Manual E2E Test

Test a PR/branch end-to-end by building the full platform, interacting via browser and API, capturing screenshots, and reporting results.

Critical Requirements

These are NON-NEGOTIABLE. Every test run MUST satisfy ALL the following:

1. Screenshots at Every Step

• Take a screenshot at EVERY significant test step — not just at the end
• Every test scenario MUST have at least one BEFORE and one AFTER screenshot
• Name screenshots sequentially: {NN}-{action}-{state}.png (e.g., 01-credits-before.png, 02-credits-after.png)
• If a screenshot is missing for a scenario, the test is INCOMPLETE — go back and take it

2. Screenshots MUST Be Posted to PR

• Push ALL screenshots to a temp branch test-screenshots/pr-{N}
• Post a PR comment with ALL screenshots embedded inline using GitHub raw URLs
• This is NOT optional — every test run MUST end with a PR comment containing screenshots
• If screenshot upload fails, retry. If it still fails, list failed files and require manual drag-and-drop/paste attachment in the PR comment

3. State Verification with Before/After Evidence

• For EVERY state-changing operation (API call, user action), capture the state BEFORE and AFTER
• Log the actual API response values (e.g., credits_before=100, credits_after=95)
• Screenshot MUST show the relevant UI state change
• Compare expected vs actual values explicitly — do not just eyeball it

4. Negative Test Cases Are Mandatory

• Test at least ONE negative case per feature (e.g., insufficient credits, invalid input, unauthorized access)
• Verify error messages are user-friendly and accurate
• Verify the system state did NOT change after a rejected operation

5. Test Report Must Include Full Evidence

Each test scenario in the report MUST have:

• Steps: What was done (exact commands or UI actions)
• Expected: What should happen
• Actual: What actually happened
• API Evidence: Before/after API response values for state-changing operations
• Screenshot Evidence: Before/after screenshots with explanations

State Manipulation for Realistic Testing

When testing features that depend on specific states (rate limits, credits, quotas):

1. Use Redis CLI to set counters directly:

   # Find the Redis container
   REDIS_CONTAINER=$(docker ps --format '{{.Names}}' | grep redis | head -1)
   # Set a key with expiry
   docker exec $REDIS_CONTAINER redis-cli SET key value EX ttl
   # Example: Set rate limit counter to near-limit
   docker exec $REDIS_CONTAINER redis-cli SET "rate_limit:user:$PR_TEST_USER_EMAIL" 99 EX 3600
   # Example: Check current value
   docker exec $REDIS_CONTAINER redis-cli GET "rate_limit:user:$PR_TEST_USER_EMAIL"
   

2. Use API calls to check before/after state:

   # BEFORE: Record current state
   BEFORE=$(curl -s -H "Authorization: Bearer $TOKEN" http://localhost:8006/api/credits | jq '.credits')
   echo "Credits BEFORE: $BEFORE"
   
   # Perform the action...
   
   # AFTER: Record new state and compare
   AFTER=$(curl -s -H "Authorization: Bearer $TOKEN" http://localhost:8006/api/credits | jq '.credits')
   echo "Credits AFTER: $AFTER"
   echo "Delta: $(( BEFORE - AFTER ))"
   

3. Take screenshots BEFORE and AFTER state changes — the UI must reflect the backend state change

4. Never rely on mocked/injected browser state — always use real backend state. Do NOT use agent-browser eval to fake UI state. The backend must be the source of truth.

5. Use direct DB queries when needed:

   # Query via Supabase's PostgREST or docker exec into the DB
   docker exec supabase-db psql -U supabase_admin -d postgres -c "SELECT credits FROM user_credits WHERE user_id = '...';"
   

6. After every API test, verify the state change actually persisted:

   # Example: After a credits purchase, verify DB matches API
   API_CREDITS=$(curl -s -H "Authorization: Bearer $TOKEN" http://localhost:8006/api/credits | jq '.credits')
   DB_CREDITS=$(docker exec supabase-db psql -U supabase_admin -d postgres -t -c "SELECT credits FROM user_credits WHERE user_id = '...';" | tr -d ' ')
   [ "$API_CREDITS" = "$DB_CREDITS" ] && echo "CONSISTENT" || echo "MISMATCH: API=$API_CREDITS DB=$DB_CREDITS"
   

Arguments

• $ARGUMENTS — worktree path (e.g. $REPO_ROOT) or PR number
• If --fix flag is present, auto-fix bugs found and push fixes (like pr-address loop)

Step 0: Resolve the target

# If argument is a PR number, find its worktree
gh pr view {N} --json headRefName --jq '.headRefName'
# If argument is a path, use it directly

Determine:

• REPO_ROOT — the root repo directory: git -C "$WORKTREE_PATH" worktree list | head -1 | awk '{print $1}' (or git rev-parse --show-toplevel if not a worktree)
• WORKTREE_PATH — the worktree directory
• PLATFORM_DIR — $WORKTREE_PATH/autogpt_platform
• BACKEND_DIR — $PLATFORM_DIR/backend
• FRONTEND_DIR — $PLATFORM_DIR/frontend
• PR_NUMBER — the PR number (from gh pr list --head $(git branch --show-current))
• PR_TITLE — the PR title, slugified (e.g. "Add copilot permissions" → "add-copilot-permissions")
• RESULTS_DIR — $REPO_ROOT/test-results/PR-{PR_NUMBER}-{slugified-title}

Create the results directory:

PR_NUMBER=$(cd $WORKTREE_PATH && gh pr list --head $(git branch --show-current) --repo Significant-Gravitas/AutoGPT --json number --jq '.[0].number')
PR_TITLE=$(cd $WORKTREE_PATH && gh pr list --head $(git branch --show-current) --repo Significant-Gravitas/AutoGPT --json title --jq '.[0].title' | tr '[:upper:]' '[:lower:]' | sed 's/[^a-z0-9]/-/g' | sed 's/--*/-/g' | sed 's/^-//;s/-$//' | head -c 50)
RESULTS_DIR="$REPO_ROOT/test-results/PR-${PR_NUMBER}-${PR_TITLE}"
mkdir -p $RESULTS_DIR

Test user credentials — required to log into the UI or call authenticated APIs.

NEVER hardcode these in this SKILL, a PR comment, a screenshot, or any committed file. Sources, in priority order:

1. Env vars (CI / preconfigured local shell): $PR_TEST_USER_EMAIL + $PR_TEST_USER_PASSWORD. If both are set, use them.
2. Interactive prompt (everything else, including dev-preview runs): if the env vars are not set, ASK the user at the start of the run — e.g. "I need test-user credentials for this run; paste the email and password." Hold them in shell vars only for the duration of the run. Do not echo, log, or write them to disk.

Acquire the variables — env first, prompt if missing — and only then lock them in:

# 1. Prefer env vars (CI / preconfigured shell). Prompt only for the
#    specific var that is unset so an already-exported credential is
#    not overwritten by the prompt when only the other one is missing.
if [ -z "${PR_TEST_USER_EMAIL:-}" ] || [ -z "${PR_TEST_USER_PASSWORD:-}" ]; then
  echo "Test user credentials required for this run."
  if [ -z "${PR_TEST_USER_EMAIL:-}" ]; then
    read -r -p   "Email:    " PR_TEST_USER_EMAIL
  fi
  if [ -z "${PR_TEST_USER_PASSWORD:-}" ]; then
    read -r -s -p "Password: " PR_TEST_USER_PASSWORD
    echo
  fi
  export PR_TEST_USER_EMAIL PR_TEST_USER_PASSWORD
fi

# 2. Lock them in — fail loudly if either is STILL unset (e.g. the user
#    pressed Enter on an empty prompt). The error message names the var so
#    the agent / operator knows what to fix.
: "${PR_TEST_USER_EMAIL:?PR_TEST_USER_EMAIL is empty after env+prompt — supply a value before re-running}"
: "${PR_TEST_USER_PASSWORD:?PR_TEST_USER_PASSWORD is empty after env+prompt — supply a value before re-running}"

For local docker-compose runs, a fresh dev user is created on first call to the signup snippet below. For dev-preview runs, the test user lives in the project's Supabase — ask the user for the current valid credentials each session (the previously-shared test@test.com test account was disabled on 2026-05-23 after its credentials leaked into this very SKILL — do NOT re-introduce a default).

Step 1: Understand the PR

Before testing, understand what changed:

cd $WORKTREE_PATH

# Read PR description to understand the WHY
gh pr view {N} --json body --jq '.body'

git log --oneline dev..HEAD | head -20
git diff dev --stat

Read the PR description (Why / What / How) and changed files to understand: 0. Why does this PR exist? What problem does it solve?

1. What feature/fix does this PR implement?
2. How does it work? What's the approach?
3. What components are affected? (backend, frontend, copilot, executor, etc.)
4. What are the key user-facing behaviors to test?

Step 2: Write test scenarios

Based on the PR analysis, write a test plan to $RESULTS_DIR/test-plan.md:

# Test Plan: PR #{N} — {title}

## Scenarios
1. [Scenario name] — [what to verify]
2. ...

## API Tests (if applicable)
1. [Endpoint] — [expected behavior]
   - Before state: [what to check before]
   - After state: [what to verify changed]

## UI Tests (if applicable)
1. [Page/component] — [interaction to test]
   - Screenshot before: [what to capture]
   - Screenshot after: [what to capture]

## Negative Tests (REQUIRED — at least one per feature)
1. [What should NOT happen] — [how to trigger it]
   - Expected error: [what error message/code]
   - State unchanged: [what to verify did NOT change]

Be critical — include edge cases, error paths, and security checks. Every scenario MUST specify what screenshots to take and what state to verify.

Step 3.0: Claim the testing lock (coordinate parallel agents)

Multiple worktrees share the same host — Docker infra (postgres, redis, clamav), app ports (3000/8006/…), and the test user. Two agents running /pr-test concurrently will corrupt each other's state (connection-pool exhaustion, port binds failing silently, cross-test assertions). Use the root-worktree lock file to take turns.

Lock file contract

Path (always the root worktree so all siblings see it): $REPO_ROOT/.ign.testing.lock

Body (one key=value per line):

holder=<pr-XXXXX-purpose>
pid=<pid-or-"self">
started=<iso8601>
heartbeat=<iso8601, updated every ~2 min>
worktree=<full path>
branch=<branch name>
intent=<one-line description + rough duration>

Claim

LOCK=$REPO_ROOT/.ign.testing.lock
NOW=$(date -u +%Y-%m-%dT%H:%MZ)
STALE_AFTER_MIN=5

if [ -f "$LOCK" ]; then
  HB=$(grep '^heartbeat=' "$LOCK" | cut -d= -f2)
  HB_EPOCH=$(date -j -f '%Y-%m-%dT%H:%MZ' "$HB" +%s 2>/dev/null || date -d "$HB" +%s 2>/dev/null || echo 0)
  AGE_MIN=$(( ( $(date -u +%s) - HB_EPOCH ) / 60 ))
  if [ "$AGE_MIN" -gt "$STALE_AFTER_MIN" ]; then
    echo "WARN: stale lock (${AGE_MIN}m old) — reclaiming"
    cat "$LOCK" | sed 's/^/  stale: /'
  else
    echo "Another agent holds the lock:"; cat "$LOCK"
    echo "Wait until released or resume after $((STALE_AFTER_MIN - AGE_MIN))m."
    exit 1
  fi
fi

cat > "$LOCK" <<EOF
holder=pr-${PR_NUMBER}-e2e
pid=self
started=$NOW
heartbeat=$NOW
worktree=$WORKTREE_PATH
branch=$(cd $WORKTREE_PATH && git branch --show-current)
intent=E2E test PR #${PR_NUMBER}, native mode, ~60min
EOF
echo "Lock claimed"

Heartbeat (MUST run in background during the whole test)

Without a heartbeat a crashed agent keeps the lock forever. Run this as a background process right after claim:

(while true; do
   sleep 120
   [ -f "$LOCK" ] || exit 0   # lock released → exit heartbeat
   perl -i -pe "s/^heartbeat=.*/heartbeat=$(date -u +%Y-%m-%dT%H:%MZ)/" "$LOCK"
 done) &
HEARTBEAT_PID=$!
echo "$HEARTBEAT_PID" > /tmp/pr-test-heartbeat.pid

Release (always — even on failure)

kill "$HEARTBEAT_PID" 2>/dev/null
rm -f "$LOCK" /tmp/pr-test-heartbeat.pid
echo "$(date -u +%Y-%m-%dT%H:%MZ) [pr-${PR_NUMBER}] released lock" \
    >> $REPO_ROOT/.ign.testing.log

Use a trap so release runs even on exit 1:

trap 'kill "$HEARTBEAT_PID" 2>/dev/null; rm -f "$LOCK"' EXIT INT TERM

Release the lock AS SOON AS the test run is done

The lock guards test execution, not app lifecycle. Once Step 5 (record results) and Step 6 (post PR comment) are complete, release the lock IMMEDIATELY — even if:

• The native poetry run app / pnpm dev processes are still running so the user can keep poking at the app manually.
• You're leaving docker containers up.
• You're tailing logs for a minute or two.

Keeping the lock held past the test run is the single most common way /pr-test stalls other agents. The app staying up is orthogonal to the lock; don't conflate them. Sibling worktrees running their own /pr-test will kill the stray processes and free the ports themselves (Step 3c/3e-native handle that) — they just need the lock file gone.

Concretely, the sequence at the end of every /pr-test run (success or failure) is:

# 1. Write the final report + post PR comment — done above in Step 5/6.
# 2. Release the lock right now, even if the app is still up.
kill "$HEARTBEAT_PID" 2>/dev/null
rm -f "$LOCK" /tmp/pr-test-heartbeat.pid
echo "$(date -u +%Y-%m-%dT%H:%MZ) [pr-${PR_NUMBER}] released lock (app may still be running)" \
    >> $REPO_ROOT/.ign.testing.log
# 3. Optionally leave the app running and note it so the user knows:
echo "Native stack still running on :3000 / :8006 for manual poking. Kill with:"
echo "  pkill -9 -f 'poetry run app'; pkill -9 -f 'next-server|next dev'"

If a sibling agent's /pr-test needs to take over, it'll do the kill+rebuild dance from Step 3c/3e-native on its own — your only job is to not hold the lock file past the end of your test.

Shared status log

$REPO_ROOT/.ign.testing.log is an append-only channel any agent can read/write. Use it for "I'm waiting", "I'm done, resources free", or post-run notes:

echo "$(date -u +%Y-%m-%dT%H:%MZ) [pr-${PR_NUMBER}] <message>" \
    >> $REPO_ROOT/.ign.testing.log

Step 3: Environment setup

3a. Copy .env files from the root worktree

The root worktree ($REPO_ROOT) has the canonical .env files with all API keys. Copy them to the target worktree:

# CRITICAL: .env files are NOT checked into git. They must be copied manually.
cp $REPO_ROOT/autogpt_platform/.env $PLATFORM_DIR/.env
cp $REPO_ROOT/autogpt_platform/backend/.env $BACKEND_DIR/.env
cp $REPO_ROOT/autogpt_platform/frontend/.env $FRONTEND_DIR/.env

3b. Configure copilot authentication

The copilot needs an LLM API to function. Two approaches (try subscription first):

Option 1: Subscription mode (preferred — uses your Claude Max/Pro subscription)

The claude_agent_sdk Python package bundles its own Claude CLI binary — no need to install @anthropic-ai/claude-code via npm. The backend auto-provisions credentials from environment variables on startup.

Run the helper script to extract tokens from your host and auto-update backend/.env (works on macOS, Linux, and Windows/WSL):

# Extracts OAuth tokens and writes CLAUDE_CODE_OAUTH_TOKEN + CLAUDE_CODE_REFRESH_TOKEN into .env
bash $BACKEND_DIR/scripts/refresh_claude_token.sh --env-file $BACKEND_DIR/.env

How it works: The script reads the OAuth token from:

• macOS: system keychain ("Claude Code-credentials")
• Linux/WSL: ~/.claude/.credentials.json
• Windows: %APPDATA%/claude/.credentials.json

It sets CLAUDE_CODE_OAUTH_TOKEN, CLAUDE_CODE_REFRESH_TOKEN, and CHAT_USE_CLAUDE_CODE_SUBSCRIPTION=true in the .env file. On container startup, the backend auto-provisions ~/.claude/.credentials.json inside the container from these env vars. The SDK's bundled CLI then authenticates using that file. No claude login, no npm install needed.

Note: The OAuth token expires (~24h). If copilot returns auth errors, re-run the script and restart: $BACKEND_DIR/scripts/refresh_claude_token.sh --env-file $BACKEND_DIR/.env && docker compose up -d copilot_executor

Option 2: OpenRouter API key mode (fallback)

If subscription mode doesn't work, switch to API key mode using OpenRouter:

# In $BACKEND_DIR/.env, ensure these are set:
CHAT_USE_CLAUDE_CODE_SUBSCRIPTION=false
CHAT_API_KEY=<value of OPEN_ROUTER_API_KEY from the same .env>
CHAT_BASE_URL=https://openrouter.ai/api/v1
CHAT_USE_CLAUDE_AGENT_SDK=true

Use sed to update these values:

ORKEY=$(grep "^OPEN_ROUTER_API_KEY=" $BACKEND_DIR/.env | cut -d= -f2)
[ -n "$ORKEY" ] || { echo "ERROR: OPEN_ROUTER_API_KEY is missing in $BACKEND_DIR/.env"; exit 1; }
perl -i -pe 's/CHAT_USE_CLAUDE_CODE_SUBSCRIPTION=true/CHAT_USE_CLAUDE_CODE_SUBSCRIPTION=false/' $BACKEND_DIR/.env
# Add or update CHAT_API_KEY and CHAT_BASE_URL
grep -q "^CHAT_API_KEY=" $BACKEND_DIR/.env && perl -i -pe "s|^CHAT_API_KEY=.*|CHAT_API_KEY=$ORKEY|" $BACKEND_DIR/.env || echo "CHAT_API_KEY=$ORKEY" >> $BACKEND_DIR/.env
grep -q "^CHAT_BASE_URL=" $BACKEND_DIR/.env && perl -i -pe 's|^CHAT_BASE_URL=.*|CHAT_BASE_URL=https://openrouter.ai/api/v1|' $BACKEND_DIR/.env || echo "CHAT_BASE_URL=https://openrouter.ai/api/v1" >> $BACKEND_DIR/.env

3c. Stop conflicting containers

# Stop any running app containers (keep infra: supabase, redis, rabbitmq, clamav)
docker ps --format "{{.Names}}" | grep -E "rest_server|executor|copilot|websocket|database_manager|scheduler|notification|frontend|migrate" | while read name; do
  docker stop "$name" 2>/dev/null
done

Native mode also: when running the app natively (see 3e-native), kill any stray host processes and free the app ports before starting — otherwise poetry run app and pnpm dev will fail to bind.

# Kill stray native app processes from prior runs
pkill -9 -f "python.*backend" 2>/dev/null || true
pkill -9 -f "poetry run app" 2>/dev/null || true
pkill -9 -f "next-server|next dev" 2>/dev/null || true

# Free app ports (errors per port are ignored — port may simply be unused)
for port in 3000 8006 8001 8002 8005 8008; do
  lsof -ti :$port -sTCP:LISTEN | xargs -r kill -9 2>/dev/null || true
done

3e-native. Run the app natively (PREFERRED for iterative dev)

Native mode runs infra (postgres, supabase, redis, rabbitmq, clamav) in docker but runs the backend and frontend directly on the host. This avoids the 3-8 minute docker compose build cycle on every backend change — code edits are picked up on process restart (seconds) instead of a full image rebuild.

When to prefer native mode (default for this skill):

• Iterative dev/debug loops where you're editing backend or frontend code between test runs
• Any PR that touches Python/TS source but not Dockerfiles, compose config, or infra images
• Fast repro of a failing scenario — restart poetry run app in a couple of seconds

When to prefer docker mode (3e fallback):

• Testing changes to Dockerfile, docker-compose.yml, or base images
• Production-parity smoke tests (exact container env, networking, volumes)
• CI-equivalent runs where you need the exact image that'll ship

Note on 3b (copilot auth): no npm install anywhere. poetry install pulls in claude_agent_sdk, which ships its own Claude CLI binary — available on PATH whenever you run commands via poetry run (native) OR whenever the copilot_executor container is built from its Poetry lockfile (docker). The OAuth token extraction still applies (same refresh_claude_token.sh call).

Preamble: before starting native, run the kill-stray + free-ports block from 3c's "Native mode also" subsection.

1. Start infra only (one-time per session):

cd $PLATFORM_DIR && docker compose --profile local up deps --detach --remove-orphans --build

This brings up postgres/supabase/redis/rabbitmq/clamav and skips all app services.

2. Start the backend natively:

cd $BACKEND_DIR && (poetry run app 2>&1 | tee .ign.application.logs) &

poetry run app spawns all app subprocesses — rest_server, executor, copilot_executor, websocket, scheduler, notification_server, database_manager — inside ONE parent process. No separate containers, no separate terminals. The .ign.application.logs prefix is already gitignored.

3. Wait for the backend on :8006 BEFORE starting the frontend. This ordering matters — the frontend's pnpm dev startup invokes generate-api-queries, which fetches /openapi.json from the backend. If the backend isn't listening yet, pnpm dev fails immediately.

for i in $(seq 1 60); do
  if [ "$(curl -s -o /dev/null -w '%{http_code}' http://localhost:8006/docs 2>/dev/null)" = "200" ]; then
    echo "Backend ready"
    break
  fi
  sleep 2
done

4. Start the frontend natively:

cd $FRONTEND_DIR && (pnpm dev 2>&1 | tee .ign.frontend.logs) &

5. Wait for the frontend on :3000:

for i in $(seq 1 60); do
  if [ "$(curl -s -o /dev/null -w '%{http_code}' http://localhost:3000 2>/dev/null)" = "200" ]; then
    echo "Frontend ready"
    break
  fi
  sleep 2
done

Once both are up, skip 3e/3f and go straight to 3g/3h (feature flags / test user creation).

3e. Build and start (docker — fallback)

cd $PLATFORM_DIR && docker compose build --no-cache 2>&1 | tail -20
if [ ${PIPESTATUS[0]} -ne 0 ]; then echo "ERROR: Docker build failed"; exit 1; fi

cd $PLATFORM_DIR && docker compose up -d 2>&1 | tail -20
if [ ${PIPESTATUS[0]} -ne 0 ]; then echo "ERROR: Docker compose up failed"; exit 1; fi

Note: If the container appears to be running old code (e.g. missing PR changes), use docker compose build --no-cache to force a full rebuild. Docker BuildKit may sometimes reuse cached COPY layers from a previous build on a different branch.

Expected time: 3-8 minutes for build, 5-10 minutes with --no-cache.

3f. Wait for services to be ready

# Poll until backend and frontend respond
for i in $(seq 1 60); do
  BACKEND=$(curl -s -o /dev/null -w "%{http_code}" http://localhost:8006/docs 2>/dev/null)
  FRONTEND=$(curl -s -o /dev/null -w "%{http_code}" http://localhost:3000 2>/dev/null)
  if [ "$BACKEND" = "200" ] && [ "$FRONTEND" = "200" ]; then
    echo "Services ready"
    break
  fi
  sleep 5
done

3h. Create test user and get auth token

ANON_KEY=$(grep "NEXT_PUBLIC_SUPABASE_ANON_KEY=" $FRONTEND_DIR/.env | sed 's/.*NEXT_PUBLIC_SUPABASE_ANON_KEY=//' | tr -d '[:space:]')

# Signup (idempotent — returns "User already registered" if exists)
SIGNUP_PAYLOAD=$(jq -nc --arg e "$PR_TEST_USER_EMAIL" --arg p "$PR_TEST_USER_PASSWORD" '{email:$e,password:$p}')
RESULT=$(curl -s -X POST 'http://localhost:8000/auth/v1/signup' \
  -H "apikey: $ANON_KEY" \
  -H 'Content-Type: application/json' \
  -d "$SIGNUP_PAYLOAD")

# If "Database error finding user", restart supabase-auth and retry —
# capture the retry result back into $RESULT so the token step below
# reads the post-retry state, not the original failure.
if echo "$RESULT" | grep -q "Database error"; then
  docker restart supabase-auth && sleep 5
  RESULT=$(curl -s -X POST 'http://localhost:8000/auth/v1/signup' \
    -H "apikey: $ANON_KEY" \
    -H 'Content-Type: application/json' \
    -d "$SIGNUP_PAYLOAD")
fi

# Get auth token
TOKEN=$(curl -s -X POST 'http://localhost:8000/auth/v1/token?grant_type=password' \
  -H "apikey: $ANON_KEY" \
  -H 'Content-Type: application/json' \
  -d "$SIGNUP_PAYLOAD" | jq -r '.access_token // ""')

Use this token for ALL API calls:

curl -H "Authorization: Bearer $TOKEN" http://localhost:8006/api/...

3i. Disable onboarding for test user

The frontend redirects to /onboarding when the VISIT_COPILOT step is not in completedSteps. Mark it complete via the backend API so every browser test lands on the real feature UI:

ONBOARDING_RESULT=$(curl -s --max-time 30 -X POST \
  "http://localhost:8006/api/onboarding/step?step=VISIT_COPILOT" \
  -H "Authorization: Bearer $TOKEN")
echo "Onboarding bypass: $ONBOARDING_RESULT"