6d8c18cd1a* Replace standalone Studio wording with Unsloth Replace the single word Studio with Unsloth wherever it is used as shorthand for Unsloth Studio in docs, CLI output, UI strings, i18n locales, workflow display names, comments and docstrings. Kept unchanged: the full name Unsloth Studio, third party product names (LM Studio, Visual Studio, Mac Studio), feature names (Recipe Studio, Fine-tuning Studio and its translations), and all identifiers such as env vars, commands, paths and filenames. * Address review feedback on the Studio wording rename Use "an" before Unsloth where the rename left the article as "a". Restore the split brand where Unsloth and Studio render as two halves of the full product name: the onboarding sidebar subtitle and the IPv6 localhost warning. Scope two messages to the full name Unsloth Studio where plain Unsloth was misleading: the AMD README bullet and the CLI studio setup error.
68 lines
2.4 KiB
YAML
68 lines
2.4 KiB
YAML
# SPDX-License-Identifier: AGPL-3.0-only
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# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved.
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#
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# Event-loop regression test for the Unsloth model-load orchestrator.
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# Pins down issue #5642 (Win10 UI freeze on model load): the /load
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# route calls LlamaCppBackend.detect_audio_type synchronously, blocking
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# the FastAPI event loop on a chain of sync httpx.Client.post() probes.
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#
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# The suite stands up a stdlib fake llama-server + a tiny FastAPI app
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# via uvicorn and asserts that detect_audio_type runs via
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# asyncio.to_thread so concurrent /api/inference/load-progress polling
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# stays responsive. CPU-only, no torch, no real llama.cpp binary, no
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# GPU -- the matching cross-OS staging proof lives on
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# danielhanchen/unsloth-staging-2 (Ubuntu / macOS / Windows all
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# green at PR time).
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name: Unsloth load-orchestrator CI
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on:
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pull_request:
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paths:
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- 'studio/backend/routes/inference.py'
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- 'studio/backend/core/inference/llama_cpp.py'
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- 'tests/studio/load_freeze/**'
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- '.github/workflows/studio-load-orchestrator-ci.yml'
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push:
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branches: [main]
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paths:
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- 'studio/backend/routes/inference.py'
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- 'studio/backend/core/inference/llama_cpp.py'
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- 'tests/studio/load_freeze/**'
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- '.github/workflows/studio-load-orchestrator-ci.yml'
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workflow_dispatch:
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concurrency:
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group: ${{ github.workflow }}-${{ github.ref }}
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cancel-in-progress: true
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permissions:
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contents: read
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jobs:
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test:
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runs-on: ubuntu-latest
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timeout-minutes: 15
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steps:
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- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
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with:
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persist-credentials: false
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- uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
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with:
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python-version: '3.12'
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cache: 'pip'
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- name: Install minimal deps (no torch, no unsloth)
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# The test stubs `loggers` and `structlog`, imports
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# core.inference.llama_cpp directly, and drives a small
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# FastAPI app. Nothing here pulls torch or any GPU code,
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# so the entire job typically completes in well under 60 s.
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run: |
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python -m pip install --upgrade pip
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python -m pip install \
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'pytest>=8' \
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'httpx>=0.27,<1' \
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'fastapi>=0.110,<1' \
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'uvicorn>=0.30,<1' \
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'anyio>=4'
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- name: Run load-orchestrator tests
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run: python -m pytest -v --tb=short tests/studio/load_freeze/
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