expose turbopuffer through CLI and make compatible with latest sdk

[lantingchiang]

This commit includes two changes:

1. Make the turbopuffer client runnable as a subcommand in the CLI like so: vectordbbench turbopuffer --help
2. The turbopuffer API calls in the current client implementation appear to be using the python SDK that's prior to v0.5. v0.5 introduced breaking changes (see https://github.com/turbopuffer/turbopuffer-python/blob/main/UPGRADING.md). Updated the API calls to conform with the new SDK version.

Testing locally:

$ vectordbbench turbopuffer  --api-key SECRET --case-type Performance768D1M --namespace vdbbench  --skip-drop-old --skip-load

2025-12-04 20:17:32,128 | INFO: Task:
TaskConfig(db=<DB.TurboPuffer: 'TurboPuffer'>, db_config=TurboPufferConfig(db_label='2025-12-04T20:17:32.061781', version='', note='', api_key=SecretStr('**********'), api_base_url='https://api.turbopuffer.com', namespace='vdbbench'), db_case_config=TurboPufferIndexConfig(metric_type=None, use_multi_ns_for_filter=False, time_wait_warmup=60), case_config=CaseConfig(case_id=<CaseType.Performance768D1M: 5>, custom_case={}, k=100, concurrency_search_config=ConcurrencySearchConfig(num_concurrency=[1, 5, 10, 20, 30, 40, 60, 80], concurrency_duration=30, concurrency_timeout=3600)), stages=['search_serial', 'search_concurrent'])
 (cli.py:649) (43040)
2025-12-04 20:17:32,128 | INFO: generated uuid for the tasks: cd18598c871d4b99a3ad5e1863cc4947 (interface.py:76) (43040)
2025-12-04 20:17:32,309 | INFO | DB             | CaseType     Dataset               Filter | task_label (task_runner.py:400)
2025-12-04 20:17:32,310 | INFO | -----------    | ------------ -------------------- ------- | -------    (task_runner.py:400)
2025-12-04 20:17:32,310 | INFO | TurboPuffer-2025-12-04T20:17:32.061781 | Performance  Cohere-MEDIUM-1M         0.0 | cd18598c871d4b99a3ad5e1863cc4947 (task_runner.py:400)
2025-12-04 20:17:32,310 | INFO: task submitted: id=cd18598c871d4b99a3ad5e1863cc4947, cd18598c871d4b99a3ad5e1863cc4947, case number: 1 (interface.py:251) (43040)
2025-12-04 20:17:33,032 | INFO: [1/1] start case: {'label': <CaseLabel.Performance: 2>, 'name': 'Search Performance Test (1M Dataset, 768 Dim)', 'dataset': {'data': {'name': 'Cohere', 'size': 1000000, 'dim': 768, 'metric_type': <MetricType.COSINE: 'COSINE'>}}, 'db': 'TurboPuffer-2025-12-04T20:17:32.061781'}, drop_old=False (interface.py:181) (43105)
2025-12-04 20:17:33,033 | INFO: Starting run (task_runner.py:138) (43105)
2025-12-04 20:17:33,341 | INFO: local dataset root path not exist, creating it: /tmp/vectordb_bench/dataset/cohere/cohere_medium_1m (data_source.py:124) (43105)
2025-12-04 20:17:33,341 | INFO: Start to downloading files, total count: 4 (data_source.py:140) (43105)
 25%|███████████████████████████▊                                                                                   | 1 50%|███████████████████████████████████████████████████████▌                                                       | 2 75%|███████████████████████████████████████████████████████████████████████████████████▎                           | 3100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████| 4/4 [00:48<00:00, 12.19s/it]
2025-12-04 20:18:22,119 | INFO: Succeed to download all files, downloaded file count = 4 (data_source.py:145) (43105)
2025-12-04 20:18:22,119 | INFO: Read the entire file into memory: test.parquet (dataset.py:392) (43105)
2025-12-04 20:18:22,160 | INFO: Read the entire file into memory: neighbors.parquet (dataset.py:392) (43105)
2025-12-04 20:18:22,214 | INFO: Start performance case (task_runner.py:183) (43105)
2025-12-04 20:18:22,945 | INFO: Start search 30s in concurrency 1, filters: type=<FilterOp.NonFilter: 'NonFilter'> filter_rate=0.0 gt_file_name='neighbors.parquet' (mp_runner.py:116) (43105)
...

[lantingchiang]

/assign @XuanYang-cn

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[APPROVALNOTIFIER] This PR is NOT APPROVED

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[alwayslove2013]

@lantingchiang Good job! We’re really excited to merge this PR, but we’ve noticed a few lint issues that need to be addressed~

pip install black ruff --upgrade
make format
make lint

[lantingchiang]

@alwayslove2013 thanks! Ran the linting & updated. Would you mind approving the workflow?