tanuki.py
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Tanuki
Prompt engineering for developers
Suppressing userwarnings because of pydantic having a protected namespace with model_. We can't use ConfigDict because that isn't compatible with lower pydantic versions
**Is your feature request related to a problem? Please describe.** Currently tanuki only supports OpenAI finetuning. We should also support anyscale **Describe the solution you'd like** Tanuki needs a way...
**Is your feature request related to a problem? Please describe.** It is annoying and verbose having to configure functions individually. **Describe the solution you'd like** A config file should be...
**Is your feature request related to a problem? Please describe.** We need to support reading and saving data to S3 rather than only disk support **Describe the solution you'd like**...
**Is your feature request related to a problem? Please describe.** Too many anonymous telemetry calls are being sent. This creates unnecessary overhead. **Describe the solution you'd like** Reduce the number...
**Is your feature request related to a problem? Please describe.** We want to generalise the package by supporting local OSS models as students or teachers **Describe the solution you'd like**...
**Is your feature request related to a problem? Please describe.** LLMs are extremely inefficient at classification. XGBoost is better if the data is available. We could use the aligned data...
**Is your feature request related to a problem? Please describe.** Running any function is expensive due to the network hop required. **Describe the solution you'd like** Automatic caching to memory,...
Currently there is no automatic way to ensure that tests pass before code is merged into the trunk. This should be a priority.
Something is going wrong with the state management. When we run tests all together, several tests fail with errors such as: ``` self = def get_original(self): target = self.getter() name...