* Add the LLM_PROVIDER in example * fix the assert in testing recall * trial to fix failing client tests NotImplementedError: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device. * lock the sentence transformer packages to align with the breaking changes around lazy tensor loading * Add the LLM_PROVIDER in example * fix the assert in testing recall * trial to fix failing client tests * pre-cache the model so CI doesn't need workarounds * remove assert that is a race condition The test was checking that the bank count increased, but with parallel tests (-n 8), other tests can delete their banks while this test is running, causing a race condition. The important assertion is assert test_bank_id in final_banks - which verifies the bank was actually created. * add debug to figure out why docker build fails sometimes * use the CPU only version of pytorch to avoid pulling cuda libraries * add best match strategy to uv * change the example openai model |
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|---|---|---|
| .. | ||
| alembic | ||
| api | ||
| engine | ||
| __init__.py | ||
| banner.py | ||
| config.py | ||
| main.py | ||
| metrics.py | ||
| migrations.py | ||
| models.py | ||
| pg0.py | ||
| server.py | ||