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Change default model from MODEL_1 to MODEL_0 to match stable config

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Respects existing stable configuration where:
- MODEL_0 = Hermes (default for classification and feedback)
- MODEL_1 = Qwen (for code generation)
- MODEL_2 = GPT

Updated:
- All function defaults in activity.py: MODEL_1 -> MODEL_0
- activity37: Uses MODEL_0 for classification, MODEL_1 for code feedback

This works with the existing environment variable setup without requiring changes to vars.sh.
This commit is contained in:
Claude 2025-11-08 19:53:46 +00:00
parent 8cebcbf118
commit 3c3b8bd493
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2 changed files with 19 additions and 31 deletions
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30
activity.py
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@ -91,7 +91,7 @@ def get_activity_content(file_path):
def loop_through_steps_until_question(
activity_content, activity_state, room_name, username, classifier_model="MODEL_1", feedback_model="MODEL_1"
activity_content, activity_state, room_name, username, classifier_model="MODEL_0", feedback_model="MODEL_0"
):
room = get_room(room_name)
@ -223,9 +223,9 @@ def start_activity(room_name, s3_file_path, username):
db.session.commit()
# Get model configuration from activity content if specified
# Default to MODEL_1 (Hermes) for both - fast, accurate, and always available
classifier_model = activity_content.get("classifier_model", "MODEL_1")
feedback_model = activity_content.get("feedback_model", "MODEL_1")
# Default to MODEL_0 (Hermes) for both - fast, accurate, and always available
classifier_model = activity_content.get("classifier_model", "MODEL_0")
feedback_model = activity_content.get("feedback_model", "MODEL_0")
# Loop through steps until a question is found or the end is reached
loop_through_steps_until_question(
@ -335,7 +335,7 @@ def execute_processing_script(metadata, script):
return local_env["script_result"]
def handle_activity_response(room_name, user_response, username, model="MODEL_1"):
def handle_activity_response(room_name, user_response, username, model="MODEL_0"):
with app.app_context():
room = get_room(room_name)
activity_state = ActivityState.query.filter_by(room_id=room.id).first()
@ -347,9 +347,9 @@ def handle_activity_response(room_name, user_response, username, model="MODEL_1"
activity_content = get_activity_content(activity_state.s3_file_path)
# Get activity-level model defaults
# Default to MODEL_1 (Hermes) for both - fast, accurate, and always available
default_classifier_model = activity_content.get("classifier_model", "MODEL_1")
default_feedback_model = activity_content.get("feedback_model", "MODEL_1")
# Default to MODEL_0 (Hermes) for both - fast, accurate, and always available
default_classifier_model = activity_content.get("classifier_model", "MODEL_0")
default_feedback_model = activity_content.get("feedback_model", "MODEL_0")
try:
# Find the current section and step
@ -921,7 +921,7 @@ def handle_activity_response(room_name, user_response, username, model="MODEL_1"
)
def display_activity_info(room_name, username, model="MODEL_1"):
def display_activity_info(room_name, username, model="MODEL_0"):
with app.app_context():
room = get_room(room_name)
activity_state = ActivityState.query.filter_by(room_id=room.id).first()
@ -1009,7 +1009,7 @@ def display_activity_info(room_name, username, model="MODEL_1"):
print(f"Exception: {e}")
def generate_grading(chat_history, rubric, model="MODEL_1"):
def generate_grading(chat_history, rubric, model="MODEL_0"):
# Use provided model or fall back to default
if model and model != "None":
openai_client, model_name = get_openai_client_and_model(model)
@ -1061,7 +1061,7 @@ def get_next_step(activity_content, current_section_id, current_step_id):
# Categorize the user's response.
def categorize_response(question, response, buckets, tokens_for_ai, model="MODEL_1"):
def categorize_response(question, response, buckets, tokens_for_ai, model="MODEL_0"):
# Use provided model or fall back to default
if model and model != "None":
openai_client, model_name = get_openai_client_and_model(model)
@ -1142,7 +1142,7 @@ def generate_ai_feedback(
username,
json_metadata,
json_new_metadata,
model="MODEL_1",
model="MODEL_0",
):
# Use provided model or fall back to default
if model and model != "None":
@ -1180,7 +1180,7 @@ def provide_feedback(
username,
json_metadata,
json_new_metadata,
model="MODEL_1",
model="MODEL_0",
):
feedback = ""
if "ai_feedback" in transition:
@ -1211,7 +1211,7 @@ def provide_feedback_prompts(
json_metadata,
json_new_metadata,
legacy_tokens_for_ai="",
model="MODEL_1",
model="MODEL_0",
):
"""Generate feedback from multiple prompts"""
feedback_messages = []
@ -1331,7 +1331,7 @@ def provide_feedback_prompts(
return feedback_messages
def translate_text(text, target_language, model="MODEL_1"):
def translate_text(text, target_language, model="MODEL_0"):
# Guard clause for default language
target_language = target_language.lower().split()