tenx-ai 0.1.8

Tenx assessment CLI

assessment-cli

CLI client for Tenx hiring assessments.

Highlights

• Uses the Claude Agent SDK for local interactive coding sessions.
• Appends each REPL turn to .tenx/assessment_turns.jsonl (when a session id is present).
• tenx-submit uploads pending turns to assessment-proxy, then runs the FRQ phase and saves free-response rows.

Setup

python -m venv .venv
.venv\Scripts\activate
pip install -e ".[dev]"
copy .env.example .env

Set ANTHROPIC_API_KEY in .env before running.

Run

tenx-ai

The CLI starts a 60-minute assessment timer when the process starts. Use /time to display the remaining time.

Set TENX_ASSESSMENT_DURATION_SECONDS in .env to override the timer length.

Or:

python -m assessment_cli

Edit approval mode

Set TENX_EDIT_APPROVAL=true in .env to review proposed Write, Edit, and Bash tool actions before they run.

• TENX_EDIT_APPROVAL=false (default): similar to Claude Code acceptEdits for file edits.
• TENX_EDIT_APPROVAL=true: similar to Claude Code default mode for these tools.

Approval keys:

• y accept
• n reject
• d show full diff
• ? show key help

Compared to Claude Code, this is a focused terminal subset of the same permission model concepts. For full Claude Code mode controls, see the CLI reference.

Submit changes

Run this from your assessment workspace to stage, commit, and push:

tenx-submit

Optional commit message:

tenx-submit --message "Assessment submission"

By default, after a successful push, tenx-submit:

• Uploads any pending lines from .tenx/assessment_turns.jsonl to the proxy (then clears that file on success).
• Starts an FRQ phase: generates questions from your most recent commit (HEAD), prompts for answers, and saves rows to assessment-proxy.

For local development, set ENV=local in .env to skip git add / commit / push and go straight to upload + FRQ (workspace must still be a git repository for FRQ context).

Chat history persistence

Set these in .env to enable persistence:

• ASSESSMENT_PROXY_URL (for example http://localhost:8000)
• ASSESSMENT_PROXY_TOKEN (must match the proxy’s PROXY_BEARER_SECRET)

When ASSESSMENT_PROXY_URL is unset, there is no session id and no JSONL logging to the proxy. FRQ persistence also requires the URL and token.

With ASSESSMENT_PROXY_URL set, the first tenx-ai run creates a session and writes .tenx/assessment_session_id; later runs reuse it until tenx-submit succeeds (which clears the JSONL upload and that file so the next assessment gets a new session).

Breaking change (Phase 0)

The proxy path and JSON shape changed: see assessment-proxy/README.md.

Security notes for Codespaces

• Do not store the Supabase secret API key in the CLI.
• Use only proxy URL and bearer token in CLI env.
• Treat ASSESSMENT_PROXY_TOKEN as sensitive and rotate if leaked.