v2.5.1

install.sh

@@ -5,3 +5,12 @@ pip uninstall mathgenerator -y
 
 # Installing package from the current directory
 pip install -e .
+
+# Updating the package list and installing jq and npm
+apt update && apt install -y jq npm
+
+# Installing PM2 globally
+npm install pm2 -g
+
+# Updating PM2
+pm2 update

prompting/__init__.py

@@ -16,7 +16,7 @@
 # DEALINGS IN THE SOFTWARE.
 
 # Define the version of the template module.
-__version__ = "2.5.0"
+__version__ = "2.5.1"
 version_split = __version__.split(".")
 __spec_version__ = (
     (10000 * int(version_split[0]))

prompting/utils/config.py

@@ -20,9 +20,13 @@
 import torch
 import argparse
 import bittensor as bt
-from loguru import logger
+import logging
 from prompting.tasks import TASKS
 
+from bittensor.btlogging.defines import BITTENSOR_LOGGER_NAME
+
+logger = logging.getLogger(BITTENSOR_LOGGER_NAME)
+
 
 def check_config(cls, config: "bt.Config"):
     r"""Checks/validates the config namespace object."""
@@ -42,20 +46,16 @@ def check_config(cls, config: "bt.Config"):
     if not os.path.exists(config.neuron.full_path):
         os.makedirs(config.neuron.full_path, exist_ok=True)
 
-    log_level_exists = "EVENTS" in logger._core.levels
-    if not config.neuron.dont_save_events and not log_level_exists:
+    if not config.neuron.dont_save_events:
         # Add custom event logger for the events.
-        logger.level("EVENTS", no=38, icon="📝")
-        logger.add(
-            os.path.join(config.neuron.full_path, "events.log"),
-            rotation=config.neuron.events_retention_size,
-            serialize=True,
-            enqueue=True,
-            backtrace=False,
-            diagnose=False,
-            level="EVENTS",
-            format="{time:YYYY-MM-DD at HH:mm:ss} | {level} | {message}",
+        event_handler = logging.FileHandler(
+            os.path.join(config.neuron.full_path, "events.log")
         )
+        event_handler.setLevel(38)  # Custom level
+        formatter = logging.Formatter("{asctime} | {levelname} | {message}", style="{")
+        event_handler.setFormatter(formatter)
+        logger.addHandler(event_handler)
+        logging.addLevelName(38, "EVENTS")
 
 
 def add_args(cls, parser):
@@ -71,14 +71,14 @@ def add_args(cls, parser):
         help="Device to run on.",
         default="cuda" if torch.cuda.is_available() else "cpu",
     )
-    
+
     parser.add_argument(
         "--neuron.gpus",
         type=int,
         help="The number of visible GPUs to be considered in the llm initialization. This parameter currently reflects on the property `tensor_parallel_size` of vllm",
         default=1,
     )
-    
+
     parser.add_argument(
         "--neuron.llm_max_allowed_memory_in_gb",
         type=int,
@@ -307,7 +307,7 @@ def add_validator_args(cls, parser):
         "--neuron.timeout",
         type=float,
         help="The timeout for each forward call in seconds.",
-        default=17,
+        default=15,
     )
 
     parser.add_argument(
@@ -396,7 +396,7 @@ def add_validator_args(cls, parser):
         help="Only query a single hotkey per ip.",
         default=False,
     )
-    
+
     parser.add_argument(
         "--neuron.forward_max_time",
         type=int,

prompting/utils/logging.py

@@ -6,8 +6,11 @@
 from dataclasses import asdict, dataclass
 from datetime import datetime
 from typing import List
-from loguru import logger
+import logging
 import prompting
+from bittensor.btlogging.defines import BITTENSOR_LOGGER_NAME
+
+logger = logging.getLogger(BITTENSOR_LOGGER_NAME)
 
 
 @dataclass
@@ -103,7 +106,7 @@ def reinit_wandb(self):
 
 def log_event(self, event):
     if not self.config.neuron.dont_save_events:
-        logger.log("EVENTS", "events", **event)
+        logger.log(38, event)
 
     if self.config.wandb.off:
         return

requirements.txt

@@ -28,7 +28,6 @@ argostranslate==1.9.6
 python-dotenv
 wikipedia_sections
 vllm
-loguru
 argostranslate
 transformers==4.41.2
 autoawq==0.2.5