fix: macOS symlink compatibility + rename config to ~/.llm_config.sh

experience/example/naive_symbolic_transform_model/train.py

@@ -260,7 +260,7 @@ def log(msg=""):
 if __name__ == "__main__":
     # Source anthropic env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/llm_client/raw_llm_task_handler.py

@@ -86,7 +86,7 @@ async def _run_all():
 
     # Source LLM env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/llm_client/task_handler.py

@@ -25,7 +25,7 @@ def __call__(self, all_tasks, llm_method: str, llm_env: Optional[Dict[str, str]]
 
     # Source LLM env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/symbolic_tensor/function/coding_agent.py

@@ -144,7 +144,7 @@ def coding_agent(
 
     # Source anthropic env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/symbolic_tensor/function/fork_tensor.py

@@ -253,7 +253,7 @@ def backward(ctx, *grad_outputs):
 
     # Source anthropic env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/symbolic_tensor/function/get_query_tensor.py

@@ -114,7 +114,7 @@ def get_query_tensor(
 
     # Source env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/symbolic_tensor/function/slice_attention.py

@@ -183,7 +183,7 @@ def read_storage(tensor, flat_index):
 
     # Source anthropic env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/symbolic_tensor/function/slice_attention_backward.py

@@ -207,7 +207,7 @@ def slice_attention_backward(
 
     # Source anthropic env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/symbolic_tensor/function/st_moe.py

@@ -120,7 +120,7 @@ def backward(ctx, grad_output, grad_selected_indexes=None):
 
     # Source anthropic env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/symbolic_tensor/function/st_moe_backward.py

@@ -730,7 +730,7 @@ def st_moe_backward(
 
     # Source anthropic env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/symbolic_tensor/function/st_moe_forward.py

@@ -261,7 +261,7 @@ def st_moe_forward(
 
     # Source anthropic env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/symbolic_tensor/module/st_moe.py

@@ -79,7 +79,7 @@ def forward(self, input: torch.Tensor) -> Tuple[torch.Tensor, Any]:
 
     # Source anthropic env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/symbolic_tensor/optimizer/st_sgd.py

@@ -233,7 +233,7 @@ def zero_grad(self, set_to_none: bool = True) -> None:
 
     # Source anthropic env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/symbolic_tensor/tensor_util/make_tensor.py

@@ -117,8 +117,8 @@ def make_tensor(nested_data: NestedList, relative_to: str, symlink: bool = False
             src_path = str(opt_file_content_or_path)
             if symlink:
                 rel_src = os.path.relpath(
-                    str(opt_file_content_or_path.resolve()),
-                    os.path.dirname(file_path),
+                    os.path.realpath(str(opt_file_content_or_path)),
+                    os.path.realpath(os.path.dirname(file_path)),
                 )
                 os.symlink(rel_src, file_path)
             else:

experience/test/test_attention_vs_traditional.py

@@ -521,7 +521,7 @@ def run_test(name: str, condition: bool, expected=None, actual=None):
 
     # Source anthropic env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/test/test_gain_st_sgd.py

@@ -25,7 +25,7 @@ def read_storage(tensor, flat_index):
 if __name__ == "__main__":
     # Source anthropic env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/test/test_st_attention_followed_by_st_moe.py

@@ -101,7 +101,7 @@ def run_pipeline(model, inp, mask):
 if __name__ == "__main__":
     # Source anthropic env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():

experience/test/test_transform_method_time_comparison.py

@@ -38,7 +38,7 @@ def run_benchmark(input_data, experience_data, topk, llm_method):
 if __name__ == "__main__":
     # Source env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.anthropic.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():