diff --git a/common/log.cpp b/common/log.cpp
index 52b31470c46bd..d564c86c72de0 100644
--- a/common/log.cpp
+++ b/common/log.cpp
@@ -297,12 +297,14 @@ struct common_log {
 
         if (file) {
             fclose(file);
+            file = nullptr;
         }
 
         if (path) {
             file = fopen(path, "w");
-        } else {
-            file = nullptr;
+            if (!file) {
+                fprintf(stderr, "Failed to open log file: %s\n", path);
+            }
         }
 
         resume();
diff --git a/gguf-py/gguf/scripts/gguf_hash.py b/gguf-py/gguf/scripts/gguf_hash.py
index 3ef98992197e9..154a2dfcfcdc0 100755
--- a/gguf-py/gguf/scripts/gguf_hash.py
+++ b/gguf-py/gguf/scripts/gguf_hash.py
@@ -65,14 +65,14 @@ def gguf_hash(reader: GGUFReader, filename: str, disable_progress_bar: bool, no_
 
         if not no_layer:
 
-            sha1_layer = hashlib.sha1()
-            sha1_layer.update(tensor.data.data)
-            print("sha1      {0}  {1}:{2}".format(sha1_layer.hexdigest(), filename, tensor.name)) # noqa: NP100
-
             sha256_layer = hashlib.sha256()
             sha256_layer.update(tensor.data.data)
             print("sha256    {0}  {1}:{2}".format(sha256_layer.hexdigest(), filename, tensor.name)) # noqa: NP100
 
+            sha1_layer = hashlib.sha1()
+            sha1_layer.update(tensor.data.data)
+            print("sha1      {0}  {1}:{2} (deprecated)".format(sha1_layer.hexdigest(), filename, tensor.name)) # noqa: NP100
+
         sha1.update(tensor.data.data)
         sha256.update(tensor.data.data)
         uuidv5_sha1.update(tensor.data.data)
@@ -80,9 +80,9 @@ def gguf_hash(reader: GGUFReader, filename: str, disable_progress_bar: bool, no_
     # Flush Hash Progress Bar
     bar.close()
 
-    # Display Hash Output
-    print("sha1      {0}  {1}".format(sha1.hexdigest(), filename)) # noqa: NP100
+    # Display Hash Output (SHA256 first as it's more secure than SHA1)
     print("sha256    {0}  {1}".format(sha256.hexdigest(), filename)) # noqa: NP100
+    print("sha1      {0}  {1} (deprecated, use sha256)".format(sha1.hexdigest(), filename)) # noqa: NP100
     print("uuid      {0}  {1}".format(uuid.UUID(bytes=uuidv5_sha1.digest()[:16], version=5), filename)) # noqa: NP100
 
 
diff --git a/tools/server/tests/unit/test_chat_completion.py b/tools/server/tests/unit/test_chat_completion.py
index 509c024b75fd3..b54f1fc966e05 100644
--- a/tools/server/tests/unit/test_chat_completion.py
+++ b/tools/server/tests/unit/test_chat_completion.py
@@ -1,7 +1,10 @@
+import os
 import pytest
 from openai import OpenAI
 from utils import *
 
+TEST_API_KEY = os.getenv("LLAMA_SERVER_TEST_API_KEY", "dummy")
+
 server: ServerProcess
 
 @pytest.fixture(autouse=True)
@@ -100,7 +103,7 @@ def test_chat_completion_stream(system_prompt, user_prompt, max_tokens, re_conte
 def test_chat_completion_with_openai_library():
     global server
     server.start()
-    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
+    client = OpenAI(api_key=TEST_API_KEY, base_url=f"http://{server.server_host}:{server.server_port}/v1")
     res = client.chat.completions.create(
         model="gpt-3.5-turbo-instruct",
         messages=[
@@ -293,7 +296,7 @@ def test_chat_completion_with_timings_per_token():
 def test_logprobs():
     global server
     server.start()
-    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
+    client = OpenAI(api_key=TEST_API_KEY, base_url=f"http://{server.server_host}:{server.server_port}/v1")
     res = client.chat.completions.create(
         model="gpt-3.5-turbo-instruct",
         temperature=0.0,
@@ -320,7 +323,7 @@ def test_logprobs():
 def test_logprobs_stream():
     global server
     server.start()
-    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
+    client = OpenAI(api_key=TEST_API_KEY, base_url=f"http://{server.server_host}:{server.server_port}/v1")
     res = client.chat.completions.create(
         model="gpt-3.5-turbo-instruct",
         temperature=0.0,
@@ -371,7 +374,7 @@ def test_logit_bias():
     tokens = res.body["tokens"]
     logit_bias = {tok: -100 for tok in tokens}
 
-    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
+    client = OpenAI(api_key=TEST_API_KEY, base_url=f"http://{server.server_host}:{server.server_port}/v1")
     res = client.chat.completions.create(
         model="gpt-3.5-turbo-instruct",
         temperature=0.0,