results/nanoGPT_lite/20241028_081814_codegenerationandcompletion/20241028_081814_codegenerationandcompletion_aider.txt

# aider chat started at 2024-10-28 08:18:14


#### Your goal is to implement the following idea: Code Generation and Completion Using Character-Level Transformers: A Feasibility Study.  
#### The proposed experiment is as follows: ['1. Preprocess an existing codebase to fit the character-level format required by the model. This can include Python, JavaScript, or any other programming language.', '2. Modify the training script to include a new dataset of code snippets and ensure the model is trained on this dataset.', "3. Implement a function to evaluate the model's ability to generate complete code snippets from partial inputs (code completion).", "4. Evaluate the model's performance by comparing generated code snippets with human-written code in terms of syntax correctness and functionality.", '5. Analyze the results to determine the feasibility and accuracy of the model for code generation and completion tasks.', '6. Explore the potential of the model for simple code transformations, such as refactoring or error correction.'].  
#### You are given a total of up to 5 runs to complete the necessary experiments. You do not need to use all 5.  
####   
#### First, plan the list of experiments you would like to run. For example, if you are sweeping over a specific hyperparameter, plan each value you would like to test for each run.  
####   
#### Note that we already provide the vanilla baseline results, so you do not need to re-run it.  
####   
#### For reference, the baseline results are as follows:  
####   
#### {'shakespeare_char': {'final_train_loss_mean': 0.8173830509185791, 'best_val_loss_mean': 1.4637625217437744, 'total_train_time_mean': 92.05195260047913, 'avg_inference_tokens_per_second_mean': 697.3658396135052}}  
####   
#### After you complete each change, we will run the command `python experiment.py --out_dir=run_i' where i is the run number and evaluate the results.  
#### YOUR PROPOSED CHANGE MUST USE THIS COMMAND FORMAT, DO NOT ADD ADDITIONAL COMMAND LINE ARGS.  
#### You can then implement the next thing on your list.  
> Unexpected error: litellm.AuthenticationError: AuthenticationError: Fireworks_aiException - The api_key client option must be set either by passing api_key to the client or by setting the FIREWORKS_AI_API_KEY environment variable  
> Traceback (most recent call last):  
> File "/home/fdpp28/miniconda3/envs/x/lib/python3.11/site-packages/litellm/llms/OpenAI/openai.py", line 907, in completion  
> raise e  
> File "/home/fdpp28/miniconda3/envs/x/lib/python3.11/site-packages/litellm/llms/OpenAI/openai.py", line 802, in completion  
> openai_client: OpenAI = self._get_openai_client(  # type: ignore  
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^  
> File "/home/fdpp28/miniconda3/envs/x/lib/python3.11/site-packages/litellm/llms/OpenAI/openai.py", line 617, in _get_openai_client  
> _new_client = OpenAI(  
> ^^^^^^^  
> File "/home/fdpp28/miniconda3/envs/x/lib/python3.11/site-packages/openai/_client.py", line 105, in __init__  
> raise OpenAIError(  
> openai.OpenAIError: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable  
>  
> During handling of the above exception, another exception occurred:  
>  
> Traceback (most recent call last):  
> File "/home/fdpp28/miniconda3/envs/x/lib/python3.11/site-packages/litellm/main.py", line 1419, in completion  
> raise e  
> File "/home/fdpp28/miniconda3/envs/x/lib/python3.11/site-packages/litellm/main.py", line 1392, in completion  
> response = openai_chat_completions.completion(  
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^  
> File "/home/fdpp28/miniconda3/envs/x/lib/python3.11/site-packages/litellm/llms/OpenAI/openai.py", line 914, in completion  
> raise OpenAIError(  
> litellm.llms.OpenAI.openai.OpenAIError: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable  
>  
> During handling of the above exception, another exception occurred:  
>  
> Traceback (most recent call last):  
> File "/home/fdpp28/miniconda3/envs/x/lib/python3.11/site-packages/aider/coders/base_coder.py", line 1129, in send_message  
> yield from self.send(messages, functions=self.functions)  
> File "/home/fdpp28/miniconda3/envs/x/lib/python3.11/site-packages/aider/coders/base_coder.py", line 1414, in send  
> hash_object, completion = send_completion(  
> ^^^^^^^^^^^^^^^^  
> File "/home/fdpp28/miniconda3/envs/x/lib/python3.11/site-packages/aider/sendchat.py", line 85, in send_completion  
> res = litellm.completion(**kwargs)  
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^  
> File "/home/fdpp28/miniconda3/envs/x/lib/python3.11/site-packages/litellm/utils.py", line 1086, in wrapper  
> raise e  
> File "/home/fdpp28/miniconda3/envs/x/lib/python3.11/site-packages/litellm/utils.py", line 974, in wrapper  
> result = original_function(*args, **kwargs)  
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^  
> File "/home/fdpp28/miniconda3/envs/x/lib/python3.11/site-packages/litellm/main.py", line 2847, in completion  
> raise exception_type(  
> ^^^^^^^^^^^^^^^  
> File "/home/fdpp28/miniconda3/envs/x/lib/python3.11/site-packages/litellm/utils.py", line 8194, in exception_type  
> raise e  
> File "/home/fdpp28/miniconda3/envs/x/lib/python3.11/site-packages/litellm/utils.py", line 6492, in exception_type  
> raise AuthenticationError(  
> litellm.exceptions.AuthenticationError: litellm.AuthenticationError: AuthenticationError: Fireworks_aiException - The api_key client option must be set either by passing api_key to the client or by setting the FIREWORKS_AI_API_KEY environment variable