all gpt-4

cortext/__init__.py

@@ -19,7 +19,7 @@
 
 
 # version must stay on line 22
-__version__ = "3.2.8"
+__version__ = "3.2.9"
 version_split = __version__.split(".")
 __spec_version__ = (
     (1000 * int(version_split[0]))

test_scripts/t2t/test_claude.py

@@ -50,6 +50,7 @@ async def call_claude(messages, max_tokens, model):
     # Send final message to close the stream
     print("\n")
 
+
 # non streaming
 # async def call_claude(messages, max_tokens, model):
 #     filtered_messages = []

validators/text_validator.py

@@ -77,7 +77,7 @@ async def start_query(self, available_uids, metagraph) -> tuple[list, dict]:
             query_tasks = []
             uid_to_question = {}
             # Randomly choose the provider based on specified probabilities
-            providers = ["OpenAI"] * 70 + ["Anthropic"] * 0 + ["Gemini"] * 0 + ["Claude"] * 30
+            providers = ["OpenAI"] * 100 + ["Anthropic"] * 0 + ["Gemini"] * 0 + ["Claude"] * 0
             self.provider = random.choice(providers)
 
             if self.provider == "Anthropic":
@@ -86,8 +86,8 @@ async def start_query(self, available_uids, metagraph) -> tuple[list, dict]:
                 # gemini models = ["gemini-pro"]
                 self.model = "anthropic.claude-v2:1"
             elif self.provider == "OpenAI":
-                # self.model = "gpt-4-1106-preview"
-                self.model = "gpt-3.5-turbo"
+                self.model = "gpt-4-1106-preview"
+                # self.model = "gpt-3.5-turbo"
 
             elif self.provider == "Gemini":
                 self.model = "gemini-pro"
@@ -118,7 +118,7 @@ async def start_query(self, available_uids, metagraph) -> tuple[list, dict]:
 
     def should_i_score(self):
         random_number = random.random()
-        will_score_all = random_number < 1 / 2
+        will_score_all = random_number < 1 / 12
         bt.logging.info(f"Random Number: {random_number}, Will score text responses: {will_score_all}")
         return will_score_all