From 1c754883a51d0dafef8f7290dd1213b6a82b94f9 Mon Sep 17 00:00:00 2001
From: JewelRoam <2752594773@qq.com>
Date: Fri, 3 Apr 2026 18:33:48 +0800
Subject: [PATCH 1/3] fix: normalize both sides of relpath in symlink mode for
 macOS compatibility

On macOS, Path.resolve() returns /private/var/... while raw tmpdir paths
use /var/..., causing os.path.relpath to compute broken relative symlinks.
Apply os.path.realpath to both source and destination before computing
the relative path.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---
 experience/symbolic_tensor/tensor_util/make_tensor.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/experience/symbolic_tensor/tensor_util/make_tensor.py b/experience/symbolic_tensor/tensor_util/make_tensor.py
index f81b4a8..9eb9140 100644
--- a/experience/symbolic_tensor/tensor_util/make_tensor.py
+++ b/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:

From abd78170ba1f142c00a522ef9c463ca142b78562 Mon Sep 17 00:00:00 2001
From: JewelRoam <2752594773@qq.com>
Date: Fri, 3 Apr 2026 19:36:48 +0800
Subject: [PATCH 2/3] =?UTF-8?q?rename:=20~/.anthropic.sh=20=E2=86=92=20~/.?=
 =?UTF-8?q?LLM=5Fconfig.sh=20across=20all=20files?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---
 demo/auto-encoder/claude.py                                     | 2 +-
 demo/auto-encoder/loop_run.py                                   | 2 +-
 experience/example/naive_symbolic_transform_model/train.py      | 2 +-
 experience/llm_client/raw_llm_task_handler.py                   | 2 +-
 experience/llm_client/task_handler.py                           | 2 +-
 experience/symbolic_tensor/function/coding_agent.py             | 2 +-
 experience/symbolic_tensor/function/fork_tensor.py              | 2 +-
 experience/symbolic_tensor/function/get_query_tensor.py         | 2 +-
 experience/symbolic_tensor/function/slice_attention.py          | 2 +-
 experience/symbolic_tensor/function/slice_attention_backward.py | 2 +-
 experience/symbolic_tensor/function/st_moe.py                   | 2 +-
 experience/symbolic_tensor/function/st_moe_backward.py          | 2 +-
 experience/symbolic_tensor/function/st_moe_forward.py           | 2 +-
 experience/symbolic_tensor/module/st_moe.py                     | 2 +-
 experience/symbolic_tensor/optimizer/st_sgd.py                  | 2 +-
 experience/test/test_attention_vs_traditional.py                | 2 +-
 experience/test/test_gain_st_sgd.py                             | 2 +-
 experience/test/test_st_attention_followed_by_st_moe.py         | 2 +-
 experience/test/test_transform_method_time_comparison.py        | 2 +-
 19 files changed, 19 insertions(+), 19 deletions(-)

diff --git a/demo/auto-encoder/claude.py b/demo/auto-encoder/claude.py
index 32ae648..6913558 100644
--- a/demo/auto-encoder/claude.py
+++ b/demo/auto-encoder/claude.py
@@ -333,7 +333,7 @@ def run_experiment(
 
     # Setup environment for LLM API
     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():
diff --git a/demo/auto-encoder/loop_run.py b/demo/auto-encoder/loop_run.py
index 48b09a3..8a3d034 100644
--- a/demo/auto-encoder/loop_run.py
+++ b/demo/auto-encoder/loop_run.py
@@ -5,7 +5,7 @@
 
 # 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():
diff --git a/experience/example/naive_symbolic_transform_model/train.py b/experience/example/naive_symbolic_transform_model/train.py
index 0a12e21..f424b8e 100644
--- a/experience/example/naive_symbolic_transform_model/train.py
+++ b/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():
diff --git a/experience/llm_client/raw_llm_task_handler.py b/experience/llm_client/raw_llm_task_handler.py
index 3646958..16b3a53 100644
--- a/experience/llm_client/raw_llm_task_handler.py
+++ b/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():
diff --git a/experience/llm_client/task_handler.py b/experience/llm_client/task_handler.py
index 68fc87f..287d74f 100644
--- a/experience/llm_client/task_handler.py
+++ b/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():
diff --git a/experience/symbolic_tensor/function/coding_agent.py b/experience/symbolic_tensor/function/coding_agent.py
index 42923fb..ad4a92a 100644
--- a/experience/symbolic_tensor/function/coding_agent.py
+++ b/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():
diff --git a/experience/symbolic_tensor/function/fork_tensor.py b/experience/symbolic_tensor/function/fork_tensor.py
index ee43296..3ca9983 100644
--- a/experience/symbolic_tensor/function/fork_tensor.py
+++ b/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():
diff --git a/experience/symbolic_tensor/function/get_query_tensor.py b/experience/symbolic_tensor/function/get_query_tensor.py
index 11096ae..4aa9a64 100644
--- a/experience/symbolic_tensor/function/get_query_tensor.py
+++ b/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():
diff --git a/experience/symbolic_tensor/function/slice_attention.py b/experience/symbolic_tensor/function/slice_attention.py
index bb0c438..7e15b53 100644
--- a/experience/symbolic_tensor/function/slice_attention.py
+++ b/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():
diff --git a/experience/symbolic_tensor/function/slice_attention_backward.py b/experience/symbolic_tensor/function/slice_attention_backward.py
index 70f2b3a..aeffda5 100644
--- a/experience/symbolic_tensor/function/slice_attention_backward.py
+++ b/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():
diff --git a/experience/symbolic_tensor/function/st_moe.py b/experience/symbolic_tensor/function/st_moe.py
index e40b218..1985d0e 100644
--- a/experience/symbolic_tensor/function/st_moe.py
+++ b/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():
diff --git a/experience/symbolic_tensor/function/st_moe_backward.py b/experience/symbolic_tensor/function/st_moe_backward.py
index 7d3c3c9..2de43c7 100644
--- a/experience/symbolic_tensor/function/st_moe_backward.py
+++ b/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():
diff --git a/experience/symbolic_tensor/function/st_moe_forward.py b/experience/symbolic_tensor/function/st_moe_forward.py
index 558145f..8ac3b5b 100644
--- a/experience/symbolic_tensor/function/st_moe_forward.py
+++ b/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():
diff --git a/experience/symbolic_tensor/module/st_moe.py b/experience/symbolic_tensor/module/st_moe.py
index 48a5d27..916cc65 100644
--- a/experience/symbolic_tensor/module/st_moe.py
+++ b/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():
diff --git a/experience/symbolic_tensor/optimizer/st_sgd.py b/experience/symbolic_tensor/optimizer/st_sgd.py
index 1c684aa..a002021 100644
--- a/experience/symbolic_tensor/optimizer/st_sgd.py
+++ b/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():
diff --git a/experience/test/test_attention_vs_traditional.py b/experience/test/test_attention_vs_traditional.py
index 3d77be1..67ad15d 100644
--- a/experience/test/test_attention_vs_traditional.py
+++ b/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():
diff --git a/experience/test/test_gain_st_sgd.py b/experience/test/test_gain_st_sgd.py
index 8b93a9b..b679a56 100644
--- a/experience/test/test_gain_st_sgd.py
+++ b/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():
diff --git a/experience/test/test_st_attention_followed_by_st_moe.py b/experience/test/test_st_attention_followed_by_st_moe.py
index a669fd6..1213fc7 100644
--- a/experience/test/test_st_attention_followed_by_st_moe.py
+++ b/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():
diff --git a/experience/test/test_transform_method_time_comparison.py b/experience/test/test_transform_method_time_comparison.py
index 3a592d6..b5b802e 100644
--- a/experience/test/test_transform_method_time_comparison.py
+++ b/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():

From b54def9994f4ca5b0fe0f3bc60a07c303e20cf7a Mon Sep 17 00:00:00 2001
From: JewelRoam <2752594773@qq.com>
Date: Fri, 3 Apr 2026 19:50:44 +0800
Subject: [PATCH 3/3] =?UTF-8?q?rename:=20~/.LLM=5Fconfig.sh=20=E2=86=92=20?=
 =?UTF-8?q?~/.llm=5Fconfig.sh=20(lowercase)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---
 demo/auto-encoder/claude.py                                     | 2 +-
 demo/auto-encoder/loop_run.py                                   | 2 +-
 experience/example/naive_symbolic_transform_model/train.py      | 2 +-
 experience/llm_client/raw_llm_task_handler.py                   | 2 +-
 experience/llm_client/task_handler.py                           | 2 +-
 experience/symbolic_tensor/function/coding_agent.py             | 2 +-
 experience/symbolic_tensor/function/fork_tensor.py              | 2 +-
 experience/symbolic_tensor/function/get_query_tensor.py         | 2 +-
 experience/symbolic_tensor/function/slice_attention.py          | 2 +-
 experience/symbolic_tensor/function/slice_attention_backward.py | 2 +-
 experience/symbolic_tensor/function/st_moe.py                   | 2 +-
 experience/symbolic_tensor/function/st_moe_backward.py          | 2 +-
 experience/symbolic_tensor/function/st_moe_forward.py           | 2 +-
 experience/symbolic_tensor/module/st_moe.py                     | 2 +-
 experience/symbolic_tensor/optimizer/st_sgd.py                  | 2 +-
 experience/test/test_attention_vs_traditional.py                | 2 +-
 experience/test/test_gain_st_sgd.py                             | 2 +-
 experience/test/test_st_attention_followed_by_st_moe.py         | 2 +-
 experience/test/test_transform_method_time_comparison.py        | 2 +-
 19 files changed, 19 insertions(+), 19 deletions(-)

diff --git a/demo/auto-encoder/claude.py b/demo/auto-encoder/claude.py
index 6913558..6f93662 100644
--- a/demo/auto-encoder/claude.py
+++ b/demo/auto-encoder/claude.py
@@ -333,7 +333,7 @@ def run_experiment(
 
     # Setup environment for LLM API
     result = subprocess.run(
-        ["bash", "-c", "source ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/demo/auto-encoder/loop_run.py b/demo/auto-encoder/loop_run.py
index 8a3d034..c8d1644 100644
--- a/demo/auto-encoder/loop_run.py
+++ b/demo/auto-encoder/loop_run.py
@@ -5,7 +5,7 @@
 
 # Source anthropic env vars
 result = subprocess.run(
-    ["bash", "-c", "source ~/.LLM_config.sh && env"],
+    ["bash", "-c", "source ~/.llm_config.sh && env"],
     capture_output=True, text=True,
 )
 for line in result.stdout.splitlines():
diff --git a/experience/example/naive_symbolic_transform_model/train.py b/experience/example/naive_symbolic_transform_model/train.py
index f424b8e..3833a66 100644
--- a/experience/example/naive_symbolic_transform_model/train.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/llm_client/raw_llm_task_handler.py b/experience/llm_client/raw_llm_task_handler.py
index 16b3a53..d07f949 100644
--- a/experience/llm_client/raw_llm_task_handler.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/llm_client/task_handler.py b/experience/llm_client/task_handler.py
index 287d74f..057f998 100644
--- a/experience/llm_client/task_handler.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/symbolic_tensor/function/coding_agent.py b/experience/symbolic_tensor/function/coding_agent.py
index ad4a92a..6c0b936 100644
--- a/experience/symbolic_tensor/function/coding_agent.py
+++ b/experience/symbolic_tensor/function/coding_agent.py
@@ -144,7 +144,7 @@ def coding_agent(
 
     # Source anthropic env vars
     result = subprocess.run(
-        ["bash", "-c", "source ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/symbolic_tensor/function/fork_tensor.py b/experience/symbolic_tensor/function/fork_tensor.py
index 3ca9983..2bbcc56 100644
--- a/experience/symbolic_tensor/function/fork_tensor.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/symbolic_tensor/function/get_query_tensor.py b/experience/symbolic_tensor/function/get_query_tensor.py
index 4aa9a64..880a61c 100644
--- a/experience/symbolic_tensor/function/get_query_tensor.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/symbolic_tensor/function/slice_attention.py b/experience/symbolic_tensor/function/slice_attention.py
index 7e15b53..a030007 100644
--- a/experience/symbolic_tensor/function/slice_attention.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/symbolic_tensor/function/slice_attention_backward.py b/experience/symbolic_tensor/function/slice_attention_backward.py
index aeffda5..9de546b 100644
--- a/experience/symbolic_tensor/function/slice_attention_backward.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/symbolic_tensor/function/st_moe.py b/experience/symbolic_tensor/function/st_moe.py
index 1985d0e..8f6a3c3 100644
--- a/experience/symbolic_tensor/function/st_moe.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/symbolic_tensor/function/st_moe_backward.py b/experience/symbolic_tensor/function/st_moe_backward.py
index 2de43c7..fb352cf 100644
--- a/experience/symbolic_tensor/function/st_moe_backward.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/symbolic_tensor/function/st_moe_forward.py b/experience/symbolic_tensor/function/st_moe_forward.py
index 8ac3b5b..b1821c1 100644
--- a/experience/symbolic_tensor/function/st_moe_forward.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/symbolic_tensor/module/st_moe.py b/experience/symbolic_tensor/module/st_moe.py
index 916cc65..2b6a537 100644
--- a/experience/symbolic_tensor/module/st_moe.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/symbolic_tensor/optimizer/st_sgd.py b/experience/symbolic_tensor/optimizer/st_sgd.py
index a002021..093edba 100644
--- a/experience/symbolic_tensor/optimizer/st_sgd.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/test/test_attention_vs_traditional.py b/experience/test/test_attention_vs_traditional.py
index 67ad15d..382e0d0 100644
--- a/experience/test/test_attention_vs_traditional.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/test/test_gain_st_sgd.py b/experience/test/test_gain_st_sgd.py
index b679a56..f7bbae6 100644
--- a/experience/test/test_gain_st_sgd.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/test/test_st_attention_followed_by_st_moe.py b/experience/test/test_st_attention_followed_by_st_moe.py
index 1213fc7..5b48cdd 100644
--- a/experience/test/test_st_attention_followed_by_st_moe.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():
diff --git a/experience/test/test_transform_method_time_comparison.py b/experience/test/test_transform_method_time_comparison.py
index b5b802e..8bfed54 100644
--- a/experience/test/test_transform_method_time_comparison.py
+++ b/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 ~/.LLM_config.sh && env"],
+        ["bash", "-c", "source ~/.llm_config.sh && env"],
         capture_output=True, text=True,
     )
     for line in result.stdout.splitlines():