integrate programming and leave model init to llm core

docker-compose.yml

@@ -37,6 +37,7 @@ services:
     build: modules/programming/module_programming_llm
     depends_on:
       - athena
+      - llm_core
     ports:
       - "5002:5002"
 

modules/programming/module_programming_llm/Dockerfile

@@ -17,6 +17,7 @@ RUN pip install --no-cache-dir poetry==1.5.0
 COPY pyproject.toml poetry.lock ./
 # athena module (from the Dockerfile in the athena folder)
 COPY --from=athena /code /athena
+COPY --from=llm_core /code /llm_core
 # install dependencies
 RUN poetry config virtualenvs.create true \
     && poetry config virtualenvs.in-project true \

modules/programming/module_programming_llm/module_programming_llm/generate_graded_suggestions_by_file.py

@@ -13,7 +13,7 @@
 from module_programming_llm.split_problem_statement_by_file import (
     split_problem_statement_by_file,
 )
-from module_programming_llm.helpers.llm_utils import (
+from llm_core.utils.llm_utils import (
     check_prompt_length_and_omit_features_if_necessary,
     get_chat_prompt_with_formatting_instructions,
     num_tokens_from_string,

modules/programming/module_programming_llm/module_programming_llm/generate_non_graded_suggestions_by_file.py

@@ -11,7 +11,7 @@
 from module_programming_llm.split_problem_statement_by_file import (
     split_problem_statement_by_file,
 )
-from module_programming_llm.helpers.llm_utils import (
+from llm_core.utils.llm_utils import (
     check_prompt_length_and_omit_features_if_necessary,
     get_chat_prompt_with_formatting_instructions,
     num_tokens_from_string,

modules/programming/module_programming_llm/module_programming_llm/generate_summary_by_file.py

@@ -9,7 +9,7 @@
 from athena.programming import Exercise, Submission
 
 from module_programming_llm.config import GradedBasicApproachConfig, BasicApproachConfig
-from module_programming_llm.helpers.llm_utils import (
+from llm_core.utils.llm_utils import (
     get_chat_prompt_with_formatting_instructions,
     num_tokens_from_prompt,
     predict_and_parse,