release 0.4.23 (#963)

* release 0.4.23

Co-authored-by: Musa <musa@spherrrical.dev>

* release 0.4.23

Co-authored-by: Musa <musa@spherrrical.dev>

* ci: seed ~/.plano cache for zero-config smoke test on release-bump PRs

---------

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
This commit is contained in:
Musa 2026-06-03 14:55:15 -07:00 committed by GitHub
parent dbe6632d5f
commit 374966c06e
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GPG key ID: B5690EEEBB952194
11 changed files with 33 additions and 14 deletions

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@ -110,6 +110,25 @@ jobs:
# ── Zero-config path: `planoai up` with no args, no plano.yaml in cwd.
# Exercises the synthesize_default_config branch in cli/planoai/main.py
# which is otherwise never hit by the smoke test above.
#
# Pre-seed ~/.plano/ from the freshly-built artifacts so the CLI's
# cached-download path hits in step (2) of ensure_wasm_plugins /
# ensure_brightstaff_binary. Without this, running from outside the
# repo means find_repo_root() returns None, the local-build short-
# circuit is skipped, and the CLI tries to download from a GitHub
# release that does not yet exist for the in-flight version on
# release-bump PRs (e.g. 0.4.23 before publish-binaries has run).
- name: Seed ~/.plano cache for zero-config test
run: |
VERSION=$(sed -nE 's/^__version__ = "(.*)"$/\1/p' cli/planoai/__init__.py)
mkdir -p ~/.plano/plugins ~/.plano/bin
cp crates/target/wasm32-wasip1/release/prompt_gateway.wasm ~/.plano/plugins/
cp crates/target/wasm32-wasip1/release/llm_gateway.wasm ~/.plano/plugins/
cp crates/target/release/brightstaff ~/.plano/bin/
chmod +x ~/.plano/bin/brightstaff
echo "$VERSION" > ~/.plano/plugins/wasm.version
echo "$VERSION" > ~/.plano/bin/brightstaff.version
- name: Zero-config smoke test
env:
OPENAI_API_KEY: test-key-not-used
@ -164,13 +183,13 @@ jobs:
load: true
tags: |
${{ env.PLANO_DOCKER_IMAGE }}
${{ env.DOCKER_IMAGE }}:0.4.22
${{ env.DOCKER_IMAGE }}:0.4.23
${{ env.DOCKER_IMAGE }}:latest
cache-from: type=gha
cache-to: type=gha,mode=max
- name: Save image as artifact
run: docker save ${{ env.PLANO_DOCKER_IMAGE }} ${{ env.DOCKER_IMAGE }}:0.4.22 ${{ env.DOCKER_IMAGE }}:latest -o /tmp/plano-image.tar
run: docker save ${{ env.PLANO_DOCKER_IMAGE }} ${{ env.DOCKER_IMAGE }}:0.4.23 ${{ env.DOCKER_IMAGE }}:latest -o /tmp/plano-image.tar
- name: Upload image artifact
uses: actions/upload-artifact@v6

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@ -24,7 +24,7 @@ export function Hero() {
>
<div className="inline-flex flex-wrap items-center gap-1.5 sm:gap-2 px-3 sm:px-4 py-1 rounded-full bg-[rgba(185,191,255,0.4)] border border-[var(--secondary)] shadow backdrop-blur hover:bg-[rgba(185,191,255,0.6)] transition-colors cursor-pointer">
<span className="text-xs sm:text-sm font-medium text-black/65">
v0.4.22
v0.4.23
</span>
<span className="text-xs sm:text-sm font-medium text-black ">

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@ -1 +1 @@
docker build -f Dockerfile . -t katanemo/plano -t katanemo/plano:0.4.22
docker build -f Dockerfile . -t katanemo/plano -t katanemo/plano:0.4.23

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@ -1,3 +1,3 @@
"""Plano CLI - Intelligent Prompt Gateway."""
__version__ = "0.4.22"
__version__ = "0.4.23"

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@ -5,7 +5,7 @@ PLANO_COLOR = "#969FF4"
SERVICE_NAME_ARCHGW = "plano"
PLANO_DOCKER_NAME = "plano"
PLANO_DOCKER_IMAGE = os.getenv("PLANO_DOCKER_IMAGE", "katanemo/plano:0.4.22")
PLANO_DOCKER_IMAGE = os.getenv("PLANO_DOCKER_IMAGE", "katanemo/plano:0.4.23")
DEFAULT_OTEL_TRACING_GRPC_ENDPOINT = "http://localhost:4317"
# Native mode constants

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@ -1,6 +1,6 @@
[project]
name = "planoai"
version = "0.4.22"
version = "0.4.23"
description = "Python-based CLI tool to manage Plano."
authors = [{name = "Katanemo Labs, Inc."}]
readme = "README.md"

2
cli/uv.lock generated
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@ -337,7 +337,7 @@ wheels = [
[[package]]
name = "planoai"
version = "0.4.22"
version = "0.4.23"
source = { editable = "." }
dependencies = [
{ name = "click" },

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@ -3,7 +3,7 @@ This demo shows how you can use user preferences to route user prompts to approp
## How to start the demo
Make sure you have Plano CLI installed (`pip install planoai==0.4.22` or `uv tool install planoai==0.4.22`).
Make sure you have Plano CLI installed (`pip install planoai==0.4.23` or `uv tool install planoai==0.4.23`).
```bash
cd demos/llm_routing/preference_based_routing

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@ -17,7 +17,7 @@ from sphinxawesome_theme.postprocess import Icons
project = "Plano Docs"
copyright = "2026, Katanemo Labs, a DigitalOcean Company"
author = "Katanemo Labs, Inc"
release = " v0.4.22"
release = " v0.4.23"
# -- General configuration ---------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration

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@ -43,7 +43,7 @@ Plano's CLI allows you to manage and interact with the Plano efficiently. To ins
.. code-block:: console
$ uv tool install planoai==0.4.22
$ uv tool install planoai==0.4.23
**Option 2: Install with pip (Traditional)**
@ -51,7 +51,7 @@ Plano's CLI allows you to manage and interact with the Plano efficiently. To ins
$ python -m venv venv
$ source venv/bin/activate # On Windows, use: venv\Scripts\activate
$ pip install planoai==0.4.22
$ pip install planoai==0.4.23
.. _llm_routing_quickstart:

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@ -65,7 +65,7 @@ Create a ``docker-compose.yml`` file with the following configuration:
# docker-compose.yml
services:
plano:
image: katanemo/plano:0.4.22
image: katanemo/plano:0.4.23
container_name: plano
ports:
- "10000:10000" # ingress (client -> plano)
@ -153,7 +153,7 @@ Create a ``plano-deployment.yaml``:
spec:
containers:
- name: plano
image: katanemo/plano:0.4.22
image: katanemo/plano:0.4.23
ports:
- containerPort: 12000 # LLM gateway (chat completions, model routing)
name: llm-gateway