWgPZxeTciwLrBkQdasVoaowK5ZyqC6tT5a2hG2W1ejFjsJNmGgzn43p2woXVM2Ie0VRA8Dj-91HenR0XXZ44USeMbA4gH4fXFRV3AinJyhNplYyWce8SHcZ6grlfk3MQPoXC7q49PtUyuu05s8JOlunTGJHoJj1hsTWfrWz7L2L4KyM--p5qqJ111AYkH61UYTbWoOPiFqMkm4DPU2SjKPXOBXo9pkMC-8MwvWUwF4shz0bD48yx5QWifhK8fWT2tvDK5FBQ36t3QUiYlAYOCxU8tJ4PGdfJ8ZrLLdn9uCE2GwJMt6Z9-roIfDr1zlt3ePJ5bNbcdPoeVoMIT0Yl5UY_L8yc-6hsS-MbzuyHL0NgGq_36HJH3cetzvrA-hVDBg2LnSmVeI68cK057PeL1jGqHmXSJkoNyGvfg8ZmfCJldkPC0Ev6esnKioPyq-iZ-TJEJA-UcVW62R7oG-jxben_9fNV20QpVVL_0IBjgk8kfbBoxEovcPsnDB0VSdq_HjJJfG08XCm-i2BTMI-1J_DCAP6ew36xpTsdIHzMl5mBCmkmMcpIBCy0Dv7VRU2t2NJzK3FX-OWN6xhvrFd7doIvmLItnef6O04ExP2SQDw7cdg7FdTcCdyoVNNA7tH853FiInURAglWnE96hhqNuG17avf4hDw4Qi4uj2g_E5X47lUyMm2xi9De0xy9GakdPerSGKbo0NX--f0HXt3ScZG-fQzK-U7EQRqrgcCLzxjeZ4XdP9Gn8vQctB7b2p30U7nooS_4D4TfwgTJTPUkqGB1vs1gclQcymdjj91HElTPDzOnISyJ6231-sqKbFK7KyHppIkKlrLvFHZtuYtviQn6nf5xHuZyOi42YpL3-VabLMt2_EKXumybszW1glXRUEfBi4rQw8dxpvmbuwBKR1KdQD0FIU1REu-SupAq7lWrOLOxnBKCTzK4WZ8n2htLem9s5VntzEh3EK_QgEV_u9xSiwdxfkbxgrNBn5gjLZ5m04F69TyeYlc0uKgRmjSpJDxaBZn7jvwYRR7EBw3n-vLVFuP0-wUS7hMHrrnYGjRZoE4wukWzQ_OVboG0xb39-FtX7AztWlzS7abQaueIO283WRcRLo6-nJCFbTpQ5kCZqybH_U1CIGtO48-aIPgYh2oBWhgdkSmq0wuRTNRKPAizjUvNKs4Pci4sKwwZwlpQ9qeyCNl8wuZvKxhz8ipQtOhOilIaaYMxafwHx5MVS-5YOz8v3L-NXZ60Pn4Pcnwi37xbrBjsgesVGo6Cfw0bKSjnH6wJTAUeodHa2iGr4IiG-G2tcEToDaRqqt56Hi0SKjcxXG4yYaW6Y0GKeDFi6-lprQtjRZAiUUNbVlYlyqud_exkSA076hkcF9y1XHmQc1HT2Jux1_nHhYzUuFVQUsWm32Oult9rrmrWshW-kwyrVLiXRUccZ68gawKQtw12pFwB8-8gRnDGs8_cm6tfAMWAFpscc0ImZolunHm7vv0UfjpeDLtwrELjlaCYdsVRagYEiZCwDAUUqwbNKNpNuArCMZcrnjJU1PhptX3xU2Fb1QOT5GbsX0EmyWWRBP5vrN35WEFCu1Vyy6Mk4MRnCKcL2I0mpna_K_YogdCBFjpxoYmzFPs8x-GF991fNvw5Mh3NWOyvXUR8dmK20MxclUOpNjYKT7GOU8gQxTzugWg723-Qx_zg0fLrJ7IIgE4Z3eRwoz51FaQMsyty__tyfocAeVtbS-X6cyCL0piTME6p3xDSWUmunNYvVyUTa_WMcAvyCctqgDYriTR5qPVh6NbB69KU7skH8vpTf8pduXAcSZXW8yjM8iE3C1dzJJyKdyO040_hSyTZIzMsRSidHn5Aokz44gGd7UaMHCdD7Yjj_6dlgfU6KZ2ibFcKf05F51sV1UEbds0jSy5a0bz_xI0L6LD-bSgNOZ_Qgbdwskqm9NML1Zm33Px0eOzp_jLbMB5YRAY69wrj4EwLCDBF-1P4jmD0jgs6ITh6HyHEeILGwm8cImdZlh2S02O5Pwo-PytaRF5xxTmqNckh3f8KpGQvQ3YHHeUEM3oyJe0E2c7AeA10wi-xAuTEWQSn2CvC-YSSOCANwVZo6QAsQLmoKoa1tW6gNrjDOAL3ATusjYuk31S6vRK2glNjxSizWVN3lZgxO96jChesaR6BR4NnN3bnw2N0E9XTdQO6Lu1Af_ua0Jfb3w7rrWpXKVbg9ydATA8QUHxX2BJ0de9tO8JLGNREL197NDdDpgef4jjO8RJa4-CzaO8e9iHtFeXlvUZ993IgYC-z9sUev5x9Kd9bIisXYM-n9PJEnnhT2W9p2YIC1XqhuELKjhyoPHfoCp8tbk5D2AFF37qs01P-1usKXigEHgptN9HXoMKZn_90fRnM5k9EncRYTTkJ2S8il37wfYYNkIgrl2EXOC-0oHWoPom3oQ7I-lSii67wj3g71osBAInvEWRhgqCUINS23jeHANVCZQ2itAj0_EcR3CryADCdqe4FOKQ0Mtb3dhAF2ugoL22P5LYZEuWiC_YHNluGU4qk5OI__JJ9vYdPOUN8NFhz9hciDA81WVdMFt4Xp_b3wXHmu4eoxLEp3nNkQRYj1UDDKA9ki0R6aRrWth1MU2om5dTFEJb1W0aezbkufvQnrGLsq_5gbc-YgpJMFZxYzTUs8xYVQVSuxXdadKGOqKNIKcHHv0IndCOoWEwRjvHUcGFfM1Q9acmsYeJ4MNviHLQ_1WEChBJ9QDPXK2TGl7DRokP-Z1n--gdQ6DgCTmUbz6ifRY8iv3GJ4j4PPRWBgtkjtgNv7TXlaX1IcEx9no6qzTbGqSeeWbFR8CDKLHAuyTZYrtoRZyGA0pRjua7shUAxVVCVm8LvlpZurDOIosbAOj4unFpfjJ_gU1iofP2thcpSmPGInooGRd5tObRkjfSQnnaY4ZeWHlM_CPEw7mbGlEKuJxDv-FtcrhpEkpRykwX8Y0eexLVsZLNTVbt-WfYTjkQx0gg2X96xIzNfQwS4VW10UJHkj1lOzwbCkkcIR0ymkY5Dzt8Yr3gqcpJbbJ429wLF3M2LuZLfnEPXCWDNDdssRyXYg_eGAI1242wzjhtSXEC2ST0Jv0NUy_SOETELid6xImGi_-Z1QdTErMu_d3Y8bCRt7fp55fR8-meOESfu1cvs0el6TPBgvQwUlmbSC5A6hKzVVF9vICku5BBMhxDZ3SGte47RbtM092LlnygoKU6WUdYNHzMQKArBNebPaXQ3GJn3krbeD2gh0YFVm4tw2xENsBfLLkX6FzwFKoi9Uk9V1uAYL_Wa7QmOWvu121zkzi2X4urx3qmWLgwTo_r1eYLeR7qzKiYBHHpTej1tL5KtWAWy_tbMnM9vcAxIBGvfI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{"timestamp":"2026-03-13T21:41:40.140Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"cat apps/web/tsconfig.json\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_GYz3PKhzcpasAJIomjbk45kO"}}
{"timestamp":"2026-03-13T21:41:40.152Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":233296,"cached_input_tokens":214656,"output_tokens":3706,"reasoning_output_tokens":2515,"total_tokens":237002},"last_token_usage":{"input_tokens":24024,"cached_input_tokens":23808,"output_tokens":980,"reasoning_output_tokens":927,"total_tokens":25004},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:41:40.153Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_GYz3PKhzcpasAJIomjbk45kO","output":"{\"output\":\"{\\n  \\\"extends\\\": \\\"../../tsconfig.base.json\\\",\\n  \\\"compilerOptions\\\": {\\n    \\\"plugins\\\": [\\n      {\\n        \\\"name\\\": \\\"next\\\"\\n      }\\n    ],\\n    \\\"jsx\\\": \\\"preserve\\\",\\n    \\\"incremental\\\": true\\n  },\\n  \\\"include\\\": [\\n    \\\"**/*.ts\\\",\\n    \\\"**/*.tsx\\\",\\n    \\\"next-env.d.ts\\\",\\n    \\\".next/types/**/*.ts\\\"\\n  ],\\n  \\\"exclude\\\": [\\n    \\\"node_modules\\\"\\n  ]\\n}\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:41:40.155Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
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{"timestamp":"2026-03-13T21:41:41.501Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"cat tsconfig.base.json\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_sWvTaCvq1ESanr7csF1Ya7Tb"}}
{"timestamp":"2026-03-13T21:41:41.509Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":258455,"cached_input_tokens":239488,"output_tokens":3755,"reasoning_output_tokens":2515,"total_tokens":262210},"last_token_usage":{"input_tokens":25159,"cached_input_tokens":24832,"output_tokens":49,"reasoning_output_tokens":0,"total_tokens":25208},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:41:41.515Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_sWvTaCvq1ESanr7csF1Ya7Tb","output":"{\"output\":\"{\\n  \\\"compilerOptions\\\": {\\n    \\\"target\\\": \\\"ES2022\\\",\\n    \\\"lib\\\": [\\\"ES2022\\\", \\\"DOM\\\"],\\n    \\\"module\\\": \\\"ESNext\\\",\\n    \\\"moduleResolution\\\": \\\"Bundler\\\",\\n    \\\"allowJs\\\": false,\\n    \\\"strict\\\": true,\\n    \\\"noEmit\\\": true,\\n    \\\"esModuleInterop\\\": true,\\n    \\\"forceConsistentCasingInFileNames\\\": true,\\n    \\\"skipLibCheck\\\": true,\\n    \\\"resolveJsonModule\\\": true,\\n    \\\"isolatedModules\\\": true,\\n    \\\"baseUrl\\\": \\\".\\\",\\n    \\\"paths\\\": {\\n      \\\"@codexscope/shared\\\": [\\\"packages/shared/src/index.ts\\\"]\\n    }\\n  }\\n}\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:41:41.518Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:41:42.139Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":258455,"cached_input_tokens":239488,"output_tokens":3755,"reasoning_output_tokens":2515,"total_tokens":262210},"last_token_usage":{"input_tokens":25159,"cached_input_tokens":24832,"output_tokens":49,"reasoning_output_tokens":0,"total_tokens":25208},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:41:44.625Z","type":"response_item","payload":{"type":"reasoning","summary":[],"content":null,"encrypted_content":"gAAAAABptISYcKrqQZ0aft_sCnUJSBjHbl1hEuT07yLnXUozHNRpjWBBUIaJ6VVrX6BeqbTGKHXBLpv5QgOQtP7cdpSDdfx7f2dOSKe3lFWf_r-HT7i30HxGUMQ3U5h5mzXAWLd2aN4l5-cW_fsLOs5pRRNe-aEDYCJ3Vau1Jd8oAgS7stLOY0mIbYdOeAJ2NRc9QFPLbonIy6PkROz_dIle3p0zYdskHe5Mlf264fj8sJw2D9gZxmud_PEkjjgvu2XSpsP3L9ftIpA1-FVUEYVDCMM7uZtRRh7awfulM671b3xR2A-19KOhIOGT5bgiJdVfLfSMRDn3W0pS-EI9oNy4Ch12q67y5ohCCr7CAiGneAzMUJWYBSpMzb_O8R8AaBMHehQUENlOoNiYeVwOYbK03vqhY9Ws3WNtMDDkhWtd9bohC_HWt3klHidLVEdqVEXoEi5XoREQ0o9LtZKEdci49G-WcWxYbt1bmXAtBym9sreFtHeEbVo239W0ioshQGtOPcCbCqa8QWSodlfxou0QLBR-REx-XLYLRnniAK4kLU9AGUNp_kbHzezCUTvwq4Wrbdji_UKVVUENqvE_057ghNhHgA9Zq27L7wq7_2DdHv-GEsUfjR4IpLjZJH17rfxM5os4dIVvnn0iIRhDz83rTb7v7e3XwzFsLbxdZxqDd5i07USb5iiA2i-UVMeKRP1LLPCNTB5307SMjFNHCTIeK_ysMwcX1_n2mJBnRnlSr0L5S71PiHHxAJGLNA6OV25UCKfrBM3cggeJ2OLd7Nof3e2YggeoKW3UxU0IlVS9Umg9aSK3Z3baxGvMdCYDT0kH2hD-77ruBj4JX89i7tZhOi8QKzVkjy9Ujir2-KjxYoZTF7-Sd-CjPjqJ7gFiBBalyuCn-7Ti0kjqVmnjBjP7wVFjVOk3lzcxZRngUJg82dwLnL-_wDBnJ9ymPngTlRe4fFC3kx_3F-jcSLc_6gZsaHmE-m8ClU3QZVzm6_V1DbYRD8AtgTJc_H90Lruk30L9tLQ8UidK6LPq4-fm7-K5p-Cl81xQvcoAYbdpH3y7TyfqSwoxuofEBviymivCHsonUCx8HmZvbMaxlSH0RJmijEWZ1lSQvkaMARRqhPBgHV3rzDwS4g28v3ShDra9AfIPbzWH_TXyaxgRm1N4TBTZvceyk8-29WyoGOEuyvZeJ307Yh3v6EWUHtRpw2GyIEjbNu4nT58AHsbPzOgTBwDFcwfKeH6qXCYQA0NwK17WK7ht_vU6fhaJdiGebVVCoCi44G5s-SHOGO2E-qq7jF6jbT7JvPsIrJBUXmZq_QaZD8Wd6s4szvdQyMlWLLu11wfeZcaa0IAWeX7koanYRBJiaCZE33uVHttXQOJN56fr8oR5pXfBxiW92koQG0Ceflkbp9qTzZeUrBEtcj07R8XpM9GpJo2D3A=="}}
{"timestamp":"2026-03-13T21:41:45.480Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"rg -n \\\"from \\\\\\\"next/server\\\\\\\"|from 'next/server'|from \\\\\\\"next/headers\\\\\\\"\\\" apps/web/**/*.test.ts apps/web/**/**/*.test.ts -S\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_OX2erHF6pvDFM48EZxeMXLRF"}}
{"timestamp":"2026-03-13T21:41:45.490Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":283859,"cached_input_tokens":264576,"output_tokens":3938,"reasoning_output_tokens":2612,"total_tokens":287797},"last_token_usage":{"input_tokens":25404,"cached_input_tokens":25088,"output_tokens":183,"reasoning_output_tokens":97,"total_tokens":25587},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:41:45.509Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_OX2erHF6pvDFM48EZxeMXLRF","output":"{\"output\":\"rg: apps/web/**/**/*.test.ts: No such file or directory (os error 2)\\n\",\"metadata\":{\"exit_code\":2,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:41:45.513Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:41:46.202Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":283859,"cached_input_tokens":264576,"output_tokens":3938,"reasoning_output_tokens":2612,"total_tokens":287797},"last_token_usage":{"input_tokens":25404,"cached_input_tokens":25088,"output_tokens":183,"reasoning_output_tokens":97,"total_tokens":25587},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:41:48.809Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Patching route and tests**\n\nI'm thinking there might not be tests right now, but I believe it could still work. I need to consider testing the route, possibly by importing it through a relative path. That seems like a solid approach! So, I should go ahead and patch up the route and add a test file to ensure everything functions smoothly. Let's get started on that task!"}}
{"timestamp":"2026-03-13T21:41:48.809Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Patching route and tests**\n\nI'm thinking there might not be tests right now, but I believe it could still work. I need to consider testing the route, possibly by importing it through a relative path. That seems like a solid approach! So, I should go ahead and patch up the route and add a test file to ensure everything functions smoothly. Let's get started on that task!"}],"content":null,"encrypted_content":"gAAAAABptISc-EDASkKPgsN6HSAaPCsmv72q9fq4JwGFtuLQxmYUEeqRlKjMH9DotHlrOSlvq0aBw151Vayn3WiF4HkodnX1Noci13xXJxgU6kuoqYEZJDl8133FQmXtc57gBxJPXCpiUhVSl3v3tUfaMjiQNG8o_aVOsaW7tMROqAmD4RpGI4CMq0M27UVQv0dXl_ghw83XQa0TREHI6M_qcx6SZ95_UUJNGz2p8wyKSwy1OrKasGYiWl6lzxE8pQLa-my2DUEWxsiKTOonh6zOihSQhWCvaPnFeAJSfrZXoo9XiC6Xh_xPz1mIpJ0MJUSA3tri6G7xR4ibqlpvYtuVi6vwEWw_ukXFqKDk7hyfSsxGXMlwCyJP--M7C5HSUYD4rWUYhmKZecw8Ejctv9ILbp8Pjnx5O6P5f3UbpmM_AiQI1rFYv4Q38HZo_8w9PsxYefo1xNcPOaa7sL1elJOVSbYc6NF7e5Mdt25abVrbhoPfF_Nl-9b2IGDzKUJNsXHUmgBvKvh17R9JHl2lRce_3e4BIvnIhVfZvNBLRiPY1zwWlvAQqEtq3jnDI8Ts4DsHj4nC4mAqyPjPjlaql06IihLNYJhv9bEOuKyab50blt2r8VvO3E_iBwpOS0bPwrTiglfcoek2ar8riSOFTmhuMv2YUXvhGHbFajrHdv3LICjaIvlwEF0x3K4pg2MwV5tJc_EcikDJpSzmghiK5YbhnJMg-JZneD6Z6pJfw_ZFXaAk35pxueAjFazIHCbMVqex8So-g9nxg9k6J7RP_oeyMfJwvQpH3Em5EkjNnwtQ00ObSmGZZ92rYv6zAJGECljm3AdV0-nzz96KQc6UZLYEKH-nTdKB7eBB9_E7xZpslX5v8Chh0tX8TiMMMvl2Yl1T9kXEnxrp-DCotXpZ0HPo2pwBhzTnPpOLyju8SorHntahzNwSMNT79vOhQU0zOAiikaxPs64d2ITCpIKGMyZrSY1CSar0FtGuBTXHqJZEZiskwojcmr-xUcwNLaZuAzI49gbfPBFzZJAGX3V0w8x-VWN12xr4sQ=="}}
{"timestamp":"2026-03-13T21:41:48.873Z","type":"event_msg","payload":{"type":"agent_message","message":"I’ve isolated the change. Now editing the route and adding focused tests."}}
{"timestamp":"2026-03-13T21:41:48.873Z","type":"response_item","payload":{"type":"message","role":"assistant","content":[{"type":"output_text","text":"I’ve isolated the change. Now editing the route and adding focused tests."}]}}
{"timestamp":"2026-03-13T21:41:59.260Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"apply_patch\",\"*** Begin Patch\\n*** Update File: apps/web/app/api/auth/cli/start/route.ts\\n@@\\n import { NextResponse } from \\\"next/server\\\";\\n \\n import { startCliAuth } from \\\"../../../../../lib/auth\\\";\\n+\\n+function firstHeaderValue(value: string | null): string | null {\\n+  if (!value) {\\n+    return null;\\n+  }\\n+\\n+  return value.split(\\\",\\\")[0]?.trim() || null;\\n+}\\n+\\n+function normalizeOrigin(origin: string): string {\\n+  return origin.replace(/\\\\/+$/, \\\"\\\");\\n+}\\n+\\n+function inferPublicOrigin(request: Request): string {\\n+  const configuredOrigin = normalizeOrigin(process.env.NEXT_PUBLIC_APP_URL ?? \\\"\\\");\\n+  if (configuredOrigin) {\\n+    return configuredOrigin;\\n+  }\\n+\\n+  const host =\\n+    firstHeaderValue(request.headers.get(\\\"x-forwarded-host\\\")) ??\\n+    firstHeaderValue(request.headers.get(\\\"host\\\"));\\n+  if (host) {\\n+    const proto =\\n+      firstHeaderValue(request.headers.get(\\\"x-forwarded-proto\\\")) ??\\n+      (host.startsWith(\\\"localhost\\\") || host.startsWith(\\\"127.0.0.1\\\") || host.startsWith(\\\"0.0.0.0\\\")\\n+        ? \\\"http\\\"\\n+        : \\\"https\\\");\\n+\\n+    return `${proto}://${host}`;\\n+  }\\n+\\n+  return new URL(request.url).origin;\\n+}\\n \\n export async function POST(request: Request) {\\n   const payload = (await request.json().catch(() => ({}))) as {\\n     mode?: \\\"browser\\\" | \\\"device\\\";\\n     hostname?: string;\\n     cwd?: string;\\n     platform?: string;\\n   };\\n-  const origin = new URL(request.url).origin;\\n+  const origin = inferPublicOrigin(request);\\n   const result = await startCliAuth({\\n     origin,\\n     mode: payload.mode === \\\"device\\\" ? \\\"device\\\" : \\\"browser\\\",\\n     hostname: payload.hostname ?? null,\\n*** Add File: apps/web/app/api/auth/cli/start/route.test.ts\\n+import { mkdtemp, rm } from \\\"node:fs/promises\\\";\\n+import os from \\\"node:os\\\";\\n+import path from \\\"node:path\\\";\\n+\\n+import { afterEach, beforeEach, describe, expect, it, vi } from \\\"vitest\\\";\\n+\\n+let dataDir: string;\\n+\\n+async function loadRouteModule() {\\n+  vi.resetModules();\\n+  return import(\\\"./route\\\");\\n+}\\n+\\n+beforeEach(async () => {\\n+  dataDir = await mkdtemp(path.join(os.tmpdir(), \\\"codexscope-cli-auth-route-\\\"));\\n+  process.env.CODEXSCOPE_DATA_DIR = dataDir;\\n+});\\n+\\n+afterEach(async () => {\\n+  delete process.env.CODEXSCOPE_DATA_DIR;\\n+  delete process.env.NEXT_PUBLIC_APP_URL;\\n+  vi.restoreAllMocks();\\n+  await rm(dataDir, { recursive: true, force: true });\\n+});\\n+\\n+describe(\\\"POST /api/auth/cli/start\\\", () => {\\n+  it(\\\"uses forwarded headers for the verification URL\\\", async () => {\\n+    const { POST } = await loadRouteModule();\\n+\\n+    const response = await POST(\\n+      new Request(\\\"http://0.0.0.0:3000/api/auth/cli/start\\\", {\\n+        method: \\\"POST\\\",\\n+        headers: {\\n+          \\\"content-type\\\": \\\"application/json\\\",\\n+          \\\"x-forwarded-host\\\": \\\"app.codexscope.dev\\\",\\n+          \\\"x-forwarded-proto\\\": \\\"https\\\",\\n+        },\\n+        body: JSON.stringify({ mode: \\\"browser\\\" }),\\n+      }),\\n+    );\\n+    const payload = (await response.json()) as {\\n+      ok: boolean;\\n+      verificationUri: string;\\n+      verificationUriComplete: string;\\n+    };\\n+\\n+    expect(payload.ok).toBe(true);\\n+    expect(payload.verificationUri).toBe(\\\"https://app.codexscope.dev/cli-auth\\\");\\n+    expect(payload.verificationUriComplete).toMatch(\\n+      /^https:\\\\/\\\\/app\\\\.codexscope\\\\.dev\\\\/cli-auth\\\\?request=.*&code=.*$/,\\n+    );\\n+  });\\n+\\n+  it(\\\"prefers NEXT_PUBLIC_APP_URL over the proxy request origin\\\", async () => {\\n+    process.env.NEXT_PUBLIC_APP_URL = \\\"https://public.codexscope.dev/\\\";\\n+    const { POST } = await loadRouteModule();\\n+\\n+    const response = await POST(\\n+      new Request(\\\"http://0.0.0.0:3000/api/auth/cli/start\\\", {\\n+        method: \\\"POST\\\",\\n+        headers: {\\n+          \\\"content-type\\\": \\\"application/json\\\",\\n+          \\\"x-forwarded-host\\\": \\\"internal-proxy:3000\\\",\\n+          \\\"x-forwarded-proto\\\": \\\"http\\\",\\n+        },\\n+        body: JSON.stringify({ mode: \\\"device\\\" }),\\n+      }),\\n+    );\\n+    const payload = (await response.json()) as {\\n+      verificationUri: string;\\n+      verificationUriComplete: string;\\n+    };\\n+\\n+    expect(payload.verificationUri).toBe(\\\"https://public.codexscope.dev/cli-auth\\\");\\n+    expect(payload.verificationUriComplete).toContain(\\\"https://public.codexscope.dev/cli-auth?\\\");\\n+  });\\n+});\\n*** End Patch\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_6BRx3QbCmmCsAbvIDoWFF8fx"}}
{"timestamp":"2026-03-13T21:41:59.262Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"Warning: apply_patch was requested via shell. Use the apply_patch tool instead of exec_command."}]}}
{"timestamp":"2026-03-13T21:41:59.263Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":309495,"cached_input_tokens":290048,"output_tokens":5347,"reasoning_output_tokens":2645,"total_tokens":314842},"last_token_usage":{"input_tokens":25636,"cached_input_tokens":25472,"output_tokens":1409,"reasoning_output_tokens":33,"total_tokens":27045},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:41:59.316Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_6BRx3QbCmmCsAbvIDoWFF8fx","output":"{\"output\":\"Success. Updated the following files:\\nA apps/web/app/api/auth/cli/start/route.test.ts\\nM apps/web/app/api/auth/cli/start/route.ts\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:41:59.336Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:41:59.913Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":309495,"cached_input_tokens":290048,"output_tokens":5347,"reasoning_output_tokens":2645,"total_tokens":314842},"last_token_usage":{"input_tokens":25636,"cached_input_tokens":25472,"output_tokens":1409,"reasoning_output_tokens":33,"total_tokens":27045},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:42:04.027Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Clarifying usage of tools**\n\nI’ve noticed the developer mentioned using the apply_patch tool. I'm a little unclear since it says to use the apply_patch shell command, but there seems to be no distinct apply_patch tool—just shell. The warning from the system indicates I should use the tool, so I’ll proceed with that in mind. I think running relevant tests is a good idea, and I’ll consider checking for anything with the NextResponse in route.ts before doing targeted tests."}}
{"timestamp":"2026-03-13T21:42:04.028Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Clarifying usage of tools**\n\nI’ve noticed the developer mentioned using the apply_patch tool. I'm a little unclear since it says to use the apply_patch shell command, but there seems to be no distinct apply_patch tool—just shell. The warning from the system indicates I should use the tool, so I’ll proceed with that in mind. I think running relevant tests is a good idea, and I’ll consider checking for anything with the NextResponse in route.ts before doing targeted tests."}],"content":null,"encrypted_content":"gAAAAABptISrP00P5fdo-tB55fyqyNzla08x63IAo4HC5n5JwH3Hq0dgURy6TBwOUG_3wwee-4dBizuwvf4QTAK8OumHUuqb8xzEokDZhkkxWXXV80hHJUXUgK-HT_C1bCQ1g5t7F6GfStFw4B2xR_Yi6eMDBfdgxYzCe0tCxEqyuHtKeAtoitDLlcS3Nvltfc_2T8sk46Tz7uwkdBWlp1f2m6Cd8t4YdYmoEy050SnSZANaFU4WWzloiRK-ncQfNtpQ7DuULqqqr75-I_LXcGpPVQKTpNB-P2RLH3L7dS4vKH0dfehLdC3q1DUxbQX2NM4NWqz_W4BzDhZkU9NBlrGce7vkL_wd_b6gi02P6Hk7u_buu9cIurHzEXMp1gUMsWB-aeVNX1ypA0uyOMVha1McmhIS6WyQ46EULOpgDMFPIb2vdpf3n6A8kgrM5r8lN0H3hDQRG2zaXFZaetGt7Z2wust2_V1opE5NE_PfkrzHb1R7ouIJaM94HIG4cE-O0JNHPPKPljcXHATQBvDVws0zFEiiuMF3mNXGPoJ0NAMf2XJpNMMbgPGvb6kFL8utN8Y4ExbRVWwPcHbRpfp8rgibLaWaY4__G9v8NVssUpJwaxmosZuKv8xSjXCFu03bUYU9H9Sqc4Qu7eGdlVVVB9h2rxLoTzL8Sms7RHihbiu3AhKkNT39mZImZj2IzPtNgRckHW2-Q2kEOq3aJku7yGFsBPpaNZkJiNJEb6KraUBNlkQCgSy6tiobSZN-yaQLissogQba9BFXKDNNz2lNwlasvrvuL7BnVmJgGvOn4WA_5H9vp9mFgAZAxIdPIoyy1gw75LZaG8cCegpqvK4h0lSFvHPeGrrW0c70wWvh9VQXtPoC5-zRIsUBFzu1EoGeHanBGJTFR1cB315nd7jq1tN-Eq2pZ1rP7XsCV8eepDlK4B3yqbaVNEJCJgZJE-DBhVGTmFiyOXkMe7GEKkQmHl3cJKL3eSsoD-gQj1dGp_NGvhugMiTM7J7rSxl_5OC3Gcw1m2yDZHKXC3ugj9qXoFDIexeofBHMffGjkG5iBKCk-mBrEfSu6TU2wgbP8PUv7_RARp4YmLM9mfiuKycfK7GJG8A9gpk_ogNxjtrM1jqAaYugKqzs9boy9JrbDkevGNV_hYy4P-oh4M4sF7QtE9k3PLi-f-uvlhkdh7EAAYDZrSWz_ScrpSY4DcqFB0JgH9pUjcbyHv1Iq3n3jul-xckj4fdybBdDgmAo1N2QB7e-g4dOId-4lJH96m4lobx-1n2Lo5qqx00R0tI9hbV--05-O6KsyEl2n5CiPrT9MVKuVBZDy44gUfJd76bXNxA0Url7Jczho6tEbJsET9_gQfcUXIuqdMyUtQ9rGq8ogG3E-UwDcMrK7PYu8BQ37rb9Yu49Mq4JlPsp04amgSWOoiegu4AkoN_u947AfbyiJLq2lhNEzN8NqHv4UEq-DFPJ6ISHCxSbddpkWz6BbijMatrPWq3ZzGIMHWfRJaZez1fiLupnjYhuErALzSMN3o5He2i3UZ6qR7QW"}}
{"timestamp":"2026-03-13T21:42:04.235Z","type":"response_item","payload":{"type":"function_call","name":"update_plan","arguments":"{\"plan\":[{\"step\":\"Locate auth start route\",\"status\":\"completed\"},{\"step\":\"Identify public origin source\",\"status\":\"completed\"},{\"step\":\"Patch route and tests\",\"status\":\"completed\"},{\"step\":\"Run relevant test suite\",\"status\":\"in_progress\"}]}","call_id":"call_yZXAdlU4JDlYIRs8VfRkyI5X"}}
{"timestamp":"2026-03-13T21:42:04.238Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":336626,"cached_input_tokens":316928,"output_tokens":5516,"reasoning_output_tokens":2749,"total_tokens":342142},"last_token_usage":{"input_tokens":27131,"cached_input_tokens":26880,"output_tokens":169,"reasoning_output_tokens":104,"total_tokens":27300},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:42:04.238Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_yZXAdlU4JDlYIRs8VfRkyI5X","output":"Plan updated"}}
{"timestamp":"2026-03-13T21:42:04.283Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:42:04.872Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":336626,"cached_input_tokens":316928,"output_tokens":5516,"reasoning_output_tokens":2749,"total_tokens":342142},"last_token_usage":{"input_tokens":27131,"cached_input_tokens":26880,"output_tokens":169,"reasoning_output_tokens":104,"total_tokens":27300},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:42:09.883Z","type":"event_msg","payload":{"type":"agent_message","message":"Route and tests are in place. I’m running the focused web tests now."}}
{"timestamp":"2026-03-13T21:42:09.884Z","type":"response_item","payload":{"type":"message","role":"assistant","content":[{"type":"output_text","text":"Route and tests are in place. I’m running the focused web tests now."}]}}
{"timestamp":"2026-03-13T21:42:10.842Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"pnpm --filter @codexscope/web test -- lib/auth.test.ts app/api/auth/cli/start/route.test.ts\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":120000}","call_id":"call_cr7PJjqEd56CRyD3GHmq0Gem"}}
{"timestamp":"2026-03-13T21:42:10.849Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":363939,"cached_input_tokens":344064,"output_tokens":5608,"reasoning_output_tokens":2749,"total_tokens":369547},"last_token_usage":{"input_tokens":27313,"cached_input_tokens":27136,"output_tokens":92,"reasoning_output_tokens":0,"total_tokens":27405},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":2.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:42:12.972Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_cr7PJjqEd56CRyD3GHmq0Gem","output":"{\"output\":\"Total output lines: 169\\n\\n\\n> @codexscope/[email protected] test /Users/admin/dev/codexscope-dogfood-auth/apps/web\\n> vitest run -- lib/auth.test.ts app/api/auth/cli/start/route.test.ts\\n\\n\\n RUN  v3.2.4 /Users/admin/dev/codexscope-dogfood-auth/apps/web\\n\\n ✓ lib/auth.test.ts (2 tests) 26ms\\n ✓ app/api/auth/cli/start/route.test.ts (2 tests) 51ms\\n ❯ lib/domain.test.ts (34 tests | 34 failed) 283ms\\n   × domain replay assembly > assembles a PR replay from an ingested session and exact commit attribution 13ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > marks seeded demo PR replays as demo evidence instead of live workflow proof 11ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > renders a GitHub summary markdown block with a deep link 9ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > builds GitHub artifact links for commits, files, and hunks 8ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > builds file-level impact entries from replay sessions and attributions 8ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > builds hunk-level impact from a standalone local patch when no PR diff exists 8ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > builds hunk-level impact from inline apply_patch proof when no git patch was captured 9ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > builds a compact replay checkpoint path from read and edit proof 8ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > derives a plan checkpoint from reasoning text when older replays lack explicit checkpoint metadata 8ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > does not promote generic planning chatter into the top replay path 8ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > adds PR validation and linkage checkpoints for GitHub-backed replays 8ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > infers medium attribution from branch and file overlap when no exact commit match exists 10ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > matches PR hunks to the session patch that actually changed them 11ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > builds authoring clusters from notify fallback events when tool calls are missing 10ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > promotes local git patch proof into a direct authoring cluster when no tool event was captured 9ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > treats a generic tool call as authoring when linked output proves which file was updated 8ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > treats linked tool output as direct proof when the tool call metadata is preserved 7ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n   × domain replay assembly > does not emit a second cluster for tool output already attached to a tool call 7ms\\n     → Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may …8673 chars truncated… captured request and action evidence\\n FAIL  lib/domain.test.ts > domain replay assembly > groups the replay into reviewer phases\\n FAIL  lib/domain.test.ts > domain replay assembly > filters harness prompts from the reviewer timeline\\n FAIL  lib/domain.test.ts > domain replay assembly > builds a key timeline that prefers proof-backed checkpoints over chatter\\n FAIL  lib/domain.test.ts > domain replay assembly > merges adjacent author checkpoints into one multi-file edit step\\n FAIL  lib/domain.test.ts > domain replay assembly > merges adjacent author events in the key timeline for multi-file edits\\n FAIL  lib/domain.test.ts > domain replay assembly > collapses larger adjacent author runs into one summarized multi-file step\\n FAIL  lib/domain.test.ts > domain replay assembly > summarizes the author phase with the edit checkpoint when read and edit steps are both present\\n FAIL  lib/domain.test.ts > domain replay assembly > compacts replay checkpoints so repeated rereads do not pollute the proof path\\n FAIL  lib/domain.test.ts > domain replay assembly > does not create a validate phase for ordinary assistant checking language\\n FAIL  lib/domain.test.ts > domain replay assembly > does not classify edit commands on *.test.ts files as validation\\n FAIL  lib/domain.test.ts > domain replay assembly > keeps standalone attribution weak when the session did not create a commit\\n FAIL  lib/domain.test.ts > domain replay assembly > uses a compact standalone replay title while preserving the full task intent\\n FAIL  lib/domain.test.ts > domain replay assembly > dedupes standalone hunks when git patch and inline patch proof describe the same change\\n FAIL  lib/domain.test.ts > domain replay assembly > sanitizes noisy standalone checkpoint titles and replay proof summaries\\n FAIL  lib/domain.test.ts > domain replay assembly > dedupes similar standalone replay cards and phrases them as local review artifacts\\n FAIL  lib/github.test.ts > GitHub App install loop > derives the install URL from the authenticated app when the slug env is missing\\n FAIL  lib/github.test.ts > GitHub App install loop > does not treat the slug env as required admin configuration\\n FAIL  lib/github.test.ts > GitHub App install loop > can bootstrap runtime GitHub App config from the manifest flow without env credentials\\n FAIL  lib/github.test.ts > GitHub App install loop > does not include installation lifecycle events in the GitHub App manifest\\n FAIL  lib/github.test.ts > GitHub App install loop > syncs an installation from GitHub and stores connected repositories\\n FAIL  lib/github.test.ts > GitHub App install loop > updates repository membership from installation_repositories events\\n FAIL  lib/github.test.ts > GitHub App install loop > updates the existing summary comment instead of posting a duplicate\\n FAIL  lib/github.test.ts > GitHub App install loop > fails gracefully when no installation is available for comment sync\\nError: Failed to resolve entry for package \\\"@codexscope/shared\\\". The package may have incorrect main/module/exports specified in its package.json.\\n  Plugin: vite:import-analysis\\n  File: /Users/admin/dev/codexscope-dogfood-auth/apps/web/lib/domain.ts:23:7\\n  14 |    sessionIngestPayloadSchema,\\n  15 |    strongestAttribution\\n  16 |  } from \\\"@codexscope/shared\\\";\\n     |          ^\\n  17 |  import {\\n  18 |    getPullRequest,\\n ❯ packageEntryFailure ../../node_modules/.pnpm/[email protected]_@[email protected][email protected]/node_modules/vite/dist/node/chunks/config.js:32816:32\\n ❯ resolvePackageEntry ../../node_modules/.pnpm/[email protected]_@[email protected][email protected]/node_modules/vite/dist/node/chunks/config.js:32813:2\\n ❯ tryNodeResolve ../../node_modules/.pnpm/[email protected]_@[email protected][email protected]/node_modules/vite/dist/node/chunks/config.js:32716:70\\n ❯ ResolveIdContext.handler ../../node_modules/.pnpm/[email protected]_@[email protected][email protected]/node_modules/vite/dist/node/chunks/config.js:32555:16\\n ❯ EnvironmentPluginContainer.resolveId ../../node_modules/.pnpm/[email protected]_@[email protected][email protected]/node_modules/vite/dist/node/chunks/config.js:28717:56\\n ❯ TransformPluginContext.resolve ../../node_modules/.pnpm/[email protected]_@[email protected][email protected]/node_modules/vite/dist/node/chunks/config.js:28929:13\\n ❯ normalizeUrl ../../node_modules/.pnpm/[email protected]_@[email protected][email protected]/node_modules/vite/dist/node/chunks/config.js:27111:22\\n ❯ ../../node_modules/.pnpm/[email protected]_@[email protected][email protected]/node_modules/vite/dist/node/chunks/config.js:27177:32\\n\\n⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯[1/42]⎯\\n\\n\\n Test Files  2 failed | 2 passed (4)\\n      Tests  42 failed | 4 passed (46)\\n   Start at  14:42:11\\n   Duration  1.52s (transform 215ms, setup 0ms, collect 249ms, tests 1.65s, environment 0ms, prepare 159ms)\\n\\n/Users/admin/dev/codexscope-dogfood-auth/apps/web:\\n ERR_PNPM_RECURSIVE_RUN_FIRST_FAIL  @codexscope/[email protected] test: `vitest run -- lib/auth.test.ts app/api/auth/cli/start/route.test.ts`\\nExit status 1\\n\",\"metadata\":{\"exit_code\":1,\"duration_seconds\":2.1}}"}}
{"timestamp":"2026-03-13T21:42:12.993Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:42:13.504Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":363939,"cached_input_tokens":344064,"output_tokens":5608,"reasoning_output_tokens":2749,"total_tokens":369547},"last_token_usage":{"input_tokens":27313,"cached_input_tokens":27136,"output_tokens":92,"reasoning_output_tokens":0,"total_tokens":27405},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":3.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:42:21.576Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Running targeted tests**\n\nI think I need to address some potential failures due to the root script lacking configuration. However, I can still run some direct tests, which might help if extra tests are needed. The user wants relevant tests, so I'll focus on running those targeted tests directly. I can use the command `pnpm --filter @codexscope/web exec vitest run lib/auth.test.ts app/api/auth/cli/start/route.test.ts` to get started. Let’s give that a go!"}}
{"timestamp":"2026-03-13T21:42:21.577Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Running targeted tests**\n\nI think I need to address some potential failures due to the root script lacking configuration. However, I can still run some direct tests, which might help if extra tests are needed. The user wants relevant tests, so I'll focus on running those targeted tests directly. I can use the command `pnpm --filter @codexscope/web exec vitest run lib/auth.test.ts app/api/auth/cli/start/route.test.ts` to get started. Let’s give that a go!"}],"content":null,"encrypted_content":"gAAAAABptIS9AwWyD75kHvoWpA7RAeixJyJ3WwQbMK3yO5_wCxHsS_j_faj3hvsqjLE4Nq3U2VsUjs8HOvIqg5qFJoMPtSwjByBo6aKy3f7YdFMNgR8i2kj_LOrBOgVuEGNmdd7XVPfPsf0LqdXybqIaFiftswARS6weWD4zykHCzF16OYsBnxFZvsdLuYD8rlNRmMZFYKuDrrrdhTsDJGWJ0pjo2TTyxTuIlEl1UG3KY_eqMY_rqFZ4S6wlk0j0ZqM-3vib2f_Pw21s93WJa_ch1PEC3kav_ElFDuQXRbYHdkefh5_O4uJzZm0RoJP6QIhgilr06TOZwqW1CF9hkGgK0tc80Rl5FJWLN7Zh640FY4LlQVDt4zjCxR1TbOQd_4g6hEMOQc6jKoZdNU_TtCTtwpMrX_GYbMf9F7OO3mprA3oNam_MTFm9RiYZGRDY1DwEEGuf1AGS-PqXCXqXfoK_V8tj_gV_MCTzELCwE07KXdFaaW-jgsfI8l1esfllwFVOzpi9bRQOEvksNhTHCzky3TxTgmNhrZawFtqh9egqWN9SyGkeNwXNTte4fi_J07_wPruxGH1BdP8fRpwl_J5EN1EI3KtI00MOjwTWpfN1mvpwf5AJ4EGIXDUsjOyu6RwP5pwjuk3uYUDZv2FRQvbv2oG0TcKEotFWhI4k_YKkiSv1YtShVkMZbFbj_ENdSl0a3gEqZdWPbED5ZVJg2xiVvphWnbjT_Jb_j99_n7rh1vZG7-4uFJGR0RI0XMuKhJ6xgNN7hXOdcsij4O9Vp3eLGtBLnLKCGIwZuUUv4qefkVYUZi8jzHNCRUDs2aZMqUzUesEkslD1kTFihlOiyHCJ5n3KphmB09dqwsmNUOwDU9vHSR_sywbe4DcD3pP4922A7h_CTbHIQ58FwNiS7GdURX9P_ooKpVVzB_320f41cuXBLHypv-_-3GxvNXnzDuYAbEdIxPtYapbOkUnPHPkpH4A8HJvllrEic7U6FS3Ly6XTbCn3NW53JnZHlfuFAaH1WtcyOibhBSrSkvwEK6JGcGBmcxX7RHRkddadczH7264lBjXNOGuuID1wyimziZrRheHRY6M4M2RwGutmKktn0tluFRW5xUTvmHmlIlQB4dZcdQdVtcwoNLwnVufVIB69cm9dSgNdJSaGCOnErmSDTjMMimc1gUQiDkbsWXRzi2dxxm3sEiK0yNnSTZ7FFBAS9k_h_gG521_pY6G8XtWNAX8pM2Mz-xZnxXn7bWDec3r6lP44Br0BGnaikJiybNIE25IONST3BVv0zbrn5aeRnqDSG_ikl8jImdAAfelRZlKXDlvicfWU7gOUT28Kxina-dmuIYecNmnd---K_d8e-0voD0bcO5u5ZzL9Yc5P2Gqr__GjFiTwwdcm2KWzLcs22uWM_wlrrLvkau0SpDx7ZRDHxpOQF6jae0MKGEszMopqXPIuI1elKXjmFIrYa8DKRm5YeGkd4jZYhClWp0a4JUR9Kjwe7AJoelqpzAPpaZAANWAl9uW6Ho1MRexdNLHEqTkOLnClKoYPG-eLuIrxIGGFnpoKPE2SHpnzIpLJpV-xPca5CDJPciaB7nAh2xiIEeS1DG3GUdPxoomL8mUGcpiFGrd3EbLknCoO6toi81dg5Gh7CkiTvEfzgI4lQCZnJlG3xvgOXIBs6vgVz6d0qpMqZK_m39HF79BpyMxk7IMBM_OAmkBYGVItPiA0i_CBZ_Rm78yinTEFkRWaI5EjlPWG5gIpFRNe4_x1uxkmrJdblaOAq6vGvawRPsV2npLdxYtdujHh7coIECZr56IELwiP_RF4lODUFknxM83Wg4Y5Ju8yy4SPuVyqWMO_uw3kg8JZWs7jVHGjiPWxoByEGHP3XxQQd7nwlRNk0CFcHqmlJN5JRnpnpoQcKhc0ngOj2UvbhCObppOXz1l622x0elVPpJ3MNdaVGgwuZHJGGMGP183rJcyR2raK9ZYJV256JbopBmV4WfDushmNXAopW0XB-3zdPD-rilMfBHzC-UlzMLrS3Ij71ZClyvR75Gd_UaxmAGhL89UjxDyy_Qqk-5ZDDl65ak055g6TPZO2aUSZntiUn7c47WMU2QH9X5eJBiG2Sd9yfUp4Oir9RrORSrFKJxa28Tz9BQbhhFteA4kg3tTEVdGyVXf6XeYjEL_RiM5bWsiPsKJa5h-UejnS39icg7wLoRkWwbYcXTKt8Ds6ZnTw-lEHssRWYfz9GcnGnEZIlWHtCZ0kY1HjHyLtr_0gu4JIEv1HbdGOBBbnjs74Fkup26LHEEGpSep3EDWilDREsCDkp4JWNZbTpk7nBlUfwBTrMIfGYvX68vGNmC9WxgUb5j96vc9pY1h74029PGgp6fR7paxR_LvavbiICv8VOnrmgHRq2YWmhtib8uwCTBp6o4Exc85DawOat-sQ3jOZ54anBtL6IQf5V6TmNB15rQV67_6RLVYfaiWnw7C6D83kkbmjHvz2CCam47-lWHdAFLhIKphuYm869v8IFdbqTJuYvTLsM5uva68OrqwjpAF7g2un-wurQ2nVkv_1jH1CKhqjafiwClw6bjeS8Ws58PeQuSgTgjiflS80fF45ZxE3oGwHZD_6LNSUDRmLYDtNHKTiNN496Plez1BPSjcw2Da_geTeefahUank8_-kdslUXR8bhXqjAt446RhGqcMcTaJ91uOVmit37J_VUonVQsZAcMRjSYSmhrncSRCeQnZe6r6GRa8Vz8mxNkRn9yDJ6Aw_FGlrv6XfD3rATaTPdmemdCqNF-Lo4UYcng07b4i3iqe4poHrPCgXkawBqUGrgJ9xI-cS3buPp8VsV4yJw18X6LxBQo4aUcmoab8HuaxJLB5WzN8PPuYyJfHgAH1zybasbluQV5lqkEcOlzHc7zxPg4yXWCILFzOjRCGWziGNtS4ayZ3DIa6lpcz9cYiR6rkKKcX3dD7yEGJdgyVWny2Zcrs4YG2RUmDCTHW0hz5dBztjHPB8gvYHTJkkIIr_5CNik_ap_oqiN2iUokFc687GUC29UOjPk3iNataXRlRAy4rzTO7pwTzWIghWtdRzH0rFSmOugpzhG9KQ6q3b-m3OeHfIjL1VsfRQfdW74LY6C4Aa9PWAUI2uuLuqwZp6efLW"}}
{"timestamp":"2026-03-13T21:42:21.608Z","type":"event_msg","payload":{"type":"agent_message","message":"The patch looks good; the first test run pulled in unrelated web tests. I’m rerunning only the targeted files."}}
{"timestamp":"2026-03-13T21:42:21.608Z","type":"response_item","payload":{"type":"message","role":"assistant","content":[{"type":"output_text","text":"The patch looks good; the first test run pulled in unrelated web tests. I’m rerunning only the targeted files."}]}}
{"timestamp":"2026-03-13T21:42:21.823Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"pnpm --filter @codexscope/web exec vitest run lib/auth.test.ts app/api/auth/cli/start/route.test.ts\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":120000}","call_id":"call_a9OGrU5ThA0YyYeU6fBFNx5G"}}
{"timestamp":"2026-03-13T21:42:21.830Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":393853,"cached_input_tokens":371328,"output_tokens":6035,"reasoning_output_tokens":3072,"total_tokens":399888},"last_token_usage":{"input_tokens":29914,"cached_input_tokens":27264,"output_tokens":427,"reasoning_output_tokens":323,"total_tokens":30341},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":3.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:42:22.539Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_a9OGrU5ThA0YyYeU6fBFNx5G","output":"{\"output\":\"\\n RUN  v3.2.4 /Users/admin/dev/codexscope-dogfood-auth/apps/web\\n\\n ✓ lib/auth.test.ts (2 tests) 23ms\\n ✓ app/api/auth/cli/start/route.test.ts (2 tests) 41ms\\n\\n Test Files  2 passed (2)\\n      Tests  4 passed (4)\\n   Start at  14:42:22\\n   Duration  220ms (transform 40ms, setup 0ms, collect 38ms, tests 64ms, environment 0ms, prepare 76ms)\\n\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.7}}"}}
{"timestamp":"2026-03-13T21:42:22.565Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:42:22.963Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":393853,"cached_input_tokens":371328,"output_tokens":6035,"reasoning_output_tokens":3072,"total_tokens":399888},"last_token_usage":{"input_tokens":29914,"cached_input_tokens":27264,"output_tokens":427,"reasoning_output_tokens":323,"total_tokens":30341},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":3.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:42:27.787Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Considering type checks and compilation**\n\nI’m thinking about whether I need to run a type check. Since the changes are minimal, it might not be necessary, but I could still run a relevant type check. I could also consider running `pnpm --filter @codexscope/web exec tsc --noEmit` with the Next config. Perhaps just running tests is enough? It could make sense to compile the direct file. I definitely need to inspect the differences to be sure everything compiles correctly."}}
{"timestamp":"2026-03-13T21:42:27.788Z","type":"event_msg","payload":{"type":"agent_reasoning","text":"**Considering testing routes**\n\nI think I might need to run a route test to see if everything's working correctly. Using `git diff --stat` could help, but I'm not sure it's necessary right now. I also want to capture line numbers for my final references, so using `nl -ba` seems like a good approach. It looks like there's a lot to keep track of, but I'm here to make sure everything is clear!"}}
{"timestamp":"2026-03-13T21:42:27.788Z","type":"response_item","payload":{"type":"reasoning","summary":[{"type":"summary_text","text":"**Considering type checks and compilation**\n\nI’m thinking about whether I need to run a type check. Since the changes are minimal, it might not be necessary, but I could still run a relevant type check. I could also consider running `pnpm --filter @codexscope/web exec tsc --noEmit` with the Next config. Perhaps just running tests is enough? It could make sense to compile the direct file. I definitely need to inspect the differences to be sure everything compiles correctly."},{"type":"summary_text","text":"**Considering testing routes**\n\nI think I might need to run a route test to see if everything's working correctly. Using `git diff --stat` could help, but I'm not sure it's necessary right now. I also want to capture line numbers for my final references, so using `nl -ba` seems like a good approach. It looks like there's a lot to keep track of, but I'm here to make sure everything is clear!"}],"content":null,"encrypted_content":"gAAAAABptITD7xTTQ7KvfpKA_HbXDke6QjttWDhGQK0yeVrtTwSH9i3x5wPddVPYV50iIE_jrCnBQDjlcWPuzOLI4u1PRrxJrm8Ro7lp_uv-rFJmX9uU-KitDUjYwOidbANfsQc-lSdcA4H5pD9aO7tJhB3kG5lglG4uo-XoxUXLaSNNMaJXG0wK5Ld65Bs3sm18W5lvPcKvX1yTLjMn3Vg5EGLSvkOK6ce-7Cw3Hz-1uIP3_eWFfq1Ftm1kKBo7LKK3XwH0udVogGsOLFAJkG-ckQ-63PrSRBHFVGCyV0NLMhXBe2yuEgr4XI7WDWFc-P5HLzdzQIi2ieEqP9p1LDvM1i_g-VAjtX8h-EK3yXkiXMMe784GunE-5GQy4NDL5BuH6Nc3eGJjXRoJn6qWRdJDaHmBLxsrurEs37yqeqXXlEFUU0xkcG9MGtqVzHe3bBLLFrd9wTC4UiLxqgdnGU4uFBnN9yCNgK2FhvcGEBQn_PyrlxRBDqJyWxjophamF_HzR1jKtlBhOQHlADTkxyReqYKkBvSJxzLqz132tukHWsFvKHGkhW2QRgYW9WdHz1ySo3bvLJ0hCrtfL6CuCbF5z3P-gPBoQ1cW1ChTX-1GAC7ME3rFqf5GOPec1GazW2abDzo64ZMvUR57qLRFR4kKhrGXL-xpZNOwhEwOjUmCuuhBgihDDRW_5wJLvDm-Q0fo5qlWVBmAfe9oF5fyliu6MbsUAGbGzsjvxhisCrshuIZvXL_SgGpSMkIexXt5CxxAzTmLdkNmPu9kLFRxlaA3csWmZUPCG-Hzk0aJNmhJm66QJOc4-8iTMqWG-Tauzbtm6Mb7VXVXkCbvqOWOAaGziLAeGu_SfaHNtGy0mSZ5h6ErWquRYTusLuVWH_cd1-4I7oW_rPEirp4kmL5jLdNFdYsj_QeOHB8WtGIkxlzCwTVaYpShipMb85s5j1uv7QUI7c5gEGvMOs504aPPk86gmIE0D0HLNZgGTPJN2xu-CcOf-TpnDJQzps858KngC5peMR-8QRC8essgDj441ogkzFPdyEhVCo8eC2W1mAfxralmreBSF58UJMzHnDgBKs4g0fU0YlGkaw9O6N176uckrK2ij8NJknfVoByrIonppXm4STl2i0386IqSYYvZc_XsYLfnlS0sgAJoCX66da5a6dh9nsYO7gLwb-dxrHFU5hVq9Ns9BRutswbCLJ4XQi9hCAWQXNd85Jyh_EDyA3gFXFxxOBdywGzfL-RYVXfzjJmLAM8vaZuBlHZigcMOrlrIjNYFGFSDxmzu3D-hycykFNrETSfeE5H--h05_LM27R1UwN7l0jk0brm80ejPtqtvYjS7hWvkbN9P7ozdfeBlQx3pfIZI_YpzLviss5czpjiiXh-qCxN00RE_EchVK4xT2yIl5B638PATIEu1K93Lao7MnMde6Z5nBjvY0gHyQ_9qBm6wBRC39Z_RlZr-yrAM4jhqO5VapvdBxob_UsiZLh5ep8yMNpWjwTPfk4yL3JfxPF8micLsjfTe0yHITsWzMTtERm5sUQbeCcbAVwPTGIVAfWppnKyzUWKgDRfwRfuVWgtfv00d0dTKMBMK35t1yKPtr3kEZZQarkyAbCBLEJj8GWZcFyEC-1nfb8eJf3V3b0ZLl3PC65WBz4vWczEt1knzSabVjmaIKizCyRhk7fttseXxsufvvIZ6TyU_GAteIk5qUDk0w_L-KOI7gSSwxTao9HhEhO9JT4Q0OfqNvZChRYaEHbcfP6lqOb7AhYAsGEtuYV5y3o0FSXTwgnLTEs9QN3-f1RMjhueDo2iowglY5308Q_vbAbsokN7chVK-l1JW6XO7xy4OSsvqdd9uP4EE1VedTB82sJSsbi-4r5bH0yweKTZbbJXw_6DfRxqSYaRc7xSszt3I0m9u-y3FHQ047Vo0djujLTwqfGThZOWQus9ZQIhKormgt74L7g4UfNAdRss="}}
{"timestamp":"2026-03-13T21:42:28.046Z","type":"response_item","payload":{"type":"function_call","name":"shell","arguments":"{\"command\":[\"bash\",\"-lc\",\"nl -ba apps/web/app/api/auth/cli/start/route.ts | sed -n '1,120p' && printf '\\\\n---\\\\n' && nl -ba apps/web/app/api/auth/cli/start/route.test.ts | sed -n '1,200p'\"],\"workdir\":\"/Users/admin/dev/codexscope-dogfood-auth\",\"timeout_ms\":10000}","call_id":"call_oJlEqvf7i7SGVoKNP8NT0IOf"}}
{"timestamp":"2026-03-13T21:42:28.055Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":424351,"cached_input_tokens":401536,"output_tokens":6267,"reasoning_output_tokens":3200,"total_tokens":430618},"last_token_usage":{"input_tokens":30498,"cached_input_tokens":30208,"output_tokens":232,"reasoning_output_tokens":128,"total_tokens":30730},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":3.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:42:28.067Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_oJlEqvf7i7SGVoKNP8NT0IOf","output":"{\"output\":\"     1\\timport { NextResponse } from \\\"next/server\\\";\\n     2\\t\\n     3\\timport { startCliAuth } from \\\"../../../../../lib/auth\\\";\\n     4\\t\\n     5\\tfunction firstHeaderValue(value: string | null): string | null {\\n     6\\t  if (!value) {\\n     7\\t    return null;\\n     8\\t  }\\n     9\\t\\n    10\\t  return value.split(\\\",\\\")[0]?.trim() || null;\\n    11\\t}\\n    12\\t\\n    13\\tfunction normalizeOrigin(origin: string): string {\\n    14\\t  return origin.replace(/\\\\/+$/, \\\"\\\");\\n    15\\t}\\n    16\\t\\n    17\\tfunction inferPublicOrigin(request: Request): string {\\n    18\\t  const configuredOrigin = normalizeOrigin(process.env.NEXT_PUBLIC_APP_URL ?? \\\"\\\");\\n    19\\t  if (configuredOrigin) {\\n    20\\t    return configuredOrigin;\\n    21\\t  }\\n    22\\t\\n    23\\t  const host =\\n    24\\t    firstHeaderValue(request.headers.get(\\\"x-forwarded-host\\\")) ??\\n    25\\t    firstHeaderValue(request.headers.get(\\\"host\\\"));\\n    26\\t  if (host) {\\n    27\\t    const proto =\\n    28\\t      firstHeaderValue(request.headers.get(\\\"x-forwarded-proto\\\")) ??\\n    29\\t      (host.startsWith(\\\"localhost\\\") || host.startsWith(\\\"127.0.0.1\\\") || host.startsWith(\\\"0.0.0.0\\\")\\n    30\\t        ? \\\"http\\\"\\n    31\\t        : \\\"https\\\");\\n    32\\t\\n    33\\t    return `${proto}://${host}`;\\n    34\\t  }\\n    35\\t\\n    36\\t  return new URL(request.url).origin;\\n    37\\t}\\n    38\\t\\n    39\\texport async function POST(request: Request) {\\n    40\\t  const payload = (await request.json().catch(() => ({}))) as {\\n    41\\t    mode?: \\\"browser\\\" | \\\"device\\\";\\n    42\\t    hostname?: string;\\n    43\\t    cwd?: string;\\n    44\\t    platform?: string;\\n    45\\t  };\\n    46\\t  const origin = inferPublicOrigin(request);\\n    47\\t  const result = await startCliAuth({\\n    48\\t    origin,\\n    49\\t    mode: payload.mode === \\\"device\\\" ? \\\"device\\\" : \\\"browser\\\",\\n    50\\t    hostname: payload.hostname ?? null,\\n    51\\t    cwd: payload.cwd ?? null,\\n    52\\t    platform: payload.platform ?? null,\\n    53\\t  });\\n    54\\t\\n    55\\t  return NextResponse.json({\\n    56\\t    ok: true,\\n    57\\t    ...result,\\n    58\\t  });\\n    59\\t}\\n\\n---\\n     1\\timport { mkdtemp, rm } from \\\"node:fs/promises\\\";\\n     2\\timport os from \\\"node:os\\\";\\n     3\\timport path from \\\"node:path\\\";\\n     4\\t\\n     5\\timport { afterEach, beforeEach, describe, expect, it, vi } from \\\"vitest\\\";\\n     6\\t\\n     7\\tlet dataDir: string;\\n     8\\t\\n     9\\tasync function loadRouteModule() {\\n    10\\t  vi.resetModules();\\n    11\\t  return import(\\\"./route\\\");\\n    12\\t}\\n    13\\t\\n    14\\tbeforeEach(async () => {\\n    15\\t  dataDir = await mkdtemp(path.join(os.tmpdir(), \\\"codexscope-cli-auth-route-\\\"));\\n    16\\t  process.env.CODEXSCOPE_DATA_DIR = dataDir;\\n    17\\t});\\n    18\\t\\n    19\\tafterEach(async () => {\\n    20\\t  delete process.env.CODEXSCOPE_DATA_DIR;\\n    21\\t  delete process.env.NEXT_PUBLIC_APP_URL;\\n    22\\t  vi.restoreAllMocks();\\n    23\\t  await rm(dataDir, { recursive: true, force: true });\\n    24\\t});\\n    25\\t\\n    26\\tdescribe(\\\"POST /api/auth/cli/start\\\", () => {\\n    27\\t  it(\\\"uses forwarded headers for the verification URL\\\", async () => {\\n    28\\t    const { POST } = await loadRouteModule();\\n    29\\t\\n    30\\t    const response = await POST(\\n    31\\t      new Request(\\\"http://0.0.0.0:3000/api/auth/cli/start\\\", {\\n    32\\t        method: \\\"POST\\\",\\n    33\\t        headers: {\\n    34\\t          \\\"content-type\\\": \\\"application/json\\\",\\n    35\\t          \\\"x-forwarded-host\\\": \\\"app.codexscope.dev\\\",\\n    36\\t          \\\"x-forwarded-proto\\\": \\\"https\\\",\\n    37\\t        },\\n    38\\t        body: JSON.stringify({ mode: \\\"browser\\\" }),\\n    39\\t      }),\\n    40\\t    );\\n    41\\t    const payload = (await response.json()) as {\\n    42\\t      ok: boolean;\\n    43\\t      verificationUri: string;\\n    44\\t      verificationUriComplete: string;\\n    45\\t    };\\n    46\\t\\n    47\\t    expect(payload.ok).toBe(true);\\n    48\\t    expect(payload.verificationUri).toBe(\\\"https://app.codexscope.dev/cli-auth\\\");\\n    49\\t    expect(payload.verificationUriComplete).toMatch(\\n    50\\t      /^https:\\\\/\\\\/app\\\\.codexscope\\\\.dev\\\\/cli-auth\\\\?request=.*&code=.*$/,\\n    51\\t    );\\n    52\\t  });\\n    53\\t\\n    54\\t  it(\\\"prefers NEXT_PUBLIC_APP_URL over the proxy request origin\\\", async () => {\\n    55\\t    process.env.NEXT_PUBLIC_APP_URL = \\\"https://public.codexscope.dev/\\\";\\n    56\\t    const { POST } = await loadRouteModule();\\n    57\\t\\n    58\\t    const response = await POST(\\n    59\\t      new Request(\\\"http://0.0.0.0:3000/api/auth/cli/start\\\", {\\n    60\\t        method: \\\"POST\\\",\\n    61\\t        headers: {\\n    62\\t          \\\"content-type\\\": \\\"application/json\\\",\\n    63\\t          \\\"x-forwarded-host\\\": \\\"internal-proxy:3000\\\",\\n    64\\t          \\\"x-forwarded-proto\\\": \\\"http\\\",\\n    65\\t        },\\n    66\\t        body: JSON.stringify({ mode: \\\"device\\\" }),\\n    67\\t      }),\\n    68\\t    );\\n    69\\t    const payload = (await response.json()) as {\\n    70\\t      verificationUri: string;\\n    71\\t      verificationUriComplete: string;\\n    72\\t    };\\n    73\\t\\n    74\\t    expect(payload.verificationUri).toBe(\\\"https://public.codexscope.dev/cli-auth\\\");\\n    75\\t    expect(payload.verificationUriComplete).toContain(\\\"https://public.codexscope.dev/cli-auth?\\\");\\n    76\\t  });\\n    77\\t});\\n\",\"metadata\":{\"exit_code\":0,\"duration_seconds\":0.0}}"}}
{"timestamp":"2026-03-13T21:42:28.098Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:42:28.749Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":424351,"cached_input_tokens":401536,"output_tokens":6267,"reasoning_output_tokens":3200,"total_tokens":430618},"last_token_usage":{"input_tokens":30498,"cached_input_tokens":30208,"output_tokens":232,"reasoning_output_tokens":128,"total_tokens":30730},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":3.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:42:29.437Z","type":"response_item","payload":{"type":"reasoning","summary":[],"content":null,"encrypted_content":"gAAAAABptITFjYn4Su0hoh9PqgZWwegnaDDia1AsXfeB7T-nlktyZibJNzhL4t_gcvovUfh3imjQTPv3kVSc7CGgE1CHMs9KYzUbrJHKC2MBg58Op75Zg4ZtaM4EDmpR53zA1mFFdS8jn5L31U5fQM6DIf0t4lwxWCumRRK8KM7EFhWbMxMs4XJIAUI1yZe9dEZNk3fcYwjQitLQXpkdmrxZJjFkR_W48zoaZjqQRjuwsU-EFGgOmMJ5kSRvnNtgIqii3O-7SFcUctbhGMmy0teY5xxpLpZJwICnbFGsLLPzPEn1OY7GpBU7ST_x5zzyrn4WaLOoZLqSbwYU60klsslSKHCwPKse61vw0l2S2VNmg_Jq5kbm5Fq3tqFuQXaDUqeyjQ5KebSEo2Akt1zX6b9LP9jHcGtSK46pXZWzqu75NeUKV6ebwLBoOKAbS6Niyu27gu-KFoYTnPIC4ak3ICzJbgdFijKUlwj6VjRZcdfB7vh2i3Y8KyfHgzDkY_QhDz90kt3QNN2kIgf1um7JlPZQhXyyt9P9qqZchuovTc61EFGl4vevAAstC4zCaeLxJ5riqOM9PSs2gumuzjROI9fG01pvguzQ-jporRjpGuXmQGhrghH5z7b645MOdbbdyKiot9Bj7hIMQjCFgxAKFuZwtNwQt16COQTx2eKAN4SCKSb1QEZhZVaX00BqSLeasLqVw8kGufPoCv7pIKqXJo10NrWYpNgLChEAknWyVDSzk0Ah8Xmfag_VMQQxWE4D1ixIy20rPWrxML7r8iKfDtEE3t0v4gyCYE85YFCW7FOV7i-LYTIapNNP_NTBBvzUaj9rrD1JWQhCLEQnTpW1xpTaUSXudfk2M8A6afGbI8trX6gaJ4i9AY6-itBSM6XrDhwH3bnl4UWQ"}}
{"timestamp":"2026-03-13T21:42:29.812Z","type":"response_item","payload":{"type":"function_call","name":"update_plan","arguments":"{\"plan\":[{\"step\":\"Locate auth start route\",\"status\":\"completed\"},{\"step\":\"Identify public origin source\",\"status\":\"completed\"},{\"step\":\"Patch route and tests\",\"status\":\"completed\"},{\"step\":\"Run relevant test suite\",\"status\":\"completed\"}]}","call_id":"call_GqehzcWDr1UW9i9mLmpl0oHn"}}
{"timestamp":"2026-03-13T21:42:29.814Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":456849,"cached_input_tokens":432128,"output_tokens":6342,"reasoning_output_tokens":3211,"total_tokens":463191},"last_token_usage":{"input_tokens":32498,"cached_input_tokens":30592,"output_tokens":75,"reasoning_output_tokens":11,"total_tokens":32573},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":3.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:42:29.814Z","type":"response_item","payload":{"type":"function_call_output","call_id":"call_GqehzcWDr1UW9i9mLmpl0oHn","output":"Plan updated"}}
{"timestamp":"2026-03-13T21:42:29.857Z","type":"turn_context","payload":{"cwd":"/Users/admin/dev/codexscope-dogfood-auth","approval_policy":"never","sandbox_policy":{"type":"danger-full-access"},"model":"gpt-5.4","effort":"xhigh","summary":"auto","user_instructions":"# Repository Guidelines\n\n## Product intent\nCodexScope is a developer-first SaaS for **Codex provenance**. The current v1 wedge is not generic AI observability; it is **review trust**. The product should help a reviewer open a GitHub PR and understand what Codex was trying to do, what it actually did, and whether the result is trustworthy.\n\n## Current repo shape\n- `apps/web`: Next.js app with the hosted replay UI plus ingestion and GitHub webhook routes\n- `packages/cli`: `codexscope` wrapper that launches Codex, captures local replay data, and uploads sessions\n- `packages/shared`: shared schemas, replay types, and heuristics used by both the web app and CLI\n\n## Build and run\n- `pnpm install`\n- `pnpm build`\n- `pnpm dev:web`\n- `pnpm --filter @codexscope/cli build`\n\nCLI usage:\n\n```bash\npackages/cli/dist/index.js login --url http://localhost:3000 --token dev-token\npackages/cli/dist/index.js run -- codex\n```\n\n## Guardrails\n- Keep GitHub as the **entrypoint**, not the source of truth.\n- Preserve the core replay order: `intent -> trust/risk -> raw trace`.\n- Prefer replay fidelity over enterprise controls for now.\n- Use `trust` for the user outcome, `provenance` for the product category, and `replay/traceability/explainability` for the mechanism.\n- Do not design around hidden/raw hosted chain-of-thought. Visible reasoning summaries and trajectory reconstruction are the supported model.\n- Interactive Codex sessions are in scope now. API-driven Codex can reuse the same graph model later.\n\n## PMF operating principles\n- Optimize for **quick time to value**. The homepage, CLI, and replay should get a developer to a concrete replay or next action fast.\n- Always show the user **what was captured** and **where to look next**. Silent background success is not enough for PMF.\n- Review the provenance of each request and action. If a request, proof link, action cluster, attribution, or receipt is not clearly grounded in captured evidence, improve it until the system is more trustworthy, explainable, verifiable, and auditable for future Codex work.\n- Keep the top-level proof path clickable and concrete. Every major trust claim should resolve to a phase, proof cluster, timeline step, transcript, PR, commit, or file with one click.\n- Keep the UI reviewer-oriented by default:\n  - summary and trust signal first\n  - reviewer phases second\n  - raw timeline and transcript after that\n- Keep the CLI equally explicit:\n  - say when capture starts\n  - say what was captured\n  - print the replay URL and linkage status after upload\n- Favor dense product value over generalized observability. If a change mostly improves internal telemetry plumbing without making replay, attribution, or trust clearer, it is probably the wrong next step.\n- Dogfood the product regularly. Fix the sharpest first-run or replay-understanding pain before expanding scope.\n\n## Communication rules\n- In the UI, prefer short concrete statements over platform language. Explain the system through `capture -> attribute -> review`, not through backend architecture.\n- In the CLI, communicate in terms of user value:\n  - intent\n  - validation/tests\n  - changed files\n  - replay location\n  - PR linkage\n- Avoid empty states that only describe absence. Every empty state should include the shortest path to value.\n\n## Near-term non-goals\n- Enterprise retention/redaction/audit controls\n- GitLab or multi-SCM support\n- GitHub-only provenance without the local collector\n- Management dashboards as the primary product surface\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: /Users/admin/.codex/skills/figma/SKILL.md)\n- figma-implement-design: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. (file: /Users/admin/.codex/skills/figma-implement-design/SKILL.md)\n- nova-act: Browser automation and UI workflow control using the Amazon Nova Act Python SDK (NovaAct). Use when you need to drive a real browser with natural-language steps (`act()`), extract structured data from pages (`act_get()` + JSON schema), or build repeatable web workflows that may require human-in-the-loop (HITL). Triggers: Amazon Nova Act, NovaAct, nova-act SDK, NOVA_ACT_API_KEY. (file: /Users/admin/.codex/skills/nova-act/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains. (file: /Users/admin/.codex/skills/openai-docs/SKILL.md)\n- pdf: Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. (file: /Users/admin/.codex/skills/pdf/SKILL.md)\n- playwright: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. (file: /Users/admin/.codex/skills/playwright/SKILL.md)\n- screenshot: Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed. (file: /Users/admin/.codex/skills/screenshot/SKILL.md)\n- spreadsheet: Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified. (file: /Users/admin/.codex/skills/spreadsheet/SKILL.md)\n- vercel-deploy: Deploy applications and websites to Vercel using the bundled `$CODEX_HOME/skills/vercel-deploy/scripts/deploy.sh` claimable-preview flow. Use when the user asks to deploy to Vercel, wants a preview URL, or says to push a project live on Vercel. (file: /Users/admin/.codex/skills/vercel-deploy/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /Users/admin/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /Users/admin/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.","truncation_policy":{"mode":"bytes","limit":10000}}}
{"timestamp":"2026-03-13T21:42:30.432Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":456849,"cached_input_tokens":432128,"output_tokens":6342,"reasoning_output_tokens":3211,"total_tokens":463191},"last_token_usage":{"input_tokens":32498,"cached_input_tokens":30592,"output_tokens":75,"reasoning_output_tokens":11,"total_tokens":32573},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":3.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}
{"timestamp":"2026-03-13T21:42:36.336Z","type":"response_item","payload":{"type":"reasoning","summary":[],"content":null,"encrypted_content":"gAAAAABptITMpnlSPWWGTCh_LszvZdxV130xojYzk3p1OGHJ-AaaJDAOVsdO9CYcnECk3SeTvUABhPbg1yV7mGCN1_4EvwjZhEFNpr3h6VgDk4R7Brub2WgVV98Wy9oYp6riuicOAraE5wEKLWEmxhkH8vw_JzgwuqUQsdndobB3IbbQVV3t51XFGbBbYoP9AHmlLNidcQRWfqQ5DSrkjQgdZEOdeI0sL8WNC5fFEbMqkK_cCQ5gCXRHPs78Xw_bDFvNtztcO7SSZiwl8xOsHMNb6FQraqjQYK6cZcB-fT7m6Cl_WJeu-8QJaWPwGR3niZ9Bzld5qyTdhbFrqAgpppo2muGWnbpSryx83rBjwCKZv_BYiQKAg9w4rsGzgyYQv7g8oydvkvti4TCVeEZhfKu2QhQNOcvmp-M29S4BIEUr71K7kbMe7N5qYj-LF8OAMF7SqeqU-xqDyUcwBoWtGoKI-EPH3iNGbdhJBXEYS7m1QkWSsLBAYmwPQQ9Dp1uHw0EzJBeQK1CFyc8OVgKK2D9ZshpnNz4tqSTknA-Mr_gbb4Xf9GsoGOSVQlLlNIt0e8Qkw9wPtX87v0w0i_quM254oo8c0OFeKbKp6P25oN8Q9jfYM1JwU64c1XGoPsRF--O-6CUQ2Cfsox_h9w8-if2qo2kSVonqIkRSNdUmYQJGK-7XBrkZlImkR9V8WS9NfJWuA-TId2nvthY7Kv9kFqOU-Vsvq9B4PlOunEnb2gkglSzbXutcWzCTQUSIw3ZBS66AoVORe3zewbj_JouPXFWDW3mFEZwnyjz7lbKfTPfDTqAA0I29l3YWJyvQW0CzQLqRCYdbjrK_vFX5zt0f3RGgLIAjutU8tZRBZ5qmQRsGdlniKiChNt4O88BavoDPdMq8R49HCuChAYaIgpDc2NewPKdMndzG2Kt-ludFwQqtdAOwJa4ZoO6x1rz0oT-5Xd00xOpP8tfOS8fBr--09XbA5LGNGv8vq-R46FbR9DvQl0bmfR95ycNQT_gm66hrRX_w2PIw3i4LDfdLzspGh1GHc3Jg5uzp5UQQd7k3vGlmcZM6rgeVSwjhlnPI8Nzcuhk3Yn4fCtl6mjlNqTUGjznY7FEo-2FDlX9PpAUoL4ZZEnzMMoYrgV2BcbP89Mz33zuuFILEGm0dNdHiLr8njq-wZZQ8BMqAoMAKof4kh16JqErFCc70UOgyl8aCDOWRG3gjih8tJF8RL3Py0dX1jMghVe28zdh_goAUgaVUQfgRKppWNb_uoY7yqjUMhv-CyQxSoIzFYJb3nR74QNL4IqBgMB0PBsJ4fwRWgrjRVMbojdSiWl96xN25ZhupMyJ0DBjPuekX0yBqvjJxYGMNu4K-FmU2PPF7qe29utJ5Xh6O2zzQwebdIdXp9oVmygjlOQ_FOd3dMoFEpOZCnniuDMkoPd74KeMKT3nANvYbRGCOZMGsxv80IWCC8Ih9DrF8VVBgOyQy_yIiC-Er78bsVvT668LW3qpnIxQbIJ1fAeFHCpEOKyvvG7Ox1N55tTUoF-5mHSzLS6hazKVBDLpMmZpqzFlES9T9WhmgdRc-hAWq24NTN8T0512b3P-wvbihWDP32D_4cltvmAxHZGa6xoQrPDUT87A0bO383rRMhDRAV1qt1OavOI0rI6C_imYSuJdbjkP4fG3TpBrJJ9JvHSs9ip4ar0dQKN_sgzj3WHqpcDt3rboEVwQ6EqQsS-f2HrbMdhFHA3r-XfD4JQoPAWR-rt4NHGzA1ExIpmThwwyeG37Sq5lo8HDmPSgvSHJ7yhEPi-dom17rLXSiDPX-aTWKUhHlfwZD2dZ1b7yyiJ10LXYhc1vQ3yTOeJWbxGs84BgEXsVQJTuQTbVaBrA5kA7tawitsH6uz2EthqbfaM0L-n_zpOckdIa17o-8ray4jwgPbUP28odL4eiXXWm6ViQwHgIrPk7l_HsVMDQmvJxbxpSZHNPjmgmoAoVKqIBklQAvCMP_Vh9PRevFUbrwRlEaxMzWehNIVwA8bX96LZcBrYuGHAF-KTK3vaGNLfbviSt5y372o5eIChmYlYeczwOjdXTvgmKjN1ADz3mQ-Mjty3EnRsxo1bICJETHWBQISsF1gFQrUby5pSSmDm-KKhjPBm9Rjl42Ky1X51qW5gJbhLzufzaXYCkTHwsXFvij6ldfttbEAVqHwTOXzr5b5Qde0tss_FECr-VBUE42-5BfQDifWNLer3Nw9UaYmcyB42E5jQkGVEhDKc2lNkpqZH_zZS--MThJoKTYlyTd5pi8mHhxSQ64r3P7XWa2z2RveKzNZnKJ5qPpPYL3E-pR_PAoOTD5aw7SA1Z1fPoX4MtFZHgk96h0M8zA-H-vNtOOKZFo1Bed3OF_qI4Y629Ecu8RVUQdaQYunsbxHTLxE_NuBZESvyGfEep5HOoVvpZ4JWlS-ZM-e82UM9kPmM2Ma7TS4-_p_ey8uzksRZ2T7vHhEHcnSVjJ--hGu6LOb5rDUAt-uJdowZSQd4lTLvAx4tJjSDxeaiAV5xkmN1ldJRB77u60i3UqqVGaFooE_TV3dyXV1Ufoqidcqsk3j0to2zILy5isjVf5FigfrL6LUn9vaSNSaFsMa9w4HdcssoCyhQow9e8wDz-HxQlPUOd616VtfaI3Jyld3zlo6ftRCFJSCa0LVxVIKHd22mrOJWtIb5zpnfUsmKp4CVIATk_sFyfy2znUISujbgG0KTmXje-x7o34Fw8hW9YnxXqoJoEMH9pDkZCMK54-P_j0byoZnqwjIItj3Fpzk5MQ3YRy3g1vXFpf2BvkHjy3CWLbpUmoHS4tcn6p5tm26fQSR7hiyQRPgc5ah6_dt4VIBHGLvEhemZF3Knd3XvJ403ACcQ9idVQL5amuCQX2aP7GnGD8bNUhdQKrBZSuBYyRg92CkoNgohszAAJzcB90rY6rvDGWFEhwsMf5iUkp8iIQfH_DqFwtchWQvbcY3Y194DaFmyu_eHIx_BZ6cKSfS3iedcXvA__xRPxqdaa-BoVZ8OLl7j_bt-9H7AeU-qJc6SSU63GKo4PihH3K7Woa4jGTBnSQhhMIofSql3Zswn1f5rke_xBlQK6x3fcWF_tWvrry69bvoO4IGPpsW3qvR587MPY-GEOnzvynZUjJ1jZkLJJNmSEidXG_4jB_rWy-xzL7jx5Q0xCeqaDYPeWjaxqPWULa8Pa3HG2AxOrz"}}
{"timestamp":"2026-03-13T21:42:38.221Z","type":"event_msg","payload":{"type":"agent_message","message":"**Updated**\n- Fixed the hosted CLI auth start route to derive the verification origin from `NEXT_PUBLIC_APP_URL` first, then `x-forwarded-host` / `x-forwarded-proto`, and only fall back to `request.url` as a last resort in `apps/web/app/api/auth/cli/start/route.ts:5`.\n- This prevents verification URLs from leaking internal proxy origins like `0.0.0.0:3000` when CodexScope is behind a reverse proxy.\n\n**Tests**\n- Added focused route coverage in `apps/web/app/api/auth/cli/start/route.test.ts:1`.\n- Verified forwarded-header origin handling.\n- Verified `NEXT_PUBLIC_APP_URL` takes precedence over proxy/internal request origins.\n\n**Ran**\n- `pnpm --filter @codexscope/web exec vitest run lib/auth.test.ts app/api/auth/cli/start/route.test.ts`\n\nIf you want, I can also run the broader web test suite after building `@codexscope/shared`."}}
{"timestamp":"2026-03-13T21:42:38.221Z","type":"response_item","payload":{"type":"message","role":"assistant","content":[{"type":"output_text","text":"**Updated**\n- Fixed the hosted CLI auth start route to derive the verification origin from `NEXT_PUBLIC_APP_URL` first, then `x-forwarded-host` / `x-forwarded-proto`, and only fall back to `request.url` as a last resort in `apps/web/app/api/auth/cli/start/route.ts:5`.\n- This prevents verification URLs from leaking internal proxy origins like `0.0.0.0:3000` when CodexScope is behind a reverse proxy.\n\n**Tests**\n- Added focused route coverage in `apps/web/app/api/auth/cli/start/route.test.ts:1`.\n- Verified forwarded-header origin handling.\n- Verified `NEXT_PUBLIC_APP_URL` takes precedence over proxy/internal request origins.\n\n**Ran**\n- `pnpm --filter @codexscope/web exec vitest run lib/auth.test.ts app/api/auth/cli/start/route.test.ts`\n\nIf you want, I can also run the broader web test suite after building `@codexscope/shared`."}]}}
{"timestamp":"2026-03-13T21:42:38.224Z","type":"event_msg","payload":{"type":"token_count","info":{"total_token_usage":{"input_tokens":489435,"cached_input_tokens":464512,"output_tokens":6934,"reasoning_output_tokens":3592,"total_tokens":496369},"last_token_usage":{"input_tokens":32586,"cached_input_tokens":32384,"output_tokens":592,"reasoning_output_tokens":381,"total_tokens":33178},"model_context_window":258400},"rate_limits":{"primary":{"used_percent":3.0,"window_minutes":300,"resets_at":1773444576},"secondary":{"used_percent":38.0,"window_minutes":10080,"resets_at":1773853327},"credits":{"has_credits":false,"unlimited":false,"balance":null},"plan_type":null}}}

Capture trail (local capture)

What happened after capture

Local capture state and any commit linkage captured so far.

StatusReady to open PRlocal capture

Commit links0not linked yet

Captured sessions1single request

This replay is still standalone, so the GitHub review trail has not started yet.

What we captured

Captured evidence

1 task prompt(s)
26 reasoning summary item(s)
23 tool call(s)
23 tool output event(s)
Raw transcript available

Provenance audit

Request grounded in 6 captured source type(s)
3 direct proof cluster(s)
0 mixed proof cluster(s)
0 inferred proof cluster(s)

Request provenance is grounded in user prompt, reasoning summary, raw transcript, notify hooks, OTEL export, local git patch.
3 action proof cluster(s) are direct from captured tool or structured live events.

Validate captured change

Solid local proof

Start at the authored lines.

Edit apps/web/app/api/auth/cli/start/route.test.ts, apps/web/app/api/auth/cli/start/route.ts

Open only the next proof you need.

Proof path

Edit apps/web/app/api/auth/cli/start/route.test.ts, apps/web/app/api/auth/cli/start/route.ts