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Remove testing code.
1 parent 40e12c2 commit 2b71fc8

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2 files changed

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-209
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2 files changed

+0
-209
lines changed

singlestoredb/ai/chat.py

Lines changed: 0 additions & 110 deletions
Original file line numberDiff line numberDiff line change
@@ -175,113 +175,3 @@ def _inject_headers(request: Any, **_ignored: Any) -> None:
175175
**openai_kwargs,
176176
**kwargs,
177177
)
178-
179-
180-
def NewSingleStoreChatFactory(
181-
model_name: str,
182-
api_key: Optional[str] = None,
183-
streaming: bool = True,
184-
http_client: Optional[httpx.Client] = None,
185-
obo_token_getter: Optional[Callable[[], Optional[str]]] = None,
186-
**kwargs: Any,
187-
) -> Union[ChatOpenAI, ChatBedrockConverse]:
188-
"""Return a chat model instance (ChatOpenAI or ChatBedrockConverse).
189-
"""
190-
inference_api_manager = (
191-
manage_workspaces().organizations.current.inference_apis
192-
)
193-
info = inference_api_manager.get(model_name=model_name)
194-
token_env = os.environ.get('SINGLESTOREDB_USER_TOKEN')
195-
token = api_key if api_key is not None else token_env
196-
197-
if info.hosting_platform == 'Amazon':
198-
# Instantiate Bedrock client
199-
cfg_kwargs = {
200-
'signature_version': UNSIGNED,
201-
'retries': {'max_attempts': 1, 'mode': 'standard'},
202-
}
203-
# Extract timeouts from http_client if provided
204-
t = http_client.timeout if http_client is not None else None
205-
connect_timeout = None
206-
read_timeout = None
207-
if t is not None:
208-
if isinstance(t, httpx.Timeout):
209-
if t.connect is not None:
210-
connect_timeout = float(t.connect)
211-
if t.read is not None:
212-
read_timeout = float(t.read)
213-
if connect_timeout is None and read_timeout is not None:
214-
connect_timeout = read_timeout
215-
if read_timeout is None and connect_timeout is not None:
216-
read_timeout = connect_timeout
217-
elif isinstance(t, (int, float)):
218-
connect_timeout = float(t)
219-
read_timeout = float(t)
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if read_timeout is not None:
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cfg_kwargs['read_timeout'] = read_timeout
222-
if connect_timeout is not None:
223-
cfg_kwargs['connect_timeout'] = connect_timeout
224-
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cfg = Config(**cfg_kwargs)
226-
client = boto3.client(
227-
'bedrock-runtime',
228-
endpoint_url=info.connection_url,
229-
region_name='us-east-1',
230-
aws_access_key_id='placeholder',
231-
aws_secret_access_key='placeholder',
232-
config=cfg,
233-
)
234-
235-
def _inject_headers(request: Any, **_ignored: Any) -> None:
236-
"""Inject dynamic auth/OBO headers prior to Bedrock sending."""
237-
if obo_token_getter is not None:
238-
obo_val = obo_token_getter()
239-
if obo_val:
240-
request.headers['X-S2-OBO'] = obo_val
241-
if token:
242-
request.headers['Authorization'] = f'Bearer {token}'
243-
request.headers.pop('X-Amz-Date', None)
244-
request.headers.pop('X-Amz-Security-Token', None)
245-
246-
emitter = client._endpoint._event_emitter
247-
emitter.register_first(
248-
'before-send.bedrock-runtime.Converse',
249-
_inject_headers,
250-
)
251-
emitter.register_first(
252-
'before-send.bedrock-runtime.ConverseStream',
253-
_inject_headers,
254-
)
255-
emitter.register_first(
256-
'before-send.bedrock-runtime.InvokeModel',
257-
_inject_headers,
258-
)
259-
emitter.register_first(
260-
'before-send.bedrock-runtime.InvokeModelWithResponseStream',
261-
_inject_headers,
262-
)
263-
264-
return ChatBedrockConverse(
265-
model_id=model_name,
266-
endpoint_url=info.connection_url,
267-
region_name='us-east-1',
268-
aws_access_key_id='placeholder',
269-
aws_secret_access_key='placeholder',
270-
disable_streaming=not streaming,
271-
client=client,
272-
**kwargs,
273-
)
274-
275-
# OpenAI / Azure OpenAI path
276-
openai_kwargs = dict(
277-
base_url=info.connection_url,
278-
api_key=token,
279-
model=model_name,
280-
streaming=streaming,
281-
)
282-
if http_client is not None:
283-
openai_kwargs['http_client'] = http_client
284-
return ChatOpenAI(
285-
**openai_kwargs,
286-
**kwargs,
287-
)

singlestoredb/ai/embeddings.py

Lines changed: 0 additions & 99 deletions
Original file line numberDiff line numberDiff line change
@@ -141,102 +141,3 @@ def _inject_headers(request: Any, **_ignored: Any) -> None:
141141
**openai_kwargs,
142142
**kwargs,
143143
)
144-
145-
146-
def NewSingleStoreEmbeddingsFactory(
147-
model_name: str,
148-
api_key: Optional[str] = None,
149-
http_client: Optional[httpx.Client] = None,
150-
obo_token_getter: Optional[Callable[[], Optional[str]]] = None,
151-
**kwargs: Any,
152-
) -> Union[OpenAIEmbeddings, BedrockEmbeddings]:
153-
"""Return an embeddings model instance (OpenAIEmbeddings or BedrockEmbeddings).
154-
"""
155-
inference_api_manager = (
156-
manage_workspaces().organizations.current.inference_apis
157-
)
158-
info = inference_api_manager.get(model_name=model_name)
159-
token_env = os.environ.get('SINGLESTOREDB_USER_TOKEN')
160-
token = api_key if api_key is not None else token_env
161-
162-
if info.hosting_platform == 'Amazon':
163-
# Instantiate Bedrock client
164-
cfg_kwargs = {
165-
'signature_version': UNSIGNED,
166-
'retries': {'max_attempts': 1, 'mode': 'standard'},
167-
}
168-
# Extract timeouts from http_client if provided
169-
t = http_client.timeout if http_client is not None else None
170-
connect_timeout = None
171-
read_timeout = None
172-
if t is not None:
173-
if isinstance(t, httpx.Timeout):
174-
if t.connect is not None:
175-
connect_timeout = float(t.connect)
176-
if t.read is not None:
177-
read_timeout = float(t.read)
178-
if connect_timeout is None and read_timeout is not None:
179-
connect_timeout = read_timeout
180-
if read_timeout is None and connect_timeout is not None:
181-
read_timeout = connect_timeout
182-
elif isinstance(t, (int, float)):
183-
connect_timeout = float(t)
184-
read_timeout = float(t)
185-
if read_timeout is not None:
186-
cfg_kwargs['read_timeout'] = read_timeout
187-
if connect_timeout is not None:
188-
cfg_kwargs['connect_timeout'] = connect_timeout
189-
190-
cfg = Config(**cfg_kwargs)
191-
client = boto3.client(
192-
'bedrock-runtime',
193-
endpoint_url=info.connection_url,
194-
region_name='us-east-1',
195-
aws_access_key_id='placeholder',
196-
aws_secret_access_key='placeholder',
197-
config=cfg,
198-
)
199-
200-
def _inject_headers(request: Any, **_ignored: Any) -> None:
201-
"""Inject dynamic auth/OBO headers prior to Bedrock sending."""
202-
if obo_token_getter is not None:
203-
obo_val = obo_token_getter()
204-
if obo_val:
205-
request.headers['X-S2-OBO'] = obo_val
206-
if token:
207-
request.headers['Authorization'] = f'Bearer {token}'
208-
request.headers.pop('X-Amz-Date', None)
209-
request.headers.pop('X-Amz-Security-Token', None)
210-
211-
emitter = client._endpoint._event_emitter
212-
emitter.register_first(
213-
'before-send.bedrock-runtime.InvokeModel',
214-
_inject_headers,
215-
)
216-
emitter.register_first(
217-
'before-send.bedrock-runtime.InvokeModelWithResponseStream',
218-
_inject_headers,
219-
)
220-
221-
return BedrockEmbeddings(
222-
model_id=model_name,
223-
endpoint_url=info.connection_url,
224-
region_name='us-east-1',
225-
aws_access_key_id='placeholder',
226-
aws_secret_access_key='placeholder',
227-
client=client,
228-
**kwargs,
229-
)
230-
231-
# OpenAI / Azure OpenAI path
232-
openai_kwargs = dict(
233-
base_url=info.connection_url,
234-
api_key=token,
235-
model=model_name,
236-
)
237-
if http_client is not None:
238-
openai_kwargs['http_client'] = http_client
239-
return OpenAIEmbeddings(
240-
**openai_kwargs,
241-
**kwargs,
242-
)

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