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okami.mom/albedo

git clone https://git.nkp.pet/okami.mom/albedo

nekomimi.pettui: one delimiter table for math, bytes.Cut over hand scans, and the fork's IndentWriter for list itemse4c3bd62026-10-12

files

README.md	4.3 KiB
active_output_benchmark.py	10.6 KiB
albedo_live_coding.erl	331 B
albedo_openai_bench.erl	1.9 KiB
albedo_openai_rate_bench.erl	4.9 KiB
benchmark.gleam	3.8 KiB
coding.gleam	6.8 KiB
copy_probe.gleam	1.8 KiB
glinter-all.toml	954 B
glinter-review.toml	1.1 KiB
inspect_daemon.py	2.8 KiB
json_roundtrip_bench.py	7.2 KiB
kernel_memory_benchmark.py	9.4 KiB
mock_openai_server.py	13.1 KiB
nix_package_smoke.py	2.2 KiB
remote_ssh.py	2.0 KiB
stream_benchmark.gleam	13.1 KiB
stream_rate_benchmark.gleam	6.2 KiB
tui_shot.py	6.6 KiB
verify_intervals.py	2.9 KiB

Manual checks

These tools are opt-in. The full test gate excludes them because they require credentials, a real SSH host, an installed package, or benchmark artifacts. Run commands from the repository root inside nix develop.

Tool	Invocation and prerequisites	Result
TUI screenshots	`ALBEDO_SHOT_DIR=/tmp/shots go -C cli test ./internal/tui -run TestShot`, then `python3 test/manual/tui_shot.py /tmp/shots`	Needs `rsvg-convert`. Draws each `TestShot*` screen (what the real `View()` emits, in a catppuccin terminal's colors) as a PNG beside its `.ans`, to look at before and after a layout change. Add a screen by calling `shot(t, name, view)` from a test after `shotTerminal(t)`.
Packaged binary	`python3 test/manual/nix_package_smoke.py /absolute/path/to/bin/albedo`	Checks the installed client and daemon outside the checkout with a restricted PATH. Fails on an invalid package.
Remote kernel	`python3 test/manual/remote_ssh.py user@host`	Requires key authentication and remote Python 3.11 or newer. Exercises staging, kernel boot, tool calls, and connection reuse.
Kernel memory	`python3 test/manual/kernel_memory_benchmark.py --scale 1 10 --output /tmp/kernel-memory.json`	Measures boot and workload memory. Writes measurements for comparison, rather than imposing a universal memory threshold.
Active output	`python3 test/manual/active_output_benchmark.py --baseline /tmp/baseline/albedo-daemon --candidate /tmp/candidate/albedo-daemon --output /tmp/active-output-results.json`	Requires two exported daemon builds and Linux `/proc` for memory measurements. Compares attachment and hydration performance using a gated local provider.
Interval implementation	`python3 test/manual/verify_intervals.py /directory/containing/interval_set.py`	Runs five unittest scenarios, including randomized interval algebra. Exits unsuccessfully when the candidate violates the contract.
Provider benchmark	`gleam run -m manual/benchmark`	Requires `ALBEDO_BENCH_URL`, `ALBEDO_BENCH_MODEL`, and `ALBEDO_BENCH_KEY`. Optional `ALBEDO_BENCH_PROTOCOL` selects a protocol. Prints request timings and memory measurements.
Stream benchmark	`gleam run -m manual/stream_benchmark`	Offline. Frames and reduces synthetic Responses and Chat Completions streams and encodes a 1 MB request, printing time per run and throughput. Compare before and after a change to `openai_api`.
Stream rate benchmark	`python3 test/manual/mock_openai_server.py` in one terminal, then `ERL_FLAGS="<vm_defaults from priv/bin/albedo-daemon>" gleam run -m manual/stream_rate_benchmark`	Local. Streams Responses, Chat Completions, Claude, Vertex, and Cloud Code Assist through the real transport from a mock server at 500 tokens/s and unthrottled, or `ALBEDO_BENCH_PARALLEL` streams at once, and prints VM CPU, reductions, and send-to-callback latency per token. `ALBEDO_BENCH_TOOLS` streams a share of the deltas as tool-call arguments. For https, start the mock with a certificate and key and set `ALBEDO_BENCH_ORIGIN=https://localhost:PORT` and `ALBEDO_BENCH_CA` to the issuing CA.
Copy probe	`gleam run -m manual/copy_probe`	Offline. Boots a runtime and one default session and prints what a spawn over the runtime handle, the installed list, the session, and each managed plugin copies, in KiB. Compare before and after moving a catalog between processes.
Live coding	`gleam run -m manual/coding`	Requires the benchmark URL, model, and key, plus `ALBEDO_LIVE_WORKSPACE` and `ALBEDO_LIVE_DATABASE`. Optional `ALBEDO_LIVE_PROTOCOL` selects a protocol. Runs a real model-driven coding scenario.

albedo_openai_bench.erl supports the provider benchmark and live coding tool, and albedo_openai_rate_bench.erl the stream rate benchmark. albedo_live_coding.erl supports the live coding tool. They are native helpers, not independent suites.

The glinter-review.toml and glinter-all.toml files configure advisory lint profiles. Run test/gleam-lint.sh --review or test/gleam-lint.sh --all. See the lint documentation for interpretation.

Do not bulk-import these scripts as a smoke check. Some consume command-line arguments or execute immediately on import. Ruff and ty cover their source in the normal gate; exercise their documented commands when changing them.