diff --git a/llm_core/llm_core/models/model_config.py b/llm_core/llm_core/models/model_config.py
index f433ab58..5bb98839 100644
--- a/llm_core/llm_core/models/model_config.py
+++ b/llm_core/llm_core/models/model_config.py
@@ -4,7 +4,9 @@
 
 
 class ModelConfig(BaseModel, ABC):
-    
+    class Config:
+        protected_namespaces = ()
+
     @abstractmethod
     def get_model(self) -> BaseLanguageModel:
         pass
diff --git a/llm_core/llm_core/utils/llm_utils.py b/llm_core/llm_core/utils/llm_utils.py
index d2f432f8..7df06c43 100644
--- a/llm_core/llm_core/utils/llm_utils.py
+++ b/llm_core/llm_core/utils/llm_utils.py
@@ -1,7 +1,7 @@
 from typing import Type, TypeVar, List
 from pydantic import BaseModel
 import tiktoken
-from langchain.chat_models import ChatOpenAI
+from langchain_openai import ChatOpenAI
 from langchain.base_language import BaseLanguageModel
 from langchain.prompts import (
     ChatPromptTemplate,
@@ -106,5 +106,6 @@ def get_chat_prompt_with_formatting_instructions(
     system_message_prompt = SystemMessagePromptTemplate.from_template(system_message + "\n{format_instructions}")
     system_message_prompt.prompt.partial_variables = {"format_instructions": output_parser.get_format_instructions()}
     system_message_prompt.prompt.input_variables.remove("format_instructions")
-    human_message_prompt = HumanMessagePromptTemplate.from_template(human_message + "\n\nJSON response following the provided schema:")
+    human_message_prompt = HumanMessagePromptTemplate.from_template(
+        human_message + "\n\nJSON response following the provided schema:")
     return ChatPromptTemplate.from_messages([system_message_prompt, human_message_prompt])
\ No newline at end of file
diff --git a/llm_core/llm_core/utils/predict_and_parse.py b/llm_core/llm_core/utils/predict_and_parse.py
index d73748bd..0caecd50 100644
--- a/llm_core/llm_core/utils/predict_and_parse.py
+++ b/llm_core/llm_core/utils/predict_and_parse.py
@@ -1,17 +1,24 @@
 from typing import Optional, Type, TypeVar, List
+
+from langchain_core.exceptions import OutputParserException
 from langchain_core.language_models import BaseLanguageModel
+from langchain_core.output_parsers import PydanticOutputParser
+from langchain_core.output_parsers.openai_functions import JsonOutputFunctionsParser
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel, ValidationError
-from langchain_core.runnables import RunnableSequence
+from langchain_core.tracers import langchain
+from langchain_core.utils.function_calling import convert_to_openai_function
 from athena import get_experiment_environment
+from athena.logger import logger
+from .llm_utils import supports_function_calling
 
 T = TypeVar("T", bound=BaseModel)
 
 async def predict_and_parse(
-        model: BaseLanguageModel, 
-        chat_prompt: ChatPromptTemplate, 
-        prompt_input: dict, 
-        pydantic_object: Type[T], 
+        model: BaseLanguageModel,
+        chat_prompt: ChatPromptTemplate,
+        prompt_input: dict,
+        pydantic_object: Type[T],
         tags: Optional[List[str]]
     ) -> Optional[T]:
     """Predicts an LLM completion using the model and parses the output using the provided Pydantic model
@@ -26,6 +33,8 @@ async def predict_and_parse(
     Returns:
         Optional[T]: Parsed output, or None if it could not be parsed
     """
+    langchain.debug = True
+
     experiment = get_experiment_environment()
 
     tags = tags or []
@@ -36,13 +45,33 @@ async def predict_and_parse(
     if experiment.run_id is not None:
         tags.append(f"run-{experiment.run_id}")
 
-    structured_output_llm = model.with_structured_output(pydantic_object, method="json_mode")
-    chain = RunnableSequence(
-        chat_prompt,
-        structured_output_llm
-    )
+    if supports_function_calling(model):
+        openai_functions = [convert_to_openai_function(pydantic_object)]
+
+        runnable = chat_prompt | model.bind(functions=openai_functions).with_retry(
+            retry_if_exception_type=(ValueError, OutputParserException),
+            wait_exponential_jitter=True,
+            stop_after_attempt=3,
+        ) | JsonOutputFunctionsParser()
+
+        try:
+            output_dict = await runnable.ainvoke(prompt_input)
+            return pydantic_object.parse_obj(output_dict)
+        except (OutputParserException, ValidationError) as e:
+            logger.error("Exception type: %s, Message: %s", type(e).__name__, e)
+            return None
+
+    output_parser = PydanticOutputParser(pydantic_object=pydantic_object)
+
+    runnable = chat_prompt | model.with_retry(
+        retry_if_exception_type=(ValueError, OutputParserException),
+        wait_exponential_jitter=True,
+        stop_after_attempt=3,
+    ) | output_parser
 
     try:
-        return await chain.ainvoke(prompt_input, config={"tags": tags})
-    except ValidationError as e:
-        raise ValueError(f"Could not parse output: {e}") from e
\ No newline at end of file
+        output_dict = await runnable.ainvoke(prompt_input)
+        return pydantic_object.parse_obj(output_dict)
+    except (OutputParserException, ValidationError) as e:
+        logger.error("Exception type: %s, Message: %s", type(e).__name__, e)
+        return None
\ No newline at end of file
diff --git a/modules/programming/module_programming_llm/module_programming_llm/approaches/basic_by_file_approach.py b/modules/programming/module_programming_llm/module_programming_llm/approaches/basic_by_file_approach.py
index 689bd5fc..50f15bef 100644
--- a/modules/programming/module_programming_llm/module_programming_llm/approaches/basic_by_file_approach.py
+++ b/modules/programming/module_programming_llm/module_programming_llm/approaches/basic_by_file_approach.py
@@ -2,8 +2,7 @@
 
 from athena.programming import Submission, Exercise, Feedback
 from module_programming_llm.config import Configuration
-from module_programming_llm.helpers.web_search import bulk_search
-from module_programming_llm.helpers.models import ModelConfigType
+from llm_core.models import ModelConfigType
 from module_programming_llm.prompts import GenerateFileSummary, SplitProblemStatementByFile, \
     SplitGradingInstructionsByFile, GenerateSuggestionsByFile, GenerateSuggestionsByFileOutput
 from module_programming_llm.prompts.filter_out_solution.filter_out_solution import FilterOutSolution
diff --git a/modules/programming/module_programming_llm/module_programming_llm/config.py b/modules/programming/module_programming_llm/module_programming_llm/config.py
index 850feac5..21cb295b 100644
--- a/modules/programming/module_programming_llm/module_programming_llm/config.py
+++ b/modules/programming/module_programming_llm/module_programming_llm/config.py
@@ -2,7 +2,7 @@
 
 from pydantic import BaseModel, Field
 
-from module_programming_llm.helpers.models import ModelConfigType, DefaultModelConfig
+from llm_core.models import ModelConfigType, DefaultModelConfig
 from athena import config_schema_provider
 from module_programming_llm.prompts import SplitProblemStatementByFile, SplitGradingInstructionsByFile, \
     GenerateSuggestionsByFile, GenerateFileSummary
diff --git a/modules/programming/module_programming_llm/module_programming_llm/helpers/web_search.py b/modules/programming/module_programming_llm/module_programming_llm/helpers/web_search.py
index 9f965842..bba5c47a 100644
--- a/modules/programming/module_programming_llm/module_programming_llm/helpers/web_search.py
+++ b/modules/programming/module_programming_llm/module_programming_llm/helpers/web_search.py
@@ -1,19 +1,14 @@
 from typing import Sequence, List
 
 from langchain.chains.qa_with_sources.retrieval import RetrievalQAWithSourcesChain
-from langchain_community.document_loaders import AsyncChromiumLoader
-from langchain_community.document_transformers import BeautifulSoupTransformer
-from duckduckgo_search import DDGS
-import re
 
 from langchain_community.retrievers import WebResearchRetriever
 from langchain_community.utilities import GoogleSearchAPIWrapper
 from langchain_community.vectorstores import Chroma
-from langchain_core.documents import Document
 from langchain_core.tools import Tool
 from langchain_openai import OpenAIEmbeddings
 
-from module_programming_llm.helpers.models import ModelConfigType
+from llm_core.models import ModelConfigType
 
 
 def bulk_search(queries: Sequence[str], model: ModelConfigType) -> List[str]:
@@ -21,41 +16,7 @@ def bulk_search(queries: Sequence[str], model: ModelConfigType) -> List[str]:
     for query in queries:
         result.append(answer_query(query, model))
     return result
-#
-#
-# def search(query: str) -> List[str]:
-#     results = DDGS().text(query, max_results=5)
-#     urls = []
-#     for result in results:
-#         url = result['href']
-#         urls.append(url)
-#
-#     docs = get_page(urls)
-#
-#     content = []
-#     for doc in docs:
-#         page_text = re.sub("\n\n+", "\n", doc.page_content)
-#         text = truncate(page_text)
-#         content.append(text)
-#
-#     return content
-#
-#
-# def get_page(urls: List[str]) -> Sequence[Document]:
-#     loader = AsyncChromiumLoader(urls, headless=True)
-#     html = loader.load()
-#
-#     bs_transformer = BeautifulSoupTransformer()
-#     docs_transformed = bs_transformer.transform_documents(html, tags_to_extract=["p"], remove_unwanted_tags=["a"])
-#
-#     return docs_transformed
-#
-#
-# def truncate(text) -> str:
-#     words = text.split()
-#     truncated = " ".join(words[:1000])
-#
-#     return truncated
+
 
 def answer_query(query, model: ModelConfigType):
     model = model.get_model()  # type: ignore[attr-defined]
diff --git a/modules/programming/module_programming_llm/module_programming_llm/prompts/filter_out_solution/filter_out_solution.py b/modules/programming/module_programming_llm/module_programming_llm/prompts/filter_out_solution/filter_out_solution.py
index caf50b6b..c7e50088 100644
--- a/modules/programming/module_programming_llm/module_programming_llm/prompts/filter_out_solution/filter_out_solution.py
+++ b/modules/programming/module_programming_llm/module_programming_llm/prompts/filter_out_solution/filter_out_solution.py
@@ -12,18 +12,18 @@
     FeedbackModel as SuggestionsFeedbackModel
 from .prompt import system_message as prompt_system_message, human_message as prompt_human_message
 from pydantic import Field
-from module_programming_llm.helpers.llm_utils import (
+from llm_core.utils.llm_utils import (
     get_chat_prompt_with_formatting_instructions,
-    predict_and_parse, num_tokens_from_string,
+    num_tokens_from_string,
     check_prompt_length_and_omit_features_if_necessary,
 )
+from llm_core.utils.predict_and_parse import predict_and_parse
 from module_programming_llm.helpers.utils import (
     get_diff,
     load_files_from_repo,
     add_line_numbers
 )
-from ...helpers.models import ModelConfigType
-
+from llm_core.models import ModelConfigType
 
 class FilterOutSolution(PipelineStep[FilterOutSolutionInput, List[Optional[FilterOutSolutionOutput]]]):
     """A pipeline step to remove potential solutions from the output."""
diff --git a/modules/programming/module_programming_llm/module_programming_llm/prompts/generate_file_summary/generate_file_summary.py b/modules/programming/module_programming_llm/module_programming_llm/prompts/generate_file_summary/generate_file_summary.py
index c92e225f..5c544a54 100644
--- a/modules/programming/module_programming_llm/module_programming_llm/prompts/generate_file_summary/generate_file_summary.py
+++ b/modules/programming/module_programming_llm/module_programming_llm/prompts/generate_file_summary/generate_file_summary.py
@@ -9,16 +9,17 @@
 from .generate_file_summary_output import FileDescription
 from .prompt import system_message as prompt_system_message, human_message as prompt_human_message
 from pydantic import Field
-from module_programming_llm.helpers.llm_utils import (
+from llm_core.utils.llm_utils import (
     get_chat_prompt_with_formatting_instructions,
-    predict_and_parse, num_tokens_from_prompt,
+    num_tokens_from_prompt
 )
+from llm_core.utils.predict_and_parse import predict_and_parse
 from module_programming_llm.helpers.utils import (
     get_diff,
     load_files_from_repo,
     add_line_numbers
 )
-from ...helpers.models import ModelConfigType
+from llm_core.models import ModelConfigType
 
 
 class GenerateFileSummary(PipelineStep[GenerateFileSummaryInput, Optional[GenerateFileSummaryOutput]]):
diff --git a/modules/programming/module_programming_llm/module_programming_llm/prompts/generate_grading_criterion/generate_grading_criterion.py b/modules/programming/module_programming_llm/module_programming_llm/prompts/generate_grading_criterion/generate_grading_criterion.py
index c6f06bd2..062e4336 100644
--- a/modules/programming/module_programming_llm/module_programming_llm/prompts/generate_grading_criterion/generate_grading_criterion.py
+++ b/modules/programming/module_programming_llm/module_programming_llm/prompts/generate_grading_criterion/generate_grading_criterion.py
@@ -9,17 +9,18 @@
 from .generate_grading_criterion_output import GenerateGradingCriterionOutput
 from .prompt import system_message as prompt_system_message, human_message as prompt_human_message
 from pydantic import Field
-from module_programming_llm.helpers.llm_utils import (
+from llm_core.utils.llm_utils import (
     get_chat_prompt_with_formatting_instructions,
-    predict_and_parse, num_tokens_from_string,
+    num_tokens_from_string,
     check_prompt_length_and_omit_features_if_necessary, num_tokens_from_prompt,
 )
+from llm_core.utils.predict_and_parse import predict_and_parse
 from module_programming_llm.helpers.utils import (
     get_diff,
     load_files_from_repo,
     add_line_numbers, get_programming_language_file_extension
 )
-from ...helpers.models import ModelConfigType
+from llm_core.models import ModelConfigType
 
 
 class GenerateGradingCriterion(PipelineStep[GenerateGradingCriterionInput, Optional[GenerateGradingCriterionOutput]]):
diff --git a/modules/programming/module_programming_llm/module_programming_llm/prompts/generate_suggestions_by_file/generate_suggestions_by_file.py b/modules/programming/module_programming_llm/module_programming_llm/prompts/generate_suggestions_by_file/generate_suggestions_by_file.py
index e0001cf2..429dfbda 100644
--- a/modules/programming/module_programming_llm/module_programming_llm/prompts/generate_suggestions_by_file/generate_suggestions_by_file.py
+++ b/modules/programming/module_programming_llm/module_programming_llm/prompts/generate_suggestions_by_file/generate_suggestions_by_file.py
@@ -8,17 +8,18 @@
 from .generate_suggestions_by_file_output import GenerateSuggestionsByFileOutput, FeedbackModel
 from .prompt import system_message as prompt_system_message, human_message as prompt_human_message
 from pydantic import Field
-from module_programming_llm.helpers.llm_utils import (
+from llm_core.utils.llm_utils import (
     get_chat_prompt_with_formatting_instructions,
-    predict_and_parse, num_tokens_from_string,
+    num_tokens_from_string,
     check_prompt_length_and_omit_features_if_necessary,
 )
+from llm_core.utils.predict_and_parse import predict_and_parse
 from module_programming_llm.helpers.utils import (
     get_diff,
     load_files_from_repo,
     add_line_numbers, get_programming_language_file_extension, format_grading_instructions
 )
-from ...helpers.models import ModelConfigType
+from llm_core.models import ModelConfigType
 
 
 class GenerateSuggestionsByFile(PipelineStep[GenerateSuggestionsByFileInput, List[Optional[GenerateSuggestionsByFileOutput]]]):
diff --git a/modules/programming/module_programming_llm/module_programming_llm/prompts/pipeline_step.py b/modules/programming/module_programming_llm/module_programming_llm/prompts/pipeline_step.py
index 6905daa4..0f9dc248 100644
--- a/modules/programming/module_programming_llm/module_programming_llm/prompts/pipeline_step.py
+++ b/modules/programming/module_programming_llm/module_programming_llm/prompts/pipeline_step.py
@@ -2,7 +2,7 @@
 from abc import abstractmethod
 from pydantic import BaseModel, Field
 
-from module_programming_llm.helpers.models import ModelConfigType
+from llm_core.models import ModelConfigType
 
 # Generic types for input and output
 TInput = TypeVar('TInput')
diff --git a/modules/programming/module_programming_llm/module_programming_llm/prompts/rag/rag.py b/modules/programming/module_programming_llm/module_programming_llm/prompts/rag/rag.py
index 25ad5ebe..6225428d 100644
--- a/modules/programming/module_programming_llm/module_programming_llm/prompts/rag/rag.py
+++ b/modules/programming/module_programming_llm/module_programming_llm/prompts/rag/rag.py
@@ -7,16 +7,16 @@
 from .rag_output import RAGOutput
 from .prompt import system_message as prompt_system_message, human_message as prompt_human_message
 from pydantic import Field
-from module_programming_llm.helpers.llm_utils import (
+from llm_core.utils.llm_utils import (
     get_chat_prompt_with_formatting_instructions,
-    predict_and_parse,
     num_tokens_from_prompt,
 )
+from llm_core.utils.predict_and_parse import predict_and_parse
 from module_programming_llm.helpers.utils import (
     get_diff,
     load_files_from_repo,
 )
-from ...helpers.models import ModelConfigType
+from llm_core.models import ModelConfigType
 
 
 class RAG(PipelineStep[RAGInput, Optional[RAGOutput]]):
diff --git a/modules/programming/module_programming_llm/module_programming_llm/prompts/split_grading_instructions_by_file/split_grading_instructions_by_file.py b/modules/programming/module_programming_llm/module_programming_llm/prompts/split_grading_instructions_by_file/split_grading_instructions_by_file.py
index 4432e152..ed270130 100644
--- a/modules/programming/module_programming_llm/module_programming_llm/prompts/split_grading_instructions_by_file/split_grading_instructions_by_file.py
+++ b/modules/programming/module_programming_llm/module_programming_llm/prompts/split_grading_instructions_by_file/split_grading_instructions_by_file.py
@@ -9,16 +9,17 @@
 from .split_grading_instructions_by_file_input import SplitGradingInstructionsByFileInput
 from .prompt import system_message as prompt_system_message, human_message as prompt_human_message
 from pydantic import Field
-from module_programming_llm.helpers.llm_utils import (
+from llm_core.utils.llm_utils import (
     get_chat_prompt_with_formatting_instructions,
     num_tokens_from_string,
-    predict_and_parse, num_tokens_from_prompt,
+    num_tokens_from_prompt,
 )
+from llm_core.utils.predict_and_parse import predict_and_parse
 from module_programming_llm.helpers.utils import (
     get_diff,
 )
 from .split_grading_instructions_by_file_output import FileGradingInstruction, SplitGradingInstructionsByFileOutput
-from ...helpers.models import ModelConfigType
+from llm_core.models import ModelConfigType
 
 
 class SplitGradingInstructionsByFile(
diff --git a/modules/programming/module_programming_llm/module_programming_llm/prompts/split_problem_statement_by_file/split_problem_statement_by_file.py b/modules/programming/module_programming_llm/module_programming_llm/prompts/split_problem_statement_by_file/split_problem_statement_by_file.py
index 63dad160..7b005b87 100644
--- a/modules/programming/module_programming_llm/module_programming_llm/prompts/split_problem_statement_by_file/split_problem_statement_by_file.py
+++ b/modules/programming/module_programming_llm/module_programming_llm/prompts/split_problem_statement_by_file/split_problem_statement_by_file.py
@@ -9,9 +9,10 @@
 from .split_problem_statement_by_file_input import SplitProblemStatementByFileInput
 from .split_problem_statement_by_file_output import FileProblemStatement, SplitProblemStatementByFileOutput
 from ..pipeline_step import PipelineStep
-from ...helpers.llm_utils import num_tokens_from_string, get_chat_prompt_with_formatting_instructions, \
-    num_tokens_from_prompt, predict_and_parse
-from ...helpers.models import ModelConfigType
+from llm_core.utils.llm_utils import num_tokens_from_string, get_chat_prompt_with_formatting_instructions, \
+    num_tokens_from_prompt
+from llm_core.utils.predict_and_parse import predict_and_parse
+from llm_core.models import ModelConfigType
 from ...helpers.utils import get_diff
 
 
diff --git a/modules/programming/module_programming_llm/module_programming_llm/prompts/validate_suggestions/validate_suggestions.py b/modules/programming/module_programming_llm/module_programming_llm/prompts/validate_suggestions/validate_suggestions.py
index 0cd905d5..87f4ed7c 100644
--- a/modules/programming/module_programming_llm/module_programming_llm/prompts/validate_suggestions/validate_suggestions.py
+++ b/modules/programming/module_programming_llm/module_programming_llm/prompts/validate_suggestions/validate_suggestions.py
@@ -11,17 +11,18 @@
 from .validate_suggestions_output import ValidateSuggestionsOutput
 from .prompt import system_message as prompt_system_message, human_message as prompt_human_message
 from pydantic import Field
-from module_programming_llm.helpers.llm_utils import (
+from llm_core.utils.llm_utils import (
     get_chat_prompt_with_formatting_instructions,
-    predict_and_parse, num_tokens_from_string,
+    num_tokens_from_string,
     check_prompt_length_and_omit_features_if_necessary,
 )
+from llm_core.utils.predict_and_parse import predict_and_parse
 from module_programming_llm.helpers.utils import (
     get_diff,
     load_files_from_repo,
     add_line_numbers, get_programming_language_file_extension
 )
-from ...helpers.models import ModelConfigType
+from llm_core.models import ModelConfigType
 
 
 class ValidateSuggestions(PipelineStep[ValidateSuggestionsInput, List[Optional[ValidateSuggestionsOutput]]]):
diff --git a/modules/programming/module_programming_llm/poetry.lock b/modules/programming/module_programming_llm/poetry.lock
index 90c65391..d65a1b00 100644
--- a/modules/programming/module_programming_llm/poetry.lock
+++ b/modules/programming/module_programming_llm/poetry.lock
@@ -136,29 +136,6 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
-[[package]]
-name = "altair"
-version = "5.4.1"
-description = "Vega-Altair: A declarative statistical visualization library for Python."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "altair-5.4.1-py3-none-any.whl", hash = "sha256:0fb130b8297a569d08991fb6fe763582e7569f8a04643bbd9212436e3be04aef"},
-    {file = "altair-5.4.1.tar.gz", hash = "sha256:0ce8c2e66546cb327e5f2d7572ec0e7c6feece816203215613962f0ec1d76a82"},
-]
-
-[package.dependencies]
-jinja2 = "*"
-jsonschema = ">=3.0"
-narwhals = ">=1.5.2"
-packaging = "*"
-typing-extensions = {version = ">=4.10.0", markers = "python_version < \"3.13\""}
-
-[package.extras]
-all = ["altair-tiles (>=0.3.0)", "anywidget (>=0.9.0)", "numpy", "pandas (>=0.25.3)", "pyarrow (>=11)", "vega-datasets (>=0.9.0)", "vegafusion[embed] (>=1.6.6)", "vl-convert-python (>=1.6.0)"]
-dev = ["geopandas", "hatch", "ibis-framework[polars]", "ipython[kernel]", "mistune", "mypy", "pandas (>=0.25.3)", "pandas-stubs", "polars (>=0.20.3)", "pytest", "pytest-cov", "pytest-xdist[psutil] (>=3.5,<4.0)", "ruff (>=0.6.0)", "types-jsonschema", "types-setuptools"]
-doc = ["docutils", "jinja2", "myst-parser", "numpydoc", "pillow (>=9,<10)", "pydata-sphinx-theme (>=0.14.1)", "scipy", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinxext-altair"]
-
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
@@ -190,20 +167,6 @@ doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)",
 test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
 trio = ["trio (>=0.26.1)"]
 
-[[package]]
-name = "asgiref"
-version = "3.8.1"
-description = "ASGI specs, helper code, and adapters"
-optional = false
-python-versions = ">=3.8"
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-[package.extras]
-tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
-
 [[package]]
 name = "astroid"
 version = "3.3.5"
@@ -227,7 +190,7 @@ develop = true
 [package.dependencies]
 fastapi = "^0.109.1"
 gitpython = "^3.1.41"
-httpx = "^0.27.1"
+httpx = "^0.24.1"
 psycopg2 = "^2.9.9"
 sqlalchemy = {version = "^2.0.21", extras = ["mypy"]}
 uvicorn = "^0.23.0"
@@ -255,57 +218,6 @@ docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphi
 tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
-[[package]]
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-version = "2.2.1"
-description = "Function decoration for backoff and retry"
-optional = false
-python-versions = ">=3.7,<4.0"
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-
-[[package]]
-name = "bcrypt"
-version = "4.2.0"
-description = "Modern password hashing for your software and your servers"
-optional = false
-python-versions = ">=3.7"
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-typecheck = ["mypy"]
-
 [[package]]
 name = "beautifulsoup4"
 version = "4.12.3"
@@ -327,17 +239,6 @@ charset-normalizer = ["charset-normalizer"]
 html5lib = ["html5lib"]
 lxml = ["lxml"]
 
-[[package]]
-name = "blinker"
-version = "1.8.2"
-description = "Fast, simple object-to-object and broadcast signaling"
-optional = false
-python-versions = ">=3.8"
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-
 [[package]]
 name = "bs4"
 version = "0.0.2"
@@ -352,29 +253,6 @@ files = [
 [package.dependencies]
 beautifulsoup4 = "*"
 
-[[package]]
-name = "build"
-version = "1.2.2.post1"
-description = "A simple, correct Python build frontend"
-optional = false
-python-versions = ">=3.8"
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-
-[package.extras]
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-test = ["build[uv,virtualenv]", "filelock (>=3)", "pytest (>=6.2.4)", "pytest-cov (>=2.12)", "pytest-mock (>=2)", "pytest-rerunfailures (>=9.1)", "pytest-xdist (>=1.34)", "setuptools (>=42.0.0)", "setuptools (>=56.0.0)", "setuptools (>=56.0.0)", "setuptools (>=67.8.0)", "wheel (>=0.36.0)"]
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-uv = ["uv (>=0.1.18)"]
-virtualenv = ["virtualenv (>=20.0.35)"]
-
 [[package]]
 name = "cachetools"
 version = "5.5.0"
@@ -511,88 +389,6 @@ files = [
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-python-versions = "*"
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-
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-
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-uvicorn = {version = ">=0.18.3", extras = ["standard"]}
-
 [[package]]
 name = "click"
 version = "8.1.7"
@@ -618,23 +414,6 @@ files = [
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 ]
 
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-description = "Colored terminal output for Python's logging module"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
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-
-[package.extras]
-cron = ["capturer (>=2.4)"]
-
 [[package]]
 name = "dataclasses-json"
 version = "0.6.7"
@@ -650,23 +429,6 @@ files = [
 marshmallow = ">=3.18.0,<4.0.0"
 typing-inspect = ">=0.4.0,<1"
 
-[[package]]
-name = "deprecated"
-version = "1.2.14"
-description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
-optional = false
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-[package.extras]
-abfs = ["adlfs"]
-adl = ["adlfs"]
-arrow = ["pyarrow (>=1)"]
-dask = ["dask", "distributed"]
-dev = ["pre-commit", "ruff"]
-doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
-dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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-
 [[package]]
 name = "gitdb"
 version = "4.0.11"
@@ -980,21 +632,20 @@ smmap = ">=3.0.1,<6"
 
 [[package]]
 name = "gitpython"
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 [package.dependencies]
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 [[package]]
 name = "google-api-core"
@@ -1180,73 +831,6 @@ files = [
 docs = ["Sphinx", "furo"]
 test = ["objgraph", "psutil"]
 
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-
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-
 [[package]]
 name = "httpx"
-version = "0.27.2"
+version = "0.24.1"
 description = "The next generation HTTP client."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
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 [package.dependencies]
-anyio = "*"
 certifi = "*"
-httpcore = "==1.*"
+httpcore = ">=0.15.0,<0.18.0"
 idna = "*"
 sniffio = "*"
 
@@ -1382,55 +899,6 @@ brotli = ["brotli", "brotlicffi"]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
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-
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-
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-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
-torch = ["safetensors[torch]", "torch"]
-typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
-
-[[package]]
-name = "humanfriendly"
-version = "10.0"
-description = "Human friendly output for text interfaces using Python"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-files = [
-    {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
-    {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
-]
-
-[package.dependencies]
-pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
 
 [[package]]
 name = "idna"
@@ -1446,44 +914,6 @@ files = [
 [package.extras]
 all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
 
-[[package]]
-name = "importlib-metadata"
-version = "6.11.0"
-description = "Read metadata from Python packages"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "importlib_metadata-6.11.0-py3-none-any.whl", hash = "sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b"},
-    {file = "importlib_metadata-6.11.0.tar.gz", hash = "sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443"},
-]
-
-[package.dependencies]
-zipp = ">=0.5"
-
-[package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
-
-[[package]]
-name = "importlib-resources"
-version = "6.4.5"
-description = "Read resources from Python packages"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"},
-    {file = "importlib_resources-6.4.5.tar.gz", hash = "sha256:980862a1d16c9e147a59603677fa2aa5fd82b87f223b6cb870695bcfce830065"},
-]
-
-[package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
-cover = ["pytest-cov"]
-doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-enabler = ["pytest-enabler (>=2.2)"]
-test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
-type = ["pytest-mypy"]
-
 [[package]]
 name = "isort"
 version = "5.13.2"
@@ -1498,23 +928,6 @@ files = [
 [package.extras]
 colors = ["colorama (>=0.4.6)"]
 
-[[package]]
-name = "jinja2"
-version = "3.1.4"
-description = "A very fast and expressive template engine."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
-    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
-]
-
-[package.dependencies]
-MarkupSafe = ">=2.0"
-
-[package.extras]
-i18n = ["Babel (>=2.7)"]
-
 [[package]]
 name = "jiter"
 version = "0.6.1"
@@ -1633,86 +1046,24 @@ files = [
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
 ]
 
-[[package]]
-name = "jsonschema"
-version = "4.23.0"
-description = "An implementation of JSON Schema validation for Python"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
-    {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
-]
-
-[package.dependencies]
-attrs = ">=22.2.0"
-jsonschema-specifications = ">=2023.03.6"
-referencing = ">=0.28.4"
-rpds-py = ">=0.7.1"
-
-[package.extras]
-format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
-format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=24.6.0)"]
-
-[[package]]
-name = "jsonschema-specifications"
-version = "2024.10.1"
-description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
-optional = false
-python-versions = ">=3.9"
-files = [
-    {file = "jsonschema_specifications-2024.10.1-py3-none-any.whl", hash = "sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf"},
-    {file = "jsonschema_specifications-2024.10.1.tar.gz", hash = "sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272"},
-]
-
-[package.dependencies]
-referencing = ">=0.31.0"
-
-[[package]]
-name = "kubernetes"
-version = "31.0.0"
-description = "Kubernetes python client"
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "kubernetes-31.0.0-py2.py3-none-any.whl", hash = "sha256:bf141e2d380c8520eada8b351f4e319ffee9636328c137aa432bc486ca1200e1"},
-    {file = "kubernetes-31.0.0.tar.gz", hash = "sha256:28945de906c8c259c1ebe62703b56a03b714049372196f854105afe4e6d014c0"},
-]
-
-[package.dependencies]
-certifi = ">=14.05.14"
-durationpy = ">=0.7"
-google-auth = ">=1.0.1"
-oauthlib = ">=3.2.2"
-python-dateutil = ">=2.5.3"
-pyyaml = ">=5.4.1"
-requests = "*"
-requests-oauthlib = "*"
-six = ">=1.9.0"
-urllib3 = ">=1.24.2"
-websocket-client = ">=0.32.0,<0.40.0 || >0.40.0,<0.41.dev0 || >=0.43.dev0"
-
-[package.extras]
-adal = ["adal (>=1.0.2)"]
-
 [[package]]
 name = "langchain"
-version = "0.3.2"
+version = "0.2.15"
 description = "Building applications with LLMs through composability"
 optional = false
-python-versions = "<4.0,>=3.9"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain-0.3.2-py3-none-any.whl", hash = "sha256:cf005dcba132e46fb5e8d3dfaf7f8751bffd2d73e738c36be58f41edc7e3a4b8"},
-    {file = "langchain-0.3.2.tar.gz", hash = "sha256:dc330e6eb10d81d23ba0305d18358702c73cc59e95c410eca6c6779aab4ddc9b"},
+    {file = "langchain-0.2.15-py3-none-any.whl", hash = "sha256:9e6231441870aaa8523be24a5785ccccfdde759a7e27dd082b6ec80f68e49dec"},
+    {file = "langchain-0.2.15.tar.gz", hash = "sha256:f613ce7594be34f9bac687134a56f6e8274951907b798dbd037aefc95df78953"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
-langchain-core = ">=0.3.8,<0.4.0"
-langchain-text-splitters = ">=0.3.0,<0.4.0"
+langchain-core = ">=0.2.35,<0.3.0"
+langchain-text-splitters = ">=0.2.0,<0.3.0"
 langsmith = ">=0.1.17,<0.2.0"
 numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""}
-pydantic = ">=2.7.4,<3.0.0"
+pydantic = ">=1,<3"
 PyYAML = ">=5.3"
 requests = ">=2,<3"
 SQLAlchemy = ">=1.4,<3"
@@ -1720,23 +1071,22 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-community"
-version = "0.3.1"
+version = "0.2.10"
 description = "Community contributed LangChain integrations."
 optional = false
-python-versions = "<4.0,>=3.9"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_community-0.3.1-py3-none-any.whl", hash = "sha256:627eb26c16417764762ac47dd0d3005109f750f40242a88bb8f2958b798bcf90"},
-    {file = "langchain_community-0.3.1.tar.gz", hash = "sha256:c964a70628f266a61647e58f2f0434db633d4287a729f100a81dd8b0654aec93"},
+    {file = "langchain_community-0.2.10-py3-none-any.whl", hash = "sha256:9f4d1b5ab7f0b0a704f538e26e50fce45a461da6d2bf6b7b636d24f22fbc088a"},
+    {file = "langchain_community-0.2.10.tar.gz", hash = "sha256:3a0404bad4bd07d6f86affdb62fb3d080a456c66191754d586a409d9d6024d62"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-langchain = ">=0.3.1,<0.4.0"
-langchain-core = ">=0.3.6,<0.4.0"
-langsmith = ">=0.1.125,<0.2.0"
+langchain = ">=0.2.9,<0.3.0"
+langchain-core = ">=0.2.23,<0.3.0"
+langsmith = ">=0.1.0,<0.2.0"
 numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""}
-pydantic-settings = ">=2.4.0,<3.0.0"
 PyYAML = ">=5.3"
 requests = ">=2,<3"
 SQLAlchemy = ">=1.4,<3"
@@ -1744,63 +1094,63 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "0.3.10"
+version = "0.2.41"
 description = "Building applications with LLMs through composability"
 optional = false
-python-versions = "<4.0,>=3.9"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.3.10-py3-none-any.whl", hash = "sha256:146be6bf2d3dc0d6f4feb46ef082182cf57b056e8163d45278529cd7b7343d2f"},
-    {file = "langchain_core-0.3.10.tar.gz", hash = "sha256:63b9a3d03b52dba29cc248b752c574cdcb5fb04bd0fc5c76097fcbb7aaba5221"},
+    {file = "langchain_core-0.2.41-py3-none-any.whl", hash = "sha256:3278fda5ba9a05defae8bb19f1226032add6aab21917db7b3bc74e750e263e84"},
+    {file = "langchain_core-0.2.41.tar.gz", hash = "sha256:bc12032c5a298d85be754ccb129bc13ea21ccb1d6e22f8d7ba18b8da64315bb5"},
 ]
 
 [package.dependencies]
 jsonpatch = ">=1.33,<2.0"
-langsmith = ">=0.1.125,<0.2.0"
+langsmith = ">=0.1.112,<0.2.0"
 packaging = ">=23.2,<25"
-pydantic = {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""}
+pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}
 PyYAML = ">=5.3"
 tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-openai"
-version = "0.2.1"
+version = "0.1.23"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
-python-versions = "<4.0,>=3.9"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_openai-0.2.1-py3-none-any.whl", hash = "sha256:215efa4526c88f8105f002b43b7cbf98cebd9baeb4f62c3b58faebdb578715bc"},
-    {file = "langchain_openai-0.2.1.tar.gz", hash = "sha256:a131ea18736f1a8792925391b91a8c8bd834431ffc2055c92ba49f59c3dcaaf0"},
+    {file = "langchain_openai-0.1.23-py3-none-any.whl", hash = "sha256:8e3d215803e157f26480c6108eb4333629832b1a0e746723060c24f93b8b78f4"},
+    {file = "langchain_openai-0.1.23.tar.gz", hash = "sha256:ed7f16671ea0af177ac5f82d5645a746c5097c56f97b31798e5c07b5c84f0eed"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3,<0.4"
+langchain-core = ">=0.2.35,<0.3.0"
 openai = ">=1.40.0,<2.0.0"
 tiktoken = ">=0.7,<1"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.3.0"
+version = "0.2.4"
 description = "LangChain text splitting utilities"
 optional = false
-python-versions = "<4.0,>=3.9"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_text_splitters-0.3.0-py3-none-any.whl", hash = "sha256:e84243e45eaff16e5b776cd9c81b6d07c55c010ebcb1965deb3d1792b7358e83"},
-    {file = "langchain_text_splitters-0.3.0.tar.gz", hash = "sha256:f9fe0b4d244db1d6de211e7343d4abc4aa90295aa22e1f0c89e51f33c55cd7ce"},
+    {file = "langchain_text_splitters-0.2.4-py3-none-any.whl", hash = "sha256:2702dee5b7cbdd595ccbe43b8d38d01a34aa8583f4d6a5a68ad2305ae3e7b645"},
+    {file = "langchain_text_splitters-0.2.4.tar.gz", hash = "sha256:f7daa7a3b0aa8309ce248e2e2b6fc8115be01118d336c7f7f7dfacda0e89bf29"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.0,<0.4.0"
+langchain-core = ">=0.2.38,<0.3.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.135"
+version = "0.1.137"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.135-py3-none-any.whl", hash = "sha256:b1d1ca3bad483a4239745c57e9b9157b4d099fbf3149be21e3d112c94ede06ac"},
-    {file = "langsmith-0.1.135.tar.gz", hash = "sha256:7abed7e141386af99a2177f0b3600b124ae3ad1b482879ba0724ce92ef998a11"},
+    {file = "langsmith-0.1.137-py3-none-any.whl", hash = "sha256:4256d5c61133749890f7b5c88321dbb133ce0f440c621ea28e76513285859b81"},
+    {file = "langsmith-0.1.137.tar.gz", hash = "sha256:56cdfcc6c74cb20a3f437d5bd144feb5bf93f54c5a2918d1e568cbd084a372d4"},
 ]
 
 [package.dependencies]
@@ -1811,117 +1161,48 @@ requests = ">=2,<3"
 requests-toolbelt = ">=1.0.0,<2.0.0"
 
 [[package]]
-name = "markdown-it-py"
-version = "3.0.0"
-description = "Python port of markdown-it. Markdown parsing, done right!"
+name = "llm-core"
+version = "0.1.0"
+description = "SHared LLM module."
 optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
-    {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
-]
+python-versions = "3.11.*"
+files = []
+develop = true
 
 [package.dependencies]
-mdurl = ">=0.1,<1.0"
+athena = {path = "../athena", develop = true}
+gitpython = "3.1.41"
+langchain = "0.2.15"
+langchain-community = "0.2.10"
+langchain-openai = "0.1.23"
+langsmith = ">=0.1.0,<0.2.0"
+nltk = "3.8.1"
+openai = "1.51.1"
+python-dotenv = "1.0.0"
+tiktoken = "0.7.0"
 
-[package.extras]
-benchmarking = ["psutil", "pytest", "pytest-benchmark"]
-code-style = ["pre-commit (>=3.0,<4.0)"]
-compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
-linkify = ["linkify-it-py (>=1,<3)"]
-plugins = ["mdit-py-plugins"]
-profiling = ["gprof2dot"]
-rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
-testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
-
-[[package]]
-name = "markupsafe"
-version = "3.0.1"
-description = "Safely add untrusted strings to HTML/XML markup."
-optional = false
-python-versions = ">=3.9"
-files = [
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+type = "directory"
+url = "../../../llm_core"
 
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+version = "3.23.0"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
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 [package.dependencies]
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 [package.extras]
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-docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.13)", "sphinx (==8.0.2)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
-tests = ["pytest", "pytz", "simplejson"]
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+docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.13)", "sphinx (==8.1.3)", "sphinx-issues (==5.0.0)", "sphinx-version-warning (==1.1.2)"]
+tests = ["pytest", "simplejson"]
 
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 name = "mccabe"
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-
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@@ -3283,45 +1924,6 @@ files = [
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 diagrams = ["jinja2", "railroad-diagrams"]
 
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 version = "2024.9.11"
@@ -3811,24 +2269,6 @@ urllib3 = ">=1.21.1,<3"
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@@ -3860,136 +2300,6 @@ packaging = ">=21.3"
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 toml = ">=0.10.2,<0.11.0"
 
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 ]
 
 [package.dependencies]
@@ -4184,7 +2471,7 @@ aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
 aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
 asyncio = ["greenlet (!=0.4.17)"]
 asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
-mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"]
+mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5,!=1.1.10)"]
 mssql = ["pyodbc"]
 mssql-pymssql = ["pymssql"]
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+    {file = "yarl-1.17.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:146ca582ed04a5664ad04b0e0603934281eaab5c0115a5a46cce0b3c061a56a1"},
+    {file = "yarl-1.17.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:6abb8c06107dbec97481b2392dafc41aac091a5d162edf6ed7d624fe7da0587a"},
+    {file = "yarl-1.17.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:4d14be4613dd4f96c25feb4bd8c0d8ce0f529ab0ae555a17df5789e69d8ec0c5"},
+    {file = "yarl-1.17.0-cp39-cp39-win32.whl", hash = "sha256:174d6a6cad1068f7850702aad0c7b1bca03bcac199ca6026f84531335dfc2646"},
+    {file = "yarl-1.17.0-cp39-cp39-win_amd64.whl", hash = "sha256:6af417ca2c7349b101d3fd557ad96b4cd439fdb6ab0d288e3f64a068eea394d0"},
+    {file = "yarl-1.17.0-py3-none-any.whl", hash = "sha256:62dd42bb0e49423f4dd58836a04fcf09c80237836796025211bbe913f1524993"},
+    {file = "yarl-1.17.0.tar.gz", hash = "sha256:d3f13583f378930377e02002b4085a3d025b00402d5a80911726d43a67911cd9"},
 ]
 
 [package.dependencies]
@@ -5151,26 +2783,7 @@ idna = ">=2.0"
 multidict = ">=4.0"
 propcache = ">=0.2.0"
 
-[[package]]
-name = "zipp"
-version = "3.20.2"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
-    {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
-]
-
-[package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
-cover = ["pytest-cov"]
-doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
-type = ["pytest-mypy"]
-
 [metadata]
 lock-version = "2.0"
 python-versions = "3.11.*"
-content-hash = "0450d91024422faab2b84bc4d77a4b956650f13c7a66f3bf5b82459b2c3ae58e"
+content-hash = "edf46f687b0e4c950a96bce90ab995a9d2c9254beea314e8ac4c74da938bdfc2"
diff --git a/modules/programming/module_programming_llm/pyproject.toml b/modules/programming/module_programming_llm/pyproject.toml
index b07a7ef7..c6f872c5 100644
--- a/modules/programming/module_programming_llm/pyproject.toml
+++ b/modules/programming/module_programming_llm/pyproject.toml
@@ -8,34 +8,22 @@ license = "MIT"
 [tool.poetry.dependencies]
 python = "3.11.*"
 # if you have local changes in the common Athena module, use the line below. Otherwise, please use a VCS stable version. Also, a version with tag = "" is possible.
-# athena = { path = "../athena", develop = true }
 athena = { path = "../../../athena", develop = true }
 #athena = { git = "https://github.com/ls1intum/Athena.git", rev = "2da2d33", subdirectory = "athena"}
 llm_core = { path = "../../../llm_core", develop = true }
-openai = "1.40.0"
-langchain = "0.3.2"
-langchain-community="0.3.1"
-langchain-openai = "0.2.1"
 gitpython = "^3.1.41"
-tiktoken = "0.7.0"
 promptlayer = "^0.1.85"
 python-dotenv = "^1.0.0"
 nltk = "^3.8.1"
 replicate = "^0.11.0"
-chromadb = "0.5.13"
-streamlit= "1.25.0"
-html2text = "2020.1.16"
 google-api-core = "2.11.1"
 google-api-python-client = "2.95.0"
 google-auth = "2.22.0"
 google-auth-httplib2 = "0.1.0"
 googleapis-common-protos = "1.59.1"
-faiss-cpu = {version = "^1.7.0", platform = "posix"}
-faiss-gpu = {version = "^1.7.1", platform = "posix"}
 bs4 = "0.0.2"
 
 [tool.poetry.group.dev.dependencies]
-types-requests = "^2.31.0.8"
 pydantic = "2.7.4"
 prospector = "^1.10.2"