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Commits
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 Adam SmithandClaude Opus 5
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4a347369cc |
build: add release tagging, version checks and a release script
This repo has no tags and no GitHub releases, and manifest.json has read "1.0.0" since the integration was vendored -- unchanged across 20 commits, including today's breaking reshape of the config flow. HACS falls back to serving the default branch when there are no releases, so every download is indistinguishable from the last and there is no way to tell what is running. - scripts/release.py bumps manifest.json, commits and creates an annotated tag in one step. It refuses a dirty tree, a branch other than main, a main that differs from origin/main, a malformed version and an existing tag. It stops short of pushing, since pushing the tag is what publishes. - .github/workflows/release.yaml triggers on v* tags and refuses to publish when the tag and manifest.json disagree. That mismatch is the failure worth guarding: HACS offers the tag while Home Assistant reports the manifest, so you install "v0.2.0" and the integration page says 0.1.0. It then creates the release with gh (no third-party action). - tests/test_version.py keeps the manifest version parseable by AwesomeVersion (what HACS validates with) and in the shape the release script accepts, so a release never fails on the version string itself. Scheme: 0.x while the config entry shape is still in motion -- it changed twice today -- and 1.0.0 when it settles. Documented in the README. Local: 169 passed. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01NxJYWgGJtCw13qUHZtG8ki |
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Adam SmithandClaude Opus 5
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e7fcb1d7a1 |
feat: one entry per provider, endpoints per type and model from a live dropdown
Reshapes setup around how a multi-model proxy is actually used: one config entry per server/provider, then one endpoint per model added by hand, with the model chosen from what that provider advertises right now. Setup (async_step_user): - Adds a Name field. With one entry per provider the title matters, and it was hardcoded to "ChatGPT" regardless of where the entry pointed. Blank falls back to the endpoint host via url_util.title_from_base_url. Deliberately absent from the reauth schema (now split out as STEP_REAUTH_DATA_SCHEMA): that step writes its input back into entry.data via data_updates, so a name field there would persist the title as connection data on every key rotation. - Stops auto-creating four subentries. conversation/ai_task_data/stt/tts were all created up front carrying RECOMMENDED_* options, which pin OpenAI model names (gpt-4o-mini-tts, gpt-4o-mini-transcribe). Against a third-party endpoint those entities are dead on arrival -- the reported symptom was an install that "loads bits, it's all janky". - Drops _async_abort_entries_match, so several entries may point at one server (one per provider-side key, for instance). Upstream aborts with already_configured on matching url+key. Model discovery (new model_list.py, kept out of the vendored files like url_util.py): - async_fetch_model_ids asks the endpoint's GET /v1/models. It calls with_options(max_retries=0), because this runs while the user waits on a dialog and the SDK otherwise retries with backoff -- visible in the test run as repeated "Retrying request to /models" and a suite that went from 5s to minutes. - Returns [] on any OpenAIError, and model_field() then yields a plain text field instead of a dropdown, so an endpoint that serves /v1/responses but not /v1/models is still configurable by hand. The dropdown sets custom_value=True for the same reason (LiteLLM wildcard routes). - Wired into all four types: conversation and ai_task_data on the additional step, stt (which hardcoded OpenAI's three transcribe models) and tts on init. TTS had no model field at all -- it silently used gpt-4o-mini-tts. A new endpoint now starts with "recommended" unticked. Ticked, the flow ends on the first step and never shows a model field, which is why the model looked unpickable; reconfigure still keeps whatever was saved. The model field stays on the additional step rather than moving to init. The init position reads better, but 71 ported tests drive the model through the additional step, several from parametrized option dicts that no mechanical edit could relocate. Rewriting the only regression net against upstream to save one click was the wrong trade. Also: the setup description no longer says "your OpenAI API key", and instructions_url pointed at a README anchor (#generate-an-api-key) that does not exist -- now #configuration. strings.json re-verified against core's RE_URL: 0 violations. Local: 167 passed. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01NxJYWgGJtCw13qUHZtG8ki |
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Adam SmithandClaude Opus 5
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21702031ff |
docs: add README and brand icon; drop invalid hacs.json key
The `hacs` validation job has failed on every push since the scaffold
commit (6/9 checks). This fixes the four failures that live in the repo;
the two that live in GitHub metadata (description, topics) are set via
the API and need no commit.
- hacs.json: remove `render_readme`. It is not in the HACS manifest
schema (valid keys: name, content_in_root, zip_release, filename,
hide_default_branch, country, homeassistant, hacs,
persistent_directory), and HACS rejects the whole file on an unknown
key -- which is what `<Validation hacsjson> failed` was. Expecting
the cascading `integration_manifest` failure ("expected a dictionary.
Got None") to clear with it, since manifest.json itself already
carries every key HACS requires.
- README.md: the repo had none, so the `information` check failed and
HACS had nothing to render. Documents the one thing this fork adds
(configurable base URL) and, importantly, the compatibility ceiling:
upstream calls the Responses API, so an endpoint that only serves
/v1/chat/completions cannot back the conversation or AI Task
subentries. Also records which endpoint each subentry needs, that
upstream's recommended model names and unsupported-model lists are
OpenAI-specific, the base-URL rules (http/https, no embedded
credentials, include /v1), and why a blank API key sends the
`not-required` placeholder.
- brand/icon.png + icon@2x.png: `brands` fails unless the repo ships
brand assets or the domain is in home-assistant/brands. Shipping
assets is the option that does not depend on a third-party PR.
Generated with stdlib zlib/struct (no PIL or ImageMagick in this
environment) from supersampled SDFs; the generator is scratch, not
committed. Deliberately neither OpenAI's nor Home Assistant's mark,
and a placeholder -- replace it with real artwork before release.
Not done here: this fork has no git tag or GitHub release yet. HACS
treats releases as preferred-but-not-required and the action does not
check for one, so it is not part of this failure.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NxJYWgGJtCw13qUHZtG8ki
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