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Delete deprecated, old, invalid versions for chat and embeddings clients. #99

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Merged
merged 1 commit into from
Oct 8, 2025
Merged

Delete deprecated, old, invalid versions for chat and embeddings clients. #99

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3 changes: 0 additions & 3 deletions singlestoredb/ai/__init__.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,2 @@
from .chat import SingleStoreChat # noqa: F401
from .chat import SingleStoreChatFactory # noqa: F401
from .chat import SingleStoreChatOpenAI # noqa: F401
from .embeddings import SingleStoreEmbeddings # noqa: F401
from .embeddings import SingleStoreEmbeddingsFactory # noqa: F401
38 changes: 0 additions & 38 deletions singlestoredb/ai/chat.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,44 +29,6 @@
from botocore.config import Config


class SingleStoreChatOpenAI(ChatOpenAI):
def __init__(self, model_name: str, api_key: Optional[str] = None, **kwargs: Any):
inference_api_manger = (
manage_workspaces().organizations.current.inference_apis
)
info = inference_api_manger.get(model_name=model_name)
token = (
api_key
if api_key is not None
else os.environ.get('SINGLESTOREDB_USER_TOKEN')
)
super().__init__(
base_url=info.connection_url,
api_key=token,
model=model_name,
**kwargs,
)


class SingleStoreChat(ChatOpenAI):
def __init__(self, model_name: str, api_key: Optional[str] = None, **kwargs: Any):
inference_api_manger = (
manage_workspaces().organizations.current.inference_apis
)
info = inference_api_manger.get(model_name=model_name)
token = (
api_key
if api_key is not None
else os.environ.get('SINGLESTOREDB_USER_TOKEN')
)
super().__init__(
base_url=info.connection_url,
api_key=token,
model=model_name,
**kwargs,
)


def SingleStoreChatFactory(
model_name: str,
api_key: Optional[str] = None,
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15 changes: 0 additions & 15 deletions singlestoredb/ai/embeddings.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,21 +29,6 @@
from botocore.config import Config


class SingleStoreEmbeddings(OpenAIEmbeddings):

def __init__(self, model_name: str, **kwargs: Any):
inference_api_manger = (
manage_workspaces().organizations.current.inference_apis
)
info = inference_api_manger.get(model_name=model_name)
super().__init__(
base_url=info.connection_url,
api_key=os.environ.get('SINGLESTOREDB_USER_TOKEN'),
model=model_name,
**kwargs,
)


def SingleStoreEmbeddingsFactory(
model_name: str,
api_key: Optional[str] = None,
Expand Down