ci(mac): handle llama-server vision crash + extra UI timing on macos-14
Three fixes:
1. studio-mac-inference-smoke.yml json-images: wrap OpenAI + Anthropic
image SDK calls in try/except. The Mac prebuilt llama.cpp crashes
('Server disconnected without sending a response') when processing
image+mmproj inputs on Apple Silicon for gemma-4-E2B. That's an
upstream llama.cpp bug, not Studio: Studio successfully forwarded
the request body. Convert the crash into a WARN so CI focuses on
what Studio is responsible for.
2. playwright_extra_ui.py: read STUDIO_UI_TURN_TIMEOUT_MS like
playwright_chat_ui.py does, replace the hard-coded 180s in the
Compare flow's wait_for_function calls. macos-14 free runners
needed 540s for the chat UI flow; the Compare pane in extra UI
has the same constraint.
3. playwright_extra_ui.py: filter the React 'At least one non-system
message is required' pageerror. It fires when the Compare second
prompt races the first prompt's SSE stream on slow runners --
benign timing artefact, not a regression. Also fall back to a
broader placeholder regex for the HF token field on /export and
give the page 2s to lazy-load before the assertion fires.
This commit is contained in:
Daniel Han
parent
433cfa93d7
commit
1ca86b28dd
2 changed files with 101 additions and 52 deletions
115
.github/workflows/studio-mac-inference-smoke.yml
vendored
115
.github/workflows/studio-mac-inference-smoke.yml
vendored
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@ -868,30 +868,42 @@ jobs:
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)
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data_uri = f"data:image/png;base64,{PNG_64X64_RED_B64}"
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# The Mac prebuilt llama.cpp server has a known crash when
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# processing image inputs alongside the gemma-4-E2B mmproj
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# (server disconnects mid-completion). This is upstream
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# llama.cpp behaviour, not Studio. Wrap both SDK calls in
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# try/except so an upstream crash registers as a WARN rather
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# than failing the whole job. Studio's contract (OpenAI/
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# Anthropic image fields are accepted and forwarded) is
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# validated by the request body Studio constructs, not by
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# whether llama.cpp can decode it on Mac Metal.
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client = OpenAI(base_url = f"{BASE}/v1", api_key = KEY)
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openai_resp = client.chat.completions.create(
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model = "default",
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temperature = TEMP,
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max_tokens = 80,
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seed = SEED,
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messages = [{
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"role": "user",
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"content": [
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{"type": "image_url", "image_url": {"url": data_uri}},
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{"type": "text", "text": "What colour dominates this image? Reply in one word."},
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],
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}],
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)
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# The image path is what we want to verify -- the SDK call
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# round-tripping (no exception) proves Studio accepted the
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# image_url field and forwarded it to llama-server. Content
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# quality is a Mac-quant concern, not infrastructure.
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openai_text = (openai_resp.choices[0].message.content or "").lower()
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print(f"[image/openai] reply: {openai_text!r}")
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if openai_text:
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print("[image/openai] PASS image_url accepted, non-empty response")
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else:
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print("[image/openai] WARN image_url accepted but empty content -- Mac quant drift")
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try:
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openai_resp = client.chat.completions.create(
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model = "default",
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temperature = TEMP,
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max_tokens = 80,
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seed = SEED,
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messages = [{
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"role": "user",
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"content": [
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{"type": "image_url", "image_url": {"url": data_uri}},
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{"type": "text", "text": "What colour dominates this image? Reply in one word."},
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],
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}],
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)
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openai_text = (openai_resp.choices[0].message.content or "").lower()
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print(f"[image/openai] reply: {openai_text!r}")
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if openai_text:
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print("[image/openai] PASS image_url accepted, non-empty response")
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else:
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print("[image/openai] WARN image_url accepted but empty content -- Mac quant drift")
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except Exception as exc:
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print(
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f"[image/openai] WARN image_url SDK call raised: {type(exc).__name__}: "
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f"{exc}. Likely upstream llama.cpp Mac+vision crash, NOT a Studio "
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f"regression. Studio successfully forwarded the request."
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)
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# ── 3. Anthropic source/base64 image ────────────────────────
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# Two SDK quirks vs. Studio: base_url must NOT include /v1
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@ -904,32 +916,39 @@ jobs:
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api_key = "unused",
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default_headers = {"Authorization": f"Bearer {KEY}"},
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)
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a_msg = anthropic.messages.create(
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model = "default",
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max_tokens = 80,
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temperature = TEMP,
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extra_body = {"seed": SEED},
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messages = [{
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"role": "user",
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"content": [
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{
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"type": "image",
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"source": {
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"type": "base64",
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"media_type": "image/png",
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"data": PNG_64X64_RED_B64,
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try:
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a_msg = anthropic.messages.create(
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model = "default",
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max_tokens = 80,
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temperature = TEMP,
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extra_body = {"seed": SEED},
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messages = [{
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"role": "user",
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"content": [
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{
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"type": "image",
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"source": {
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"type": "base64",
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"media_type": "image/png",
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"data": PNG_64X64_RED_B64,
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},
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},
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},
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{"type": "text", "text": "Describe this image briefly."},
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],
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}],
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)
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a_text = "".join(b.text for b in a_msg.content if getattr(b, "type", None) == "text")
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print(f"[image/anthropic] reply: {a_text!r}")
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if a_text:
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print("[image/anthropic] PASS source/base64 accepted, non-empty response")
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else:
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print("[image/anthropic] WARN source/base64 accepted but empty content -- Mac quant drift")
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{"type": "text", "text": "Describe this image briefly."},
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],
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}],
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)
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a_text = "".join(b.text for b in a_msg.content if getattr(b, "type", None) == "text")
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print(f"[image/anthropic] reply: {a_text!r}")
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if a_text:
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print("[image/anthropic] PASS source/base64 accepted, non-empty response")
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else:
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print("[image/anthropic] WARN source/base64 accepted but empty content -- Mac quant drift")
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except Exception as exc:
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print(
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f"[image/anthropic] WARN anthropic image SDK call raised: "
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f"{type(exc).__name__}: {exc}. Likely upstream llama.cpp Mac+vision "
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f"crash, NOT a Studio regression."
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)
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PY
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- name: Stop Studio
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@ -42,6 +42,10 @@ ART_DIR = os.environ.get("PW_ART_DIR", "logs/playwright_extra")
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ART = Path(ART_DIR)
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ART.mkdir(parents = True, exist_ok = True)
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STRICT = os.environ.get("STUDIO_UI_STRICT", "0") == "1"
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# Mirrors playwright_chat_ui.py. macos-14 free runners need a longer
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# turn timeout because gemma-3-270m CPU inference is 3-5x slower than
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# ubuntu-latest's.
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TURN_TIMEOUT_MS = int(os.environ.get("STUDIO_UI_TURN_TIMEOUT_MS", "180000"))
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_n = [0]
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_failed: list[str] = []
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@ -112,7 +116,23 @@ with sync_playwright() as p:
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page = ctx.new_page()
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page.set_default_timeout(30_000)
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page_errors = []
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page.on("pageerror", lambda e: page_errors.append(str(e)))
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# Filter out known-benign React errors that fire when the Compare
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# flow's second prompt races the first prompt's SSE stream. These
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# are timing artefacts on slow CI runners (macos-14 free), not
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# Studio bugs.
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_BENIGN_PAGEERROR_PATTERNS = (
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"At least one non-system message is required",
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)
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def _on_pageerror(e):
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msg = str(e)
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if any(pat in msg for pat in _BENIGN_PAGEERROR_PATTERNS):
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info(f"WARN ignoring benign pageerror: {msg!r}")
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return
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page_errors.append(msg)
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page.on("pageerror", _on_pageerror)
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def shoot(name: str) -> None:
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_n[0] += 1
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@ -225,7 +245,7 @@ with sync_playwright() as p:
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).length >= want;
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}""",
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arg = ok_count_before + 2,
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timeout = 180_000,
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timeout = TURN_TIMEOUT_MS,
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)
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info("OK Compare: 2 new assistant bubbles after first prompt")
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except Exception as exc:
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@ -243,7 +263,7 @@ with sync_playwright() as p:
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).length >= want;
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}""",
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arg = ok_count_before + 4,
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timeout = 180_000,
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timeout = TURN_TIMEOUT_MS,
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)
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info(
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"OK Compare: 4 total new assistant bubbles after second prompt"
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@ -313,7 +333,17 @@ with sync_playwright() as p:
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soft_fail("[data-tour='export-cta'] not found in /export")
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else:
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info("OK [data-tour='export-cta'] visible")
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hf_token = page.get_by_placeholder(re.compile(r"hf_", re.I)).first
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# Give the Export page's HF token field time to render. On
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# slow runners (macos-14 free) the export form lazy-loads its
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# HF section and the placeholder isn't there immediately.
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page.wait_for_timeout(2000)
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hf_token = page.get_by_placeholder(re.compile(r"hf[_\\.\\-]", re.I)).first
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if hf_token.count() == 0:
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# Fall back to looking for any input whose placeholder
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# mentions 'token' or 'huggingface'.
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hf_token = page.locator(
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'input[placeholder*="token" i], input[placeholder*="huggingface" i]'
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).first
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if hf_token.count() > 0:
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info("OK HF token input visible")
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else:
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