Adding code run failure handling process & Update to align with the newest OpenAI package formats #34
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Description
Adding code run failure handling process:
This is done by query back to the API with the exception message and reward function code.
There is a new parameter added in the config.yaml called max_retries that limits the attempts to fix the buggy reward code and prevents infinite loop.
The current code can now at least generate 1 legit reward functions and, in most cases, generate all the num_samples to be executable.
Update to align with the newest OpenAI package formats:
According to openai/openai-python#742
OpenAI has released a new major version of its SDK, and they recommend upgrading promptly.
I reimplemented the queries and handling of responses to align with the new requirements.
Type of change
Related Issues
#4
#4 (comment)
Specific changes
Changed the eureka/eureka.py file's query method
Modulized the reward code processing by encapsulating it as a function for code reuse
eureka/cfg/config.yaml Changed by adding parameter max_retries and updating the model to gpt-4-1103-preview
Screenshots
Example of failed run and automatic code fix: