pi-native-e2e-dev
Spin up a live local Omnigent server + runner and exercise the native Pi TUI harness (pi-native) end-to-end — launch the real `pi` CLI via `omnigent pi`, drive turns through the web/bridge, smoke-test, and bug-bash. Load when developing, testing, or debugging the pi-native harness (omnigent/inner/pi_native_executor.py, pi_native_harness.py, omnigent/pi_native.py, pi_native_bridge.py, pi_native_credentials.py) or its bridge / extension / auth / model behavior.
git clone --depth 1 https://github.com/omnigent-ai/omnigent /tmp/pi-native-e2e-dev && cp -r /tmp/pi-native-e2e-dev/.claude/skills/pi-native-e2e-dev ~/.claude/skills/pi-native-e2e-devSKILL.md
# Pi native harness: end-to-end dev & testing (local server/runner)
The `pi-native` harness wraps the **real Pi coding-agent TUI**
(`@earendil-works/pi-coding-agent`, the `pi` CLI). Unlike the SDK harnesses
(cursor / copilot / antigravity), it does **not** run in-process: `omnigent pi`
ensures a host daemon, the daemon spawns a **runner** that launches `pi` inside a
runner-owned **tmux** terminal, and your TTY attaches to it. Omnigent's web-UI
turns are forwarded into that live `pi` process through a **file-inbox bridge** +
a packaged **JS extension** (`pi.sendUserMessage`). This skill is the proven
recipe for running it **for real against a live local server + runner** — not
just the unit tests.
> Like the other harnesses, the runner imports from your **current checkout**, so
> testing here exercises exactly the code you're on. (CWD/venv selects the code,
> not `PYTHONPATH`.)
## What actually runs where
```
your TTY ── (attach / pexpect) ──► omnigent pi (CLI, local)
│ ensures
▼
host daemon ──► local Omnigent server (AP)
│ spawns ▲
▼ │ HTTP
runner ── launches ──► pi (TUI, in tmux)
│ loads
▼
omnigent pi-native extension (JS)
```
Two ways a turn reaches Pi — test both:
1. **Type in the TUI** (your attached terminal). Exercises Pi natively; the
extension mirrors the transcript back to the server (`POST …/events`).
2. **Web / API message.** Server → runner → **`PiNativeExecutor.run_turn`** →
`enqueue_user_message()` writes `inbox/<ordinal>_msg_*.json` → the resident
extension polls the inbox → `pi.sendUserMessage(...)`. This is the
harness-specific path most worth covering.
## Prerequisites (check these first)
1. **You're on the branch you want to test**, and running from that checkout
(`.venv/bin/omnigent` / `.venv/bin/python` from this repo).
2. **The `pi` CLI is on PATH** — the harness can't launch without it:
```bash
which pi && pi --version
# install if missing: npm install -g @earendil-works/pi-coding-agent
# or point at an explicit binary: export OMNIGENT_PI_PATH=/path/to/pi
.venv/bin/python -c "from omnigent.onboarding.harness_readiness import harness_is_configured; print('pi-native ready:', harness_is_configured('pi-native'))"
```
3. **`tmux` is on PATH.** The native wrapper attaches your TTY to the
runner-owned Pi tmux pane (`_preflight_local_tools` hard-fails without it).
4. **`node` is on PATH.** The extension is JS executed inside Pi (also required
by the e2e extension tests). `node --version`.
5. **Auth is resolvable (booleans/ids only — never print keys).** Native Pi
normally logs in from its own `~/.pi/agent`. Omnigent bridges the provider you
set with `omnigent setup` instead, writing a managed per-session `models.json`
and passing `--provider omnigent --model <resolved>`. Verify what it will use:
```bash
.venv/bin/python -c "from omnigent.pi_native_credentials import resolve_pi_native_provider as r; p=r(); print('provider:', getattr(p,'provider_id',None), '| api:', getattr(p,'api',None), '| model:', getattr(p,'model',None))"
```
`None` → no omnigent provider configured; Pi falls back to its own `/login`
(run `omnigent setup`, or log into `pi` directly). A Databricks default
resolves to the AI-Gateway `anthropic-messages` surface with a refreshed
bearer token.
6. **Network egress to the model backend.** A turn that hangs/fails to connect on
a locked-down host is usually egress, not a harness bug.
## Step 1 — start a local server (real server + runner)
```bash
cd /path/to/omnigent
.venv/bin/omni server --background # detached managed server on a free loopback port
.venv/bin/omni server status # prints the URL, e.g. http://127.0.0.1:6767
SERVER=http://127.0.0.1:6767 # use the printed URL below
curl -s "$SERVER/health" # {"status":"ok"}
```
(`omnigent pi --server ""` also auto-spawns a persistent local server and uses
it — handy for a one-shot manual run, but a known `$SERVER` URL is better for
scripted API observation below.)
## Step 2 — launch the native Pi terminal against the local server
`omnigent pi` **attaches an interactive TUI**, so run it where you can hold it
open. Two patterns:
**A. Background terminal (recommended for scripted drives).** Launch it in one
terminal and drive/observe from another:
```bash
.venv/bin/omnigent pi --server "$SERVER" 2>&1 # attaches the Pi TUI; leave it running
```
It prints `Web UI: <url>` and a resume hint to stderr — grab the conversation id
(the `…/c/<conv_…>` segment). Capture it for the API calls below:
```bash
CONV=conv_xxxxxxxx # from the "Web UI:" line / resume hint
```
**B. PTY driver (fully automated).** Drive it under `pexpect` exactly like the
`claude-native-e2e-test` skill's `cuj_driver.py` (a proven, generalizable base):
spawn `omnigent pi --server <url>` in a PTY with `cwd=<checkout>`, capture the
conv id from the printed URL, send keystrokes / poll the API, then **tear down
the whole process tree** (see Teardown — pexpect Ctrl-C only *detaches* tmux).
Pass-through Pi CLI args go after the command (persisted as
`terminal_launch_args`), e.g. `omnigent pi --server "$SERVER" -- --model <id>`;
omnigent still injects `--provider omnigent --model <resolved>` when a provider
is configured (see `pi_native_credentials.py`).
## Step 3 — drive a turn (and smoke-test)
**Via the web/bridge path (exercises `PiNativeExecutor`).** Post a user message
to the running session; the runner routes it through the harness → bridge inbox →
extension → `pi.sendUserMessage`:Spin up a live local Omnigent server and exercise the Antigravity (Gemini) SDK harness end-to-end — build antigravity agents, run real turns, smoke-test, and bug-bash. Load when developing, testing, or debugging the antigravity harness (omnigent/inner/antigravity_executor.py, antigravity_harness.py, omnigent/onboarding/antigravity_auth.py) or its auth / model / tool-bridge behavior.
Spin up a live local Omnigent server and exercise the Cursor SDK harness end-to-end — build cursor agents, run real turns, smoke-test, and bug-bash. Load when developing, testing, or debugging the cursor harness (omnigent/inner/cursor_executor.py, cursor_harness.py, cursor_auth.py) or its auth / model / tool-bridge behavior.
Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack for a new platform.
Have the Claude and GPT partners critique each other's answers across a configurable number of rounds (default 1) before converging on a synthesis. Use when the user wants the two perspectives stress-tested against each other, not just shown side by side.
Verify an implementer's diff with an INDEPENDENT, different-vendor sub-agent (diff plus contract only); turn blocking issues into fix-tasks and loop until clean.
Run independent subtasks in parallel — one git worktree and one implementation sub-agent per task, each opening its own PR — then cross-review every PR. polly never merges; the human does.
Delegate read-only investigation, debugging, audit, search, or code-understanding tasks to sub-agents; synthesize only from their structured reports.
Patterns and templates for generating valid Omnigent agent directories. Load when ready to create files.