From 8e49067423a09b6035860c9c0c542a1edfcf62f7 Mon Sep 17 00:00:00 2001
From: Marc Fabian Mezger <marc.mezger@googlemail.com>
Date: Sat, 29 Jun 2024 10:14:11 +0200
Subject: [PATCH] removing the generation from the basic services.

---
 .gitignore                       |    1 +
 agent/api.py                     |    2 +
 agent/backend/LLMBase.py         |   10 +-
 agent/backend/LLMStrategy.py     |   10 +-
 agent/backend/cohere_service.py  |   17 +-
 agent/backend/gpt4all_service.py |   16 -
 agent/backend/graph.py           |  195 +++++
 agent/backend/ollama_service.py  |   19 +-
 agent/backend/open_ai_service.py |   43 +-
 agent/backend/prompts.py         |   66 ++
 agent/utils/utility.py           |    8 +
 docker-compose.yml               |   12 +
 poetry.lock                      | 1194 +++++++++++++++++++++++++++---
 pyproject.toml                   |   10 +-
 requirements.txt                 |  606 +++++++++++++--
 15 files changed, 1936 insertions(+), 273 deletions(-)
 create mode 100644 agent/backend/graph.py
 create mode 100644 agent/backend/prompts.py

diff --git a/.gitignore b/.gitignore
index e22d200..f526957 100644
--- a/.gitignore
+++ b/.gitignore
@@ -137,3 +137,4 @@ htmlcov/
 vector_db/
 test.py
 reports.xlsx
+phoenix_data/
diff --git a/agent/api.py b/agent/api.py
index 67c3287..50afd2c 100644
--- a/agent/api.py
+++ b/agent/api.py
@@ -6,6 +6,7 @@
 from fastapi import FastAPI, File, UploadFile
 from fastapi.openapi.utils import get_openapi
 from loguru import logger
+from phoenix.trace.langchain import LangChainInstrumentor
 from qdrant_client import models
 from qdrant_client.http.models.models import UpdateResult
 from starlette.responses import JSONResponse
@@ -32,6 +33,7 @@
 )
 from agent.utils.vdb import initialize_all_vector_dbs, load_vec_db_conn
 
+LangChainInstrumentor().instrument()
 nltk.download("punkt")
 # add file logger for loguru
 # logger.add("logs/file_{time}.log", backtrace=False, diagnose=False)
diff --git a/agent/backend/LLMBase.py b/agent/backend/LLMBase.py
index 1483534..e36ef39 100644
--- a/agent/backend/LLMBase.py
+++ b/agent/backend/LLMBase.py
@@ -1,7 +1,7 @@
 """Strategy Pattern."""
 from abc import ABC, abstractmethod
 
-from agent.data_model.request_data_model import LLMBackend, RAGRequest, SearchParams
+from agent.data_model.request_data_model import LLMBackend, SearchParams
 
 
 class LLMBase(ABC):
@@ -25,14 +25,6 @@ def create_collection(self, name: str) -> bool:
     def create_search_chain(self, search: SearchParams) -> list:
         """Searches the documents in the Qdrant DB with semantic search."""
 
-    # @abstractmethod
-    # def generate(self, prompt: str) -> str:
-    #     """Generate text from a prompt."""
-
-    @abstractmethod
-    def create_rag_chain(self, rag: RAGRequest, search: SearchParams) -> tuple:
-        """Retrieval Augmented Generation."""
-
     @abstractmethod
     def summarize_text(self, text: str) -> str:
         """Summarize text."""
diff --git a/agent/backend/LLMStrategy.py b/agent/backend/LLMStrategy.py
index 6a68dbf..fc3d454 100644
--- a/agent/backend/LLMStrategy.py
+++ b/agent/backend/LLMStrategy.py
@@ -7,7 +7,7 @@
 from agent.backend.LLMBase import LLMBase
 from agent.backend.ollama_service import OllamaService
 from agent.backend.open_ai_service import OpenAIService
-from agent.data_model.request_data_model import LLMProvider, RAGRequest, SearchParams
+from agent.data_model.request_data_model import LLMProvider, SearchParams
 
 
 class LLMStrategyFactory:
@@ -82,14 +82,6 @@ def create_collection(self, name: str) -> None:
         """Wrapper for creating a collection."""
         return self.llm.create_collection(name)
 
-    def generate(self, prompt: str) -> str:
-        """Wrapper for the generation of text."""
-        return self.llm.generate(prompt)
-
-    def create_rag_chain(self, rag: RAGRequest, search: SearchParams) -> tuple:
-        """Wrapper for the RAG."""
-        return self.llm.create_rag_chain(rag=rag, search=search)
-
     def summarize_text(self, text: str) -> str:
         """Wrapper for the summarization of text."""
         return self.llm.summarize_text(text)
diff --git a/agent/backend/cohere_service.py b/agent/backend/cohere_service.py
index cbb31a6..9bd2c8d 100644
--- a/agent/backend/cohere_service.py
+++ b/agent/backend/cohere_service.py
@@ -1,13 +1,12 @@
 """Cohere Backend."""
 
 from dotenv import load_dotenv
-from langchain_cohere import ChatCohere, CohereEmbeddings
+from langchain_cohere import CohereEmbeddings
 from langchain_community.document_loaders import DirectoryLoader, PyPDFium2Loader, TextLoader
 from langchain_core.documents import Document
-from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.retrievers import BaseRetriever
-from langchain_core.runnables import RunnableParallel, RunnablePassthrough, chain
+from langchain_core.runnables import chain
 from langchain_text_splitters import NLTKTextSplitter
 from loguru import logger
 from omegaconf import DictConfig
@@ -18,7 +17,7 @@
     RAGRequest,
     SearchParams,
 )
-from agent.utils.utility import extract_text_from_langchain_documents, load_prompt_template
+from agent.utils.utility import load_prompt_template
 from agent.utils.vdb import generate_collection, init_vdb
 
 load_dotenv()
@@ -111,16 +110,6 @@ def retriever_with_score(query: str) -> list[Document]:
 
         return retriever_with_score
 
-    def create_rag_chain(self, rag: RAGRequest, search: SearchParams) -> tuple:
-        """Retrieval Augmented Generation."""
-        search_chain = self.create_search_chain(search=search)
-
-        chat = ChatCohere(model_name=self.cfg.cohere_completions.model_name, maximum_tokens=self.cfg.cohere_completions.maximum_tokens)
-
-        rag_chain_from_docs = RunnablePassthrough.assign(context=(lambda x: extract_text_from_langchain_documents(x["context"]))) | self.prompt | chat | StrOutputParser()
-
-        return RunnableParallel({"context": search_chain, "question": RunnablePassthrough()}).assign(answer=rag_chain_from_docs)
-
     def summarize_text(self, text: str) -> str:
         """Summarize text."""
 
diff --git a/agent/backend/gpt4all_service.py b/agent/backend/gpt4all_service.py
index 0d69441..d5de559 100644
--- a/agent/backend/gpt4all_service.py
+++ b/agent/backend/gpt4all_service.py
@@ -104,22 +104,6 @@ def summarize_text(self, text: str) -> str:
 
         return model.generate(prompt, max_tokens=300)
 
-    def generate(self, prompt: str) -> str:
-        """Complete text with GPT4ALL.
-
-        Args:
-        ----
-            prompt (str): The prompt to be completed.
-
-        Returns:
-        -------
-            str: The completed text.
-
-        """
-        model = GPT4All(self.cfg.gpt4all_completion.completion_model)
-
-        return model.generate(prompt, max_tokens=250)
-
     def create_search_chain(self, search: SearchParams) -> BaseRetriever:
         """Searches the documents in the Qdrant DB with semantic search."""
 
diff --git a/agent/backend/graph.py b/agent/backend/graph.py
new file mode 100644
index 0000000..86543c2
--- /dev/null
+++ b/agent/backend/graph.py
@@ -0,0 +1,195 @@
+import os
+from collections.abc import Sequence
+from typing import Annotated, Literal, TypedDict
+
+from langchain_cohere import ChatCohere, CohereEmbeddings
+from langchain_core.documents import Document
+from langchain_core.language_models import LanguageModelLike
+from langchain_core.messages import (
+    AIMessage,
+    BaseMessage,
+    HumanMessage,
+    convert_to_messages,
+)
+from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import (
+    ChatPromptTemplate,
+    PromptTemplate,
+)
+from langchain_core.retrievers import BaseRetriever
+from langchain_core.runnables import ConfigurableField, RunnableConfig
+from langchain_openai import ChatOpenAI
+from langchain_qdrant import Qdrant
+from langgraph.graph import END, StateGraph, add_messages
+from qdrant_client import QdrantClient
+
+from agent.backend.prompts import COHERE_RESPONSE_TEMPLATE, REPHRASE_TEMPLATE
+from agent.utils.utility import format_docs_for_citations
+
+OPENAI_MODEL_KEY = "openai_gpt_3_5_turbo"
+COHERE_MODEL_KEY = "cohere_command"
+OLLAMA_MODEL_KEY = "phi3_ollama"
+
+
+class AgentState(TypedDict):
+    query: str
+    documents: list[Document]
+    messages: Annotated[list[BaseMessage], add_messages]
+
+
+# define models
+gpt4o = ChatOpenAI(model="gpt-4o", temperature=0, streaming=True)
+
+cohere_command = ChatCohere(
+    model="command",
+    temperature=0,
+    cohere_api_key=os.environ.get("COHERE_API_KEY", "not_provided"),
+    streaming=True,
+)
+
+ollama_chat = ChatOllama()
+
+
+# define model alternatives
+llm = gpt4o.configurable_alternatives(
+    ConfigurableField(id="model_name"),
+    default_key=OPENAI_MODEL_KEY,
+    **{
+        COHERE_MODEL_KEY: cohere_command,
+    },
+).with_fallbacks([cohere_command, ollama_chat])
+
+
+def get_retriever() -> BaseRetriever:
+    embedding = CohereEmbeddings(model="embed-multilingual-v3.0")
+
+    qdrant_client = QdrantClient("http://localhost", port=6333, api_key=os.getenv("QDRANT_API_KEY"), prefer_grpc=False)
+
+    vector_db = Qdrant(client=qdrant_client, collection_name="cohere", embeddings=embedding)
+    return vector_db.as_retriever(search_kwargs={"k": 4})
+
+
+def retrieve_documents(state: AgentState) -> AgentState:
+    retriever = get_retriever()
+    messages = convert_to_messages(state["messages"])
+    query = messages[-1].content
+    relevant_documents = retriever.invoke(query)
+    return {"query": query, "documents": relevant_documents}
+
+
+def retrieve_documents_with_chat_history(state: AgentState) -> AgentState:
+    retriever = get_retriever()
+    model = llm.with_config(tags=["nostream"])
+
+    CONDENSE_QUESTION_PROMPT = PromptTemplate.from_template(REPHRASE_TEMPLATE)
+    condense_question_chain = (CONDENSE_QUESTION_PROMPT | model | StrOutputParser()).with_config(
+        run_name="CondenseQuestion",
+    )
+
+    messages = convert_to_messages(state["messages"])
+    query = messages[-1].content
+    retriever_with_condensed_question = condense_question_chain | retriever
+    relevant_documents = retriever_with_condensed_question.invoke({"question": query, "chat_history": get_chat_history(messages[:-1])})
+    return {"query": query, "documents": relevant_documents}
+
+
+def route_to_retriever(
+    state: AgentState,
+) -> Literal["retriever", "retriever_with_chat_history"]:
+    # at this point in the graph execution there is exactly one (i.e. first) message from the user,
+    # so use basic retriever without chat history
+    if len(state["messages"]) == 1:
+        return "retriever"
+    else:
+        return "retriever_with_chat_history"
+
+
+def get_chat_history(messages: Sequence[BaseMessage]) -> Sequence[BaseMessage]:
+    chat_history = []
+    for message in messages:
+        if (isinstance(message, AIMessage) and not message.tool_calls) or isinstance(message, HumanMessage):
+            chat_history.append({"content": message.content, "role": message.type})
+    return chat_history
+
+
+def generate_response(state: AgentState, model: LanguageModelLike, prompt_template: str) -> AgentState:
+    """Args:
+    ----
+        state (AgentState): _description_
+        model (LanguageModelLike): _description_
+        prompt_template (str): _description_.
+
+    Returns
+    -------
+        AgentState: _description_
+    """
+    prompt = ChatPromptTemplate.from_messages(
+        [
+            ("system", prompt_template),
+            ("placeholder", "{chat_history}"),
+            ("human", "{question}"),
+        ]
+    )
+    response_synthesizer = prompt | model
+    synthesized_response = response_synthesizer.invoke(
+        {
+            "question": state["query"],
+            "context": format_docs_for_citations(state["documents"]),
+            # NOTE: we're ignoring the last message here, as it's going to contain the most recent
+            # query and we don't want that to be included in the chat history
+            "chat_history": get_chat_history(convert_to_messages(state["messages"][:-1])),
+        }
+    )
+    return {
+        "messages": [synthesized_response],
+    }
+
+
+def generate_response_default(state: AgentState) -> AgentState:
+    return generate_response(state, llm, RESPONSE_TEMPLATE)
+
+
+def generate_response_cohere(state: AgentState) -> AgentState:
+    model = llm.bind(documents=state["documents"])
+    return generate_response(state, model, COHERE_RESPONSE_TEMPLATE)
+
+
+def route_to_response_synthesizer(state: AgentState, config: RunnableConfig) -> Literal["response_synthesizer", "response_synthesizer_cohere"]:
+    model_name = config.get("configurable", {}).get("model_name", OPENAI_MODEL_KEY)
+    if model_name == COHERE_MODEL_KEY:
+        return "response_synthesizer_cohere"
+    else:
+        return "response_synthesizer"
+
+
+def build_graph():
+    """Build the graph for the agent.
+
+    Returns
+    -------
+        Graph: The generated graph for RAG.
+    """
+    workflow = StateGraph(AgentState)
+
+    # define nodes
+    workflow.add_node("retriever", retrieve_documents)
+    workflow.add_node("retriever_with_chat_history", retrieve_documents_with_chat_history)
+    workflow.add_node("response_synthesizer", generate_response_default)
+    workflow.add_node("response_synthesizer_cohere", generate_response_cohere)
+
+    # set entry point to retrievers
+    workflow.set_conditional_entry_point(route_to_retriever)
+
+    # connect retrievers and response synthesizers
+    workflow.add_conditional_edges("retriever", route_to_response_synthesizer)
+    workflow.add_conditional_edges("retriever_with_chat_history", route_to_response_synthesizer)
+
+    # connect synthesizers to terminal node
+    workflow.add_edge("response_synthesizer", END)
+    workflow.add_edge("response_synthesizer_cohere", END)
+
+    return workflow.compile()
+
+
+# answer = graph.invoke({"messages": [{"role": "human", "content": "wer ist der vater von luke skywalker?"}, {"role": "assistant", "content": "Der Vater von Luke Skywalker war Anakin Skywalker."}, {"role": "human", "content": "und wer ist seine mutter?"}]})
+# logger.info(answer)
diff --git a/agent/backend/ollama_service.py b/agent/backend/ollama_service.py
index 21e8cbb..1be2e9b 100644
--- a/agent/backend/ollama_service.py
+++ b/agent/backend/ollama_service.py
@@ -1,14 +1,12 @@
 """Ollama Backend."""
 
 from dotenv import load_dotenv
-from langchain_community.chat_models import ChatOllama
 from langchain_community.document_loaders import DirectoryLoader, PyPDFium2Loader, TextLoader
 from langchain_community.embeddings import OllamaEmbeddings
 from langchain_core.documents import Document
-from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.retrievers import BaseRetriever
-from langchain_core.runnables import RunnableParallel, RunnablePassthrough, chain
+from langchain_core.runnables import chain
 from langchain_text_splitters import NLTKTextSplitter
 from loguru import logger
 from omegaconf import DictConfig
@@ -19,7 +17,7 @@
     RAGRequest,
     SearchParams,
 )
-from agent.utils.utility import extract_text_from_langchain_documents, load_prompt_template
+from agent.utils.utility import load_prompt_template
 from agent.utils.vdb import generate_collection, init_vdb
 
 load_dotenv()
@@ -112,19 +110,6 @@ def retriever_with_score(query: str) -> list[Document]:
 
         return retriever_with_score
 
-    def create_rag_chain(self, rag: RAGRequest, search: SearchParams) -> tuple:
-        """Retrieval Augmented Generation."""
-        search_chain = self.create_search_chain(search=search)
-
-        rag_chain_from_docs = (
-            RunnablePassthrough.assign(context=(lambda x: extract_text_from_langchain_documents(x["context"])))
-            | self.prompt
-            | ChatOllama(model=self.cfg.ollama.model)
-            | StrOutputParser()
-        )
-
-        return RunnableParallel({"context": search_chain, "question": RunnablePassthrough()}).assign(answer=rag_chain_from_docs)
-
     def summarize_text(self, text: str) -> str:
         """Summarize text."""
 
diff --git a/agent/backend/open_ai_service.py b/agent/backend/open_ai_service.py
index d6d31f2..d7be3df 100644
--- a/agent/backend/open_ai_service.py
+++ b/agent/backend/open_ai_service.py
@@ -6,11 +6,9 @@
 from langchain.text_splitter import NLTKTextSplitter
 from langchain_community.document_loaders import DirectoryLoader, PyPDFium2Loader, TextLoader
 from langchain_core.documents import Document
-from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.retrievers import BaseRetriever
-from langchain_core.runnables import RunnableParallel, RunnablePassthrough, chain
-from langchain_openai import ChatOpenAI
+from langchain_core.runnables import chain
 from langchain_openai.embeddings import AzureOpenAIEmbeddings, OpenAIEmbeddings
 from loguru import logger
 from omegaconf import DictConfig
@@ -18,7 +16,7 @@
 
 from agent.backend.LLMBase import LLMBase
 from agent.data_model.request_data_model import RAGRequest, SearchParams
-from agent.utils.utility import extract_text_from_langchain_documents, generate_prompt, load_prompt_template
+from agent.utils.utility import generate_prompt, load_prompt_template
 from agent.utils.vdb import generate_collection, init_vdb
 
 load_dotenv()
@@ -168,43 +166,6 @@ def summarize_text(self, text: str) -> str:
 
         return response.choices[0].messages.content
 
-    def generate(self, prompt: str) -> str:
-        """Sent completion request to OpenAI API.
-
-        Args:
-        ----
-            prompt (str): The text on which the completion should be based.
-
-        Returns:
-        -------
-            str: Response from the OpenAI API.
-
-        """
-        openai.api_key = self.token
-        response = openai.chat.completions.create(
-            model=self.cfg.openai_completion.model,
-            messages=[{"role": "user", "content": prompt}],
-            temperature=self.cfg.openai_completion.temperature,
-            max_tokens=self.cfg.openai_completion.max_tokens,
-            top_p=self.cfg.openai_completion.top_p,
-            frequency_penalty=self.cfg.openai_completion.frequency_penalty,
-            presence_penalty=self.cfg.openai_completion.presence_penalty,
-            stop=self.cfg.openai_completion.stop,
-            stream=False,
-        )
-
-        return response.choices[0].message.content
-
-    def create_rag_chain(self, rag: RAGRequest, search: SearchParams) -> chain:
-        """Retrieval Augmented Generation."""
-        search_chain = self.create_search_chain(search=search)
-
-        rag_chain_from_docs = (
-            RunnablePassthrough.assign(context=(lambda x: extract_text_from_langchain_documents(x["context"]))) | self.prompt | ChatOpenAI() | StrOutputParser()
-        )
-
-        return RunnableParallel({"context": search_chain, "question": RunnablePassthrough()}).assign(answer=rag_chain_from_docs)
-
 
 if __name__ == "__main__":
     query = "Was ist Attention?"
diff --git a/agent/backend/prompts.py b/agent/backend/prompts.py
new file mode 100644
index 0000000..28a3ae3
--- /dev/null
+++ b/agent/backend/prompts.py
@@ -0,0 +1,66 @@
+RESPONSE_TEMPLATE = """\
+You are an expert programmer and problem-solver, tasked with answering any question.
+
+Generate a comprehensive and informative answer of 80 words or less for the \
+given question based solely on the provided search results. You must \
+only use information from the provided search results. Use an unbiased and \
+journalistic tone. Combine search results together into a coherent answer. Do not \
+repeat text. Cite search results using [${{number}}] notation. Only cite the most \
+relevant results that answer the question accurately. Place these citations at the end \
+of the sentence or paragraph that reference them - do not put them all at the end. If \
+different results refer to different entities within the same name, write separate \
+answers for each entity.
+
+You should use bullet points in your answer for readability. Put citations where they apply
+rather than putting them all at the end.
+
+If there is nothing in the context relevant to the question at hand, just say "Hmm, \
+I'm not sure." Don't try to make up an answer.
+
+Anything between the following `context`  html blocks is retrieved from a knowledge \
+bank, not part of the conversation with the user.
+
+<context>
+    {context}
+<context/>
+
+REMEMBER: If there is no relevant information within the context, just say "Hmm, I'm \
+not sure." Don't try to make up an answer. Anything between the preceding 'context' \
+html blocks is retrieved from a knowledge bank, not part of the conversation with the \
+user.\
+"""
+
+COHERE_RESPONSE_TEMPLATE = """\
+You are an expert programmer and problem-solver, tasked with answering any question \
+about Langchain.
+
+Generate a comprehensive and informative answer of 80 words or less for the \
+given question based solely on the provided search results (URL and content). You must \
+only use information from the provided search results. Use an unbiased and \
+journalistic tone. Combine search results together into a coherent answer. Do not \
+repeat text. Cite search results using [${{number}}] notation. Only cite the most \
+relevant results that answer the question accurately. Place these citations at the end \
+of the sentence or paragraph that reference them - do not put them all at the end. If \
+different results refer to different entities within the same name, write separate \
+answers for each entity.
+
+You should use bullet points in your answer for readability. Put citations where they apply
+rather than putting them all at the end.
+
+If there is nothing in the context relevant to the question at hand, just say "Hmm, \
+I'm not sure." Don't try to make up an answer.
+
+REMEMBER: If there is no relevant information within the context, just say "Hmm, I'm \
+not sure." Don't try to make up an answer. Anything between the preceding 'context' \
+html blocks is retrieved from a knowledge bank, not part of the conversation with the \
+user.\
+"""
+
+REPHRASE_TEMPLATE = """\
+Given the following conversation and a follow up question, rephrase the follow up \
+question to be a standalone question.
+
+Chat History:
+{chat_history}
+Follow Up Input: {question}
+Standalone Question:"""
diff --git a/agent/utils/utility.py b/agent/utils/utility.py
index f4e7b20..3ccec97 100644
--- a/agent/utils/utility.py
+++ b/agent/utils/utility.py
@@ -180,6 +180,14 @@ def extract_text_from_langchain_documents(docs: list[Document]) -> str:
     return "\n\n".join(f"Context {i+1}:\n{doc.page_content}" for i, doc in enumerate(docs))
 
 
+def format_docs_for_citations(docs: Sequence[Document]) -> str:
+    formatted_docs = []
+    for i, doc in enumerate(docs):
+        doc_string = f"<doc id='{i}'>{doc.page_content}</doc>"
+        formatted_docs.append(doc_string)
+    return "\n".join(formatted_docs)
+
+
 if __name__ == "__main__":
     # test the function
     generate_prompt("aleph_alpha_qa.j2", "This is a test text.", "What is the meaning of life?")
diff --git a/docker-compose.yml b/docker-compose.yml
index 776f929..adb24da 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -43,3 +43,15 @@ services:
       interval: 30s
       timeout: 10s
       retries: 3
+
+# docker-compose.yml
+  phoenix:
+    image: arizephoenix/phoenix:latest # Must be greater than 4.0 version to work
+    ports:
+      - 6006:6006  # PHOENIX_PORT
+      - 4317:4317  # PHOENIX_GRPC_PORT
+      - 9090:9090  # [Optional] PROMETHEUS PORT IF ENABLED
+    environment:
+      - PHOENIX_WORKING_DIR=/mnt/data
+    volumes:
+      - ./phoenix_data:/mnt/data   # PHOENIX_WORKING_DIR
diff --git a/poetry.lock b/poetry.lock
index d62ff37..3cc8ad1 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -126,6 +126,18 @@ files = [
 [package.dependencies]
 aiohttp = "*"
 
+[[package]]
+name = "aioitertools"
+version = "0.11.0"
+description = "itertools and builtins for AsyncIO and mixed iterables"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "aioitertools-0.11.0-py3-none-any.whl", hash = "sha256:04b95e3dab25b449def24d7df809411c10e62aab0cbe31a50ca4e68748c43394"},
+    {file = "aioitertools-0.11.0.tar.gz", hash = "sha256:42c68b8dd3a69c2bf7f2233bf7df4bb58b557bca5252ac02ed5187bbc67d6831"},
+]
+
 [[package]]
 name = "aiosignal"
 version = "1.3.1"
@@ -141,6 +153,45 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "aiosqlite"
+version = "0.20.0"
+description = "asyncio bridge to the standard sqlite3 module"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "aiosqlite-0.20.0-py3-none-any.whl", hash = "sha256:36a1deaca0cac40ebe32aac9977a6e2bbc7f5189f23f4a54d5908986729e5bd6"},
+    {file = "aiosqlite-0.20.0.tar.gz", hash = "sha256:6d35c8c256637f4672f843c31021464090805bf925385ac39473fb16eaaca3d7"},
+]
+
+[package.dependencies]
+typing_extensions = ">=4.0"
+
+[package.extras]
+dev = ["attribution (==1.7.0)", "black (==24.2.0)", "coverage[toml] (==7.4.1)", "flake8 (==7.0.0)", "flake8-bugbear (==24.2.6)", "flit (==3.9.0)", "mypy (==1.8.0)", "ufmt (==2.3.0)", "usort (==1.0.8.post1)"]
+docs = ["sphinx (==7.2.6)", "sphinx-mdinclude (==0.5.3)"]
+
+[[package]]
+name = "alembic"
+version = "1.13.1"
+description = "A database migration tool for SQLAlchemy."
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "alembic-1.13.1-py3-none-any.whl", hash = "sha256:2edcc97bed0bd3272611ce3a98d98279e9c209e7186e43e75bbb1b2bdfdbcc43"},
+    {file = "alembic-1.13.1.tar.gz", hash = "sha256:4932c8558bf68f2ee92b9bbcb8218671c627064d5b08939437af6d77dc05e595"},
+]
+
+[package.dependencies]
+Mako = "*"
+SQLAlchemy = ">=1.3.0"
+typing-extensions = ">=4"
+
+[package.extras]
+tz = ["backports.zoneinfo"]
+
 [[package]]
 name = "aleph-alpha-client"
 version = "7.1.0"
@@ -216,6 +267,83 @@ doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphin
 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", "uvloop (>=0.17)"]
 trio = ["trio (>=0.23)"]
 
+[[package]]
+name = "arize-phoenix"
+version = "4.5.0"
+description = "AI Observability and Evaluation"
+category = "main"
+optional = false
+python-versions = "<3.13,>=3.8"
+files = [
+    {file = "arize_phoenix-4.5.0-py3-none-any.whl", hash = "sha256:bc44f8003dadfcb606b763a3b3201d3c5f01e31723e60c3a78197363f3a900c0"},
+    {file = "arize_phoenix-4.5.0.tar.gz", hash = "sha256:66e51c6d54f478cec8e4aa2e7a39a1623b55bff4143e8378fe0ae87201c33d24"},
+]
+
+[package.dependencies]
+aioitertools = "*"
+aiosqlite = "*"
+alembic = ">=1.3.0,<2"
+arize-phoenix-evals = {version = ">=0.3.0", optional = true, markers = "extra == \"evals\""}
+cachetools = "*"
+grpcio = "*"
+hdbscan = ">=0.8.33"
+jinja2 = "*"
+numpy = "<2"
+openinference-instrumentation = "*"
+openinference-instrumentation-langchain = ">=0.1.12"
+openinference-instrumentation-llama-index = ">=1.2.0"
+openinference-instrumentation-openai = ">=0.1.4"
+openinference-semantic-conventions = ">=0.1.5"
+opentelemetry-exporter-otlp = "*"
+opentelemetry-proto = ">=1.12.0"
+opentelemetry-sdk = "*"
+opentelemetry-semantic-conventions = "*"
+pandas = "*"
+protobuf = ">=3.20,<6.0"
+psutil = "*"
+pyarrow = "*"
+requests = "*"
+scikit-learn = "*"
+scipy = "*"
+sqlalchemy = {version = ">=2.0.4,<3", extras = ["asyncio"]}
+sqlean-py = ">=3.45.1"
+starlette = "*"
+strawberry-graphql = "0.235.0"
+tqdm = "*"
+typing-extensions = {version = ">=4.5", markers = "python_version < \"3.12\""}
+umap-learn = "*"
+uvicorn = "*"
+wrapt = "*"
+
+[package.extras]
+container = ["opentelemetry-exporter-otlp", "opentelemetry-instrumentation-grpc", "opentelemetry-instrumentation-sqlalchemy", "opentelemetry-instrumentation-starlette", "opentelemetry-proto (>=1.12.0)", "opentelemetry-sdk", "opentelemetry-semantic-conventions", "prometheus-client", "py-grpc-prometheus", "strawberry-graphql[opentelemetry] (==0.235.0)", "uvloop"]
+dev = ["anthropic", "arize[autoembeddings,llm-evaluation]", "asyncpg", "gcsfs", "google-cloud-aiplatform (>=1.3)", "hatch", "jupyter", "langchain (>=0.0.334)", "litellm (>=1.0.3)", "llama-index (>=0.10.3)", "nbqa", "pandas-stubs (==2.0.3.230814)", "pandas-stubs (==2.2.2.240603)", "pre-commit", "prometheus-client", "psycopg[binary]", "pytest (==8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-postgresql", "ruff (==0.4.9)", "strawberry-graphql[debug-server,opentelemetry] (==0.235.0)"]
+evals = ["arize-phoenix-evals (>=0.3.0)"]
+experimental = ["tenacity"]
+llama-index = ["llama-index (==0.10.44)"]
+pg = ["asyncpg"]
+
+[[package]]
+name = "arize-phoenix-evals"
+version = "0.12.0"
+description = "LLM Evaluations"
+category = "main"
+optional = false
+python-versions = "<3.13,>=3.8"
+files = [
+    {file = "arize_phoenix_evals-0.12.0-py3-none-any.whl", hash = "sha256:8c7a34917ae7fc4c66f369a66fa5eb2343649e2adbf74a5043a1801329c97099"},
+    {file = "arize_phoenix_evals-0.12.0.tar.gz", hash = "sha256:5e3811c1525a63f013789f36b7c913fb234475642efd51f21c9fd5811861bf39"},
+]
+
+[package.dependencies]
+pandas = "*"
+tqdm = "*"
+typing-extensions = ">=4.5,<5"
+
+[package.extras]
+dev = ["anthropic (>0.18.0)", "boto3", "litellm (>=1.28.9)", "mistralai", "openai (>=1.0.0)", "vertexai"]
+test = ["anthropic (>=0.18.0)", "boto3", "litellm (>=1.28.9)", "mistralai", "nest-asyncio", "openai (>=1.0.0)", "openinference-semantic-conventions", "pandas", "pandas-stubs (<=2.0.2.230605)", "pytest (==7.4.4)", "pytest-asyncio", "respx", "tqdm", "types-tqdm", "typing-extensions (>=4.5,<5)", "vertexai"]
+
 [[package]]
 name = "astroid"
 version = "2.15.8"
@@ -292,6 +420,18 @@ urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >
 [package.extras]
 crt = ["awscrt (==0.20.9)"]
 
+[[package]]
+name = "cachetools"
+version = "5.3.3"
+description = "Extensible memoizing collections and decorators"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "cachetools-5.3.3-py3-none-any.whl", hash = "sha256:0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945"},
+    {file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"},
+]
+
 [[package]]
 name = "certifi"
 version = "2024.2.2"
@@ -584,6 +724,58 @@ files = [
 [package.extras]
 toml = ["tomli"]
 
+[[package]]
+name = "cython"
+version = "0.29.37"
+description = "The Cython compiler for writing C extensions for the Python language."
+category = "main"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
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+]
+
 [[package]]
 name = "dataclasses-json"
 version = "0.6.6"
@@ -600,6 +792,24 @@ 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."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
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+
+[package.dependencies]
+wrapt = ">=1.10,<2"
+
+[package.extras]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
+
 [[package]]
 name = "dill"
 version = "0.3.8"
@@ -931,6 +1141,24 @@ gitdb = ">=4.0.1,<5"
 doc = ["sphinx (==4.3.2)", "sphinx-autodoc-typehints", "sphinx-rtd-theme", "sphinxcontrib-applehelp (>=1.0.2,<=1.0.4)", "sphinxcontrib-devhelp (==1.0.2)", "sphinxcontrib-htmlhelp (>=2.0.0,<=2.0.1)", "sphinxcontrib-qthelp (==1.0.3)", "sphinxcontrib-serializinghtml (==1.1.5)"]
 test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions"]
 
+[[package]]
+name = "googleapis-common-protos"
+version = "1.63.2"
+description = "Common protobufs used in Google APIs"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
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+
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+
+[package.extras]
+grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
+
 [[package]]
 name = "gpt4all"
 version = "2.7.0"
@@ -953,6 +1181,18 @@ all = ["gpt4all[cuda]"]
 cuda = ["nvidia-cublas-cu12", "nvidia-cuda-runtime-cu12"]
 dev = ["black", "gpt4all[all]", "isort", "mkautodoc", "mkdocs-jupyter", "mkdocs-material", "mkdocstrings[python]", "pytest", "setuptools", "twine", "typing-extensions (>=3.10)", "wheel"]
 
+[[package]]
+name = "graphql-core"
+version = "3.2.3"
+description = "GraphQL implementation for Python, a port of GraphQL.js, the JavaScript reference implementation for GraphQL."
+category = "main"
+optional = false
+python-versions = ">=3.6,<4"
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+
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 version = "3.0.3"
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 [package.dependencies]
-grpcio = ">=1.64.1"
-protobuf = ">=5.26.1,<6.0dev"
+grpcio = ">=1.62.2"
+protobuf = ">=4.21.6,<5.0dev"
 setuptools = "*"
 
 [[package]]
@@ -1173,6 +1421,38 @@ files = [
 hpack = ">=4.0,<5"
 hyperframe = ">=6.0,<7"
 
+[[package]]
+name = "hdbscan"
+version = "0.8.37"
+description = "Clustering based on density with variable density clusters"
+category = "main"
+optional = false
+python-versions = "*"
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+
+[package.dependencies]
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+joblib = ">=1.0"
+numpy = ">=1.20,<2"
+scikit-learn = ">=0.20"
+scipy = ">=1.0"
+
 [[package]]
 name = "hpack"
 version = "4.0.0"
@@ -1353,6 +1633,26 @@ files = [
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 ]
 
+[[package]]
+name = "importlib-metadata"
+version = "7.1.0"
+description = "Read metadata from Python packages"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.dependencies]
+zipp = ">=0.5"
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+perf = ["ipython"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
+
 [[package]]
 name = "importlib-resources"
 version = "6.4.0"
@@ -1467,22 +1767,22 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.2.3"
+version = "0.2.5"
 description = "Building applications with LLMs through composability"
 category = "main"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "langchain-0.2.5.tar.gz", hash = "sha256:ffdbf4fcea46a10d461bcbda2402220fcfd72a0c70e9f4161ae0510067b9b3bd"},
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 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
-langchain-core = ">=0.2.0,<0.3.0"
+langchain-core = ">=0.2.7,<0.3.0"
 langchain-text-splitters = ">=0.2.0,<0.3.0"
 langsmith = ">=0.1.17,<0.2.0"
-numpy = ">=1,<2"
+numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""}
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
 requests = ">=2,<3"
@@ -1531,37 +1831,34 @@ tenacity = ">=8.1.0,<9.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.2"
+version = "0.2.9"
 description = "Building applications with LLMs through composability"
 category = "main"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "langchain_core-0.2.9.tar.gz", hash = "sha256:f1c59082642921727844e1cd0eb36d451edd1872c20e193aa3142aac03495986"},
 ]
 
 [package.dependencies]
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-langsmith = ">=0.1.0,<0.2.0"
-packaging = ">=23.2,<24.0"
-pydantic = ">=1,<3"
+langsmith = ">=0.1.75,<0.2.0"
+packaging = ">=23.2,<25"
+pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}
 PyYAML = ">=5.3"
-tenacity = ">=8.1.0,<9.0.0"
-
-[package.extras]
-extended-testing = ["jinja2 (>=3,<4)"]
+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-openai"
-version = "0.1.8"
+version = "0.1.9"
 description = "An integration package connecting OpenAI and LangChain"
 category = "main"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "langchain_openai-0.1.9-py3-none-any.whl", hash = "sha256:afae71ef315c967685e53fe061470438000946739a9492d5f2d53bd4ae9d495a"},
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 ]
 
 [package.dependencies]
@@ -1603,16 +1900,31 @@ langchain-core = ">=0.2.0,<0.3.0"
 [package.extras]
 extended-testing = ["beautifulsoup4 (>=4.12.3,<5.0.0)", "lxml (>=4.9.3,<6.0)"]
 
+[[package]]
+name = "langgraph"
+version = "0.1.1"
+description = "Building stateful, multi-actor applications with LLMs"
+category = "main"
+optional = false
+python-versions = "<4.0,>=3.9.0"
+files = [
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+]
+
+[package.dependencies]
+langchain-core = ">=0.2,<0.3"
+
 [[package]]
 name = "langsmith"
-version = "0.1.57"
+version = "0.1.81"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 category = "main"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -1754,6 +2066,37 @@ files = [
 [package.extras]
 test = ["pytest (==7.4.3)"]
 
+[[package]]
+name = "llvmlite"
+version = "0.43.0"
+description = "lightweight wrapper around basic LLVM functionality"
+category = "main"
+optional = false
+python-versions = ">=3.9"
+files = [
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+]
+
 [[package]]
 name = "loguru"
 version = "0.7.2"
@@ -1788,6 +2131,26 @@ files = [
 [package.extras]
 test = ["coverage[toml] (==5.2)", "pytest (>=6.0.0)", "pytest-mypy-plugins (==1.9.3)"]
 
+[[package]]
+name = "mako"
+version = "1.3.5"
+description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
+category = "main"
+optional = false
+python-versions = ">=3.8"
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+babel = ["Babel"]
+lingua = ["lingua"]
+testing = ["pytest"]
+
 [[package]]
 name = "markdown-it-py"
 version = "3.0.0"
@@ -2112,6 +2475,41 @@ plot = ["matplotlib"]
 tgrep = ["pyparsing"]
 twitter = ["twython"]
 
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+numpy = ">=1.22,<2.1"
+
 [[package]]
 name = "numpy"
 version = "1.26.4"
@@ -2176,14 +2574,14 @@ PyYAML = ">=5.1.0"
 
 [[package]]
 name = "openai"
-version = "1.33.0"
+version = "1.35.3"
 description = "The official Python library for the openai API"
 category = "main"
 optional = false
 python-versions = ">=3.7.1"
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 [package.dependencies]
@@ -2198,6 +2596,265 @@ typing-extensions = ">=4.7,<5"
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
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+[package.extras]
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+
+[[package]]
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+description = "OpenInference LangChain Instrumentation"
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+python-versions = "<3.13,>=3.8"
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+opentelemetry-semantic-conventions = "*"
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+
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 [[package]]
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 version = "3.10.3"
@@ -2266,6 +2923,76 @@ files = [
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+
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@@ -2707,6 +3464,25 @@ tomlkit = ">=0.10.1"
 spelling = ["pyenchant (>=3.2,<4.0)"]
 testutils = ["gitpython (>3)"]
 
+[[package]]
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 version = "306"
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 crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"]
 
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+channels = ["asgiref (>=3.2,<4.0)", "channels (>=3.0.5)"]
+cli = ["graphlib_backport", "libcst (>=0.4.7)", "pygments (>=2.3,<3.0)", "rich (>=12.0.0)", "typer (>=0.7.0)"]
+debug = ["libcst (>=0.4.7)", "rich (>=12.0.0)"]
+debug-server = ["libcst (>=0.4.7)", "pygments (>=2.3,<3.0)", "python-multipart (>=0.0.7)", "rich (>=12.0.0)", "starlette (>=0.18.0)", "typer (>=0.7.0)", "uvicorn (>=0.11.6)"]
+django = ["Django (>=3.2)", "asgiref (>=3.2,<4.0)"]
+fastapi = ["fastapi (>=0.65.2)", "python-multipart (>=0.0.7)"]
+flask = ["flask (>=1.1)"]
+litestar = ["litestar (>=2)"]
+opentelemetry = ["opentelemetry-api (<2)", "opentelemetry-sdk (<2)"]
+pydantic = ["pydantic (>1.6.1)"]
+pyinstrument = ["pyinstrument (>=4.0.0)"]
+quart = ["quart (>=0.19.3)"]
+sanic = ["sanic (>=20.12.2)"]
+starlite = ["starlite (>=1.48.0)"]
+
 [[package]]
 name = "tenacity"
 version = "8.3.0"
@@ -3306,6 +4259,18 @@ files = [
 doc = ["reno", "sphinx"]
 test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
+[[package]]
+name = "threadpoolctl"
+version = "3.5.0"
+description = "threadpoolctl"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "threadpoolctl-3.5.0-py3-none-any.whl", hash = "sha256:56c1e26c150397e58c4926da8eeee87533b1e32bef131bd4bf6a2f45f3185467"},
+    {file = "threadpoolctl-3.5.0.tar.gz", hash = "sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107"},
+]
+
 [[package]]
 name = "tiktoken"
 version = "0.7.0"
@@ -3730,6 +4695,18 @@ files = [
 mypy-extensions = ">=0.3.0"
 typing-extensions = ">=3.7.4"
 
+[[package]]
+name = "tzdata"
+version = "2024.1"
+description = "Provider of IANA time zone data"
+category = "main"
+optional = false
+python-versions = ">=2"
+files = [
+    {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
+    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
+]
+
 [[package]]
 name = "ujson"
 version = "5.10.0"
@@ -3833,6 +4810,31 @@ files = [
 [package.dependencies]
 omegaconf = ">=2.3.0,<3.0.0"
 
+[[package]]
+name = "umap-learn"
+version = "0.5.6"
+description = "Uniform Manifold Approximation and Projection"
+category = "main"
+optional = false
+python-versions = "*"
+files = [
+    {file = "umap-learn-0.5.6.tar.gz", hash = "sha256:5b3917a862c23ba0fc83bfcd67a7b719dec85b3d9c01fdc7d894cce455df4e03"},
+    {file = "umap_learn-0.5.6-py3-none-any.whl", hash = "sha256:881cc0c2ee845b790bf0455aa1664f9f68b838d9d0fe12a1291b85c5a559c913"},
+]
+
+[package.dependencies]
+numba = ">=0.51.2"
+numpy = ">=1.17"
+pynndescent = ">=0.5"
+scikit-learn = ">=0.22"
+scipy = ">=1.3.1"
+tqdm = "*"
+
+[package.extras]
+parametric-umap = ["tensorflow (>=2.1)"]
+plot = ["bokeh", "colorcet", "datashader", "holoviews", "matplotlib", "pandas", "scikit-image", "seaborn"]
+tbb = ["tbb (>=2019.0)"]
+
 [[package]]
 name = "urllib3"
 version = "2.2.1"
@@ -4111,7 +5113,7 @@ dev = ["black (>=19.3b0)", "pytest (>=4.6.2)"]
 name = "wrapt"
 version = "1.16.0"
 description = "Module for decorators, wrappers and monkey patching."
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -4291,7 +5293,23 @@ files = [
 idna = ">=2.0"
 multidict = ">=4.0"
 
+[[package]]
+name = "zipp"
+version = "3.19.2"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
+]
+
+[package.extras]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.12"
-content-hash = "2a081b3cf48a10e2d3197b27f920781f85021f6fc6051d1b44f40caef5947456"
+content-hash = "f7b3fbccc71c73cbd016255e7f74c49b97339d38bd8359dda4dfe4c7a4afa6ee"
diff --git a/pyproject.toml b/pyproject.toml
index 954496b..7d639f0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,7 +7,7 @@ readme = "README.md"
 
 [tool.poetry.dependencies]
 python = ">=3.11,<3.12"
-langchain = "^0.2.3"
+langchain = "^0.2.5"
 loguru = "^0.7.2"
 omegaconf = "^2.3.0"
 aleph-alpha-client = "^7.1.0"
@@ -16,9 +16,7 @@ python-dotenv = "^1.0.1"
 httpx = "^0.27.0"
 python-multipart = "^0.0.9"
 fastapi = "^0.111.0"
-openai = "^1.33.0"
-grpcio = "^1.64.1"
-grpcio-tools = "^1.64.1" # for qdrant
+openai = "^1.35.3"
 qdrant-client = "^1.8.2" # for qdrant
 uvicorn = "^0.30.1"
 gpt4all = "^2.7.0"
@@ -30,10 +28,12 @@ aiohttp = "^3.9.5" # security issue
 ultra-simple-config = "^0.1.0"
 gitpython = "^3.1.43" # https://github.com/advisories/GHSA-wfm5-v35h-vwf4
 jinja2 = "^3.1.4"
-langchain-openai = "^0.1.8"
+langchain-openai = "^0.1.9"
 langchain-cohere = "^0.1.5"
 langchain-community = "^0.2.4"
 langchain-qdrant = "^0.1.0"
+langgraph = "^0.1.1"
+arize-phoenix = {extras = ["evals"], version = "^4.5.0"}
 
 
 [tool.poetry.group.dev.dependencies]
diff --git a/requirements.txt b/requirements.txt
index 5bb7c71..9124456 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -81,9 +81,18 @@ aiohttp==3.9.5 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:f64fd07515dad67f24b6ea4a66ae2876c01031de91c93075b8093f07c0a2d93d \
     --hash=sha256:fcde4c397f673fdec23e6b05ebf8d4751314fa7c24f93334bf1f1364c1c69ac7 \
     --hash=sha256:ff84aeb864e0fac81f676be9f4685f0527b660f1efdc40dcede3c251ef1e867f
+aioitertools==0.11.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:04b95e3dab25b449def24d7df809411c10e62aab0cbe31a50ca4e68748c43394 \
+    --hash=sha256:42c68b8dd3a69c2bf7f2233bf7df4bb58b557bca5252ac02ed5187bbc67d6831
 aiosignal==1.3.1 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc \
     --hash=sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17
+aiosqlite==0.20.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:36a1deaca0cac40ebe32aac9977a6e2bbc7f5189f23f4a54d5908986729e5bd6 \
+    --hash=sha256:6d35c8c256637f4672f843c31021464090805bf925385ac39473fb16eaaca3d7
+alembic==1.13.1 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:2edcc97bed0bd3272611ce3a98d98279e9c209e7186e43e75bbb1b2bdfdbcc43 \
+    --hash=sha256:4932c8558bf68f2ee92b9bbcb8218671c627064d5b08939437af6d77dc05e595
 aleph-alpha-client==7.1.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:2bb130d07dd344cb22d715e147a76a9ed830a1ea97b786535e8c297b6ab4e681 \
     --hash=sha256:8d687456da92a83ca2530fe10a72e9b7ed2de721e25c8768e61d95426b60e131
@@ -95,6 +104,12 @@ antlr4-python3-runtime==4.9.3 ; python_version >= "3.11" and python_version < "3
 anyio==4.3.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8 \
     --hash=sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6
+arize-phoenix-evals==0.12.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:5e3811c1525a63f013789f36b7c913fb234475642efd51f21c9fd5811861bf39 \
+    --hash=sha256:8c7a34917ae7fc4c66f369a66fa5eb2343649e2adbf74a5043a1801329c97099
+arize-phoenix[evals]==4.5.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:66e51c6d54f478cec8e4aa2e7a39a1623b55bff4143e8378fe0ae87201c33d24 \
+    --hash=sha256:bc44f8003dadfcb606b763a3b3201d3c5f01e31723e60c3a78197363f3a900c0
 attrs==23.2.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30 \
     --hash=sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1
@@ -104,6 +119,9 @@ boto3==1.34.117 ; python_version >= "3.11" and python_version < "3.12" \
 botocore==1.34.117 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:26a431997f882bcdd1e835f44c24b2a1752b1c4e5183c2ce62999ce95d518d6c \
     --hash=sha256:4637ca42e6c51aebc4d9a2d92f97bf4bdb042e3f7985ff31a659a11e4c170e73
+cachetools==5.3.3 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945 \
+    --hash=sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105
 certifi==2024.2.2 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f \
     --hash=sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1
@@ -260,9 +278,55 @@ cohere==5.5.3 ; python_version >= "3.11" and python_version < "3.12" \
 colorama==0.4.6 ; python_version >= "3.11" and python_version < "3.12" and sys_platform == "win32" or python_version >= "3.11" and python_version < "3.12" and platform_system == "Windows" \
     --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \
     --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6
+cython==0.29.37 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:0301d4739c6894e012f1d410052082fdda9e63888c815d9e23e0f7f82fff7d79 \
+    --hash=sha256:0544f7a3e4437b89b356baa15387494c18214e03f2ffaddada5a2c71c3dfd24b \
+    --hash=sha256:0a0a6d5972bb3b8c7363cf19a42a988bb0c0bb5ebd9c736c84eca85113ccfdbe \
+    --hash=sha256:12192ab269e7185720f2d2f8894587bf1da4276db1b9b869e4622a093f18cae6 \
+    --hash=sha256:177481b0a7e003e5c49e2bf0dda1d6fe610c239f17642a5da9f18c2ad0c5f6b6 \
+    --hash=sha256:2618af0b8df26d32ee4e8858d4ad8167546596762620aeade84954ae37194a0e \
+    --hash=sha256:29415d8eb2fdc1ea518ca4810c50a2d062b387d4c9fbcfb3352346e93db22c6d \
+    --hash=sha256:2ad634dc77a6a74022881826099eccac19c9b79153942cc82e754ffac2bec116 \
+    --hash=sha256:2de3e729d25f041036e81e2f15683dd129f977dfb5b06267e30e8d7acec43225 \
+    --hash=sha256:3f87bef1808d255cf13be378c7ad27ae7c6db6df7732217d32428d1daf4109be \
+    --hash=sha256:4658499a41255431f6bbdca7e634e9c8d3a4c190bf24b4aa1646dac751d3da4d \
+    --hash=sha256:562f8f911dbd6f1a1b9be8f6cba097125700355688f613994ccd4406f220557a \
+    --hash=sha256:6c672089fba6a8f6690b8d7924a58c04477771401ad101d53171a13405ee12cb \
+    --hash=sha256:6cddb567dadb3aa3e280a8a35e5126030915ea744c2812206e9c194b8881475d \
+    --hash=sha256:79ecfc48694e156402c05561e0adb0e25a6e9d35ac0b41693733a08219d38c58 \
+    --hash=sha256:852cd4378cbc9ade02f53709107ff9fdad55019a3a636e8a27663ba6cfce10b6 \
+    --hash=sha256:8bf38373773f967cfd793997a6fb96cf972d41a9fce987ace5767349d6f15572 \
+    --hash=sha256:8c39c2f5a0fe29bb01de9b1fb449bf65bed6f192317c677f181732791c63fe28 \
+    --hash=sha256:9450e0766ab65947f8a2a36f9e59079fc879c3807ec936c61725a48c97741a52 \
+    --hash=sha256:95f1d6a83ef2729e67b3fa7318c829ce5b07ac64c084cd6af11c228e0364662c \
+    --hash=sha256:9a455347e20ddfad0c5dfee32a3e855ee96811269e5fd86be622ddc4cb326404 \
+    --hash=sha256:9e68bafeeb97d5a403fb1f7700bd4a55a1f8989824c323ae02ae8a4fcd88f6a1 \
+    --hash=sha256:a6164a05440dcd9daa760c6488bc91bdac1380c7b4b3aca38cf307ba66042d54 \
+    --hash=sha256:ac910a28a2fd3d280faf3077b6fe63b97a4b93994ff05647581846f0e4b2f8d1 \
+    --hash=sha256:af03854571738307a5f30cc6b724081d72db12f907699e7fdfc04c12c839158e \
+    --hash=sha256:af8e7b4397620e2d18259a11f3bfa026eff9846657e397d02616962dd5dd035a \
+    --hash=sha256:b048354fd380278f2fa096e7526973beb6e0491a9d44d7e4e29df52612d25776 \
+    --hash=sha256:b225d5e2091c224d4ab328165fef224ba3919b3ed44bd9b3241416f523b4d51a \
+    --hash=sha256:b6c48f1032b379135a5b4a31976d6c468e02490688acf9254c6c8ed27bd4cbd4 \
+    --hash=sha256:b82584836e9e7c0d6effee976595e5cd7fa88dbef3e96e900187983c1d4637d1 \
+    --hash=sha256:bbce388431a2608a81c8ab13cb14c50611473843ca766031b8b24bb1723faf79 \
+    --hash=sha256:c33508ede9172a6f6f99d5a6dadc7fee23c840423b411ef8b5a403c04e530297 \
+    --hash=sha256:cc1b9ce2b73b9ee8c305e06173b35c7c202d4b82d084a0cd73dcedfd6d310aec \
+    --hash=sha256:d94caf90ae9cb56116ca6d54cdcbccd3c4df6b0cb7233922b2233ee7fe81d05b \
+    --hash=sha256:e14cd44c830e53cf9d7269c87a6bcc638bb065ec07e24990e338162c7001d3c3 \
+    --hash=sha256:e841a8b4f9ceefb2916e32dac4f28a895cd519e8ece71505144da1ee355c548a \
+    --hash=sha256:e8af5975ecfae254d8c0051204fca995dda8f93cf9f0bbf7571e3cda2b0cef4d \
+    --hash=sha256:ea6d208be1906c5df25b674777d5905c6d8e9ef0b201b830849e0729ba08caba \
+    --hash=sha256:f2d621fe4cb50007446742134a890500b34e3f50abaf7993baaca02634af7e15 \
+    --hash=sha256:f813d4a6dd94adee5d4ff266191d1d95bf6d4164a4facc535422c021b2504cfb \
+    --hash=sha256:fa5b6a0f69bf1823c9fd038fa77a2568b78fda2de045a95b48a71dee4d0d578f \
+    --hash=sha256:fe0eaf6b1e9ee97c5ee7bfc943f00e36cf59d929db16886cb018352bff8208da
 dataclasses-json==0.6.6 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:0c09827d26fffda27f1be2fed7a7a01a29c5ddcd2eb6393ad5ebf9d77e9deae8 \
     --hash=sha256:e54c5c87497741ad454070ba0ed411523d46beb5da102e221efb873801b0ba85
+deprecated==1.2.14 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:6fac8b097794a90302bdbb17b9b815e732d3c4720583ff1b198499d78470466c \
+    --hash=sha256:e5323eb936458dccc2582dc6f9c322c852a775a27065ff2b0c4970b9d53d01b3
 distro==1.9.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed \
     --hash=sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2
@@ -400,10 +464,16 @@ gitdb==4.0.11 ; python_version >= "3.11" and python_version < "3.12" \
 gitpython==3.1.43 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:35f314a9f878467f5453cc1fee295c3e18e52f1b99f10f6cf5b1682e968a9e7c \
     --hash=sha256:eec7ec56b92aad751f9912a73404bc02ba212a23adb2c7098ee668417051a1ff
+googleapis-common-protos==1.63.2 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:27a2499c7e8aff199665b22741997e485eccc8645aa9176c7c988e6fae507945 \
+    --hash=sha256:27c5abdffc4911f28101e635de1533fb4cfd2c37fbaa9174587c799fac90aa87
 gpt4all==2.7.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:35891bb52f9179e82b07f61602b37e7b4cb695d1a9fa458e1fe3c01b4ad6abce \
     --hash=sha256:6e3263fbf4817916a09a7c1af36f90104fcb450b33a66bdb163dcd7587f56188 \
     --hash=sha256:b83275ff9ace9c5237cbee4a776b13f2187de22e7999639cb4e8ef84a171fcea
+graphql-core==3.2.3 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:06d2aad0ac723e35b1cb47885d3e5c45e956a53bc1b209a9fc5369007fe46676 \
+    --hash=sha256:5766780452bd5ec8ba133f8bf287dc92713e3868ddd83aee4faab9fc3e303dc3
 greenlet==3.0.3 ; python_version >= "3.11" and python_version < "3.12" and platform_machine == "aarch64" or python_version >= "3.11" and python_version < "3.12" and platform_machine == "ppc64le" or python_version >= "3.11" and python_version < "3.12" and platform_machine == "x86_64" or python_version >= "3.11" and python_version < "3.12" and platform_machine == "amd64" or python_version >= "3.11" and python_version < "3.12" and platform_machine == "AMD64" or python_version >= "3.11" and python_version < "3.12" and platform_machine == "win32" or python_version >= "3.11" and python_version < "3.12" and platform_machine == "WIN32" \
     --hash=sha256:01bc7ea167cf943b4c802068e178bbf70ae2e8c080467070d01bfa02f337ee67 \
     --hash=sha256:0448abc479fab28b00cb472d278828b3ccca164531daab4e970a0458786055d6 \
@@ -463,53 +533,61 @@ greenlet==3.0.3 ; python_version >= "3.11" and python_version < "3.12" and platf
     --hash=sha256:fcd2469d6a2cf298f198f0487e0a5b1a47a42ca0fa4dfd1b6862c999f018ebbf \
     --hash=sha256:fd096eb7ffef17c456cfa587523c5f92321ae02427ff955bebe9e3c63bc9f0da \
     --hash=sha256:fe754d231288e1e64323cfad462fcee8f0288654c10bdf4f603a39ed923bef33
-grpcio-tools==1.64.1 ; python_version >= "3.11" and python_version < "3.12" \
-    --hash=sha256:0a72a2d87529329117fca6493d948489f1963e3f645d27a785a27b54b05c38cb \
-    --hash=sha256:0d3572b62453342f4164cb245c434053c6991ee7bf883eb94f15e45f3121967b \
-    --hash=sha256:1c0db41e812e1741b59844c71c8dfc8c3076eb4472b4c30165aefacf609c81bf \
-    --hash=sha256:1f467bd03d70de23e7d68d3465fd9bfd5167d15168a569edacee730b4ec105bf \
-    --hash=sha256:22efb9a167da6fd051c76f1a00c4275b5d15e8b7842364c84dc4cc88def8fd4c \
-    --hash=sha256:23e6c847647e338b6ed139c7d10ed783dbb37d8ce078ce9ab0a3f7e6a518ff4e \
-    --hash=sha256:23eef1138065edf360ed649381cf1d9c9123b3a8c003a4b28bf0c4a5b025087a \
-    --hash=sha256:24340327f7fb85f7406910c9484f98dd9588bdf639578b9341920d67f64306a0 \
-    --hash=sha256:35efe38dd8cc5e05f44e67bcc2ae40f461862549b5d2590c1b644c5d4d93c390 \
-    --hash=sha256:37664461c8da4777c78772f79914ddd59914a4c1dc0bdd11ba86b569477a9d25 \
-    --hash=sha256:3cc3036589e416cf8516802d3e6c37fd7de1b6c4defc292a1859848515c67ab5 \
-    --hash=sha256:4a75c8f13762dc323b38e8dc7186d80a61c0d1321062850e3056221a4db779a4 \
-    --hash=sha256:5532fbac9e1229d3290a512d4253bd311ed742d3b77d634ce7240e97b4af32ac \
-    --hash=sha256:58eee15287eb54d1ba27d4e73fcd7e7a9f819e529a74dabc9cf3933fbe3bef07 \
-    --hash=sha256:59db889e5f698e00ea65032d3fddbfdbec72b22b285a57c167fb7a48bce2ca27 \
-    --hash=sha256:5ecfecf1da38fa9f0f95dd5f3314c04974be5af40264c520fbc1a9f4f5b1acca \
-    --hash=sha256:625cc1493d4672af90d23f9909bbc0c4041cfa9fa21f9228abe433f5ad9b356f \
-    --hash=sha256:646828eec31218e1314b04d7c62c78534d3478cae6348909b6a39ee880a757b2 \
-    --hash=sha256:6711f3e3fbfae9313e15f9abc47241d881772f3fb4e4d0257918bff24363139e \
-    --hash=sha256:6c8181318e3a21827c2f834fd0505040aa8f24fb568a154ff1c95c9802c0e3f5 \
-    --hash=sha256:6cef267289e3a1257ef79c399a4a244a2b508c4f8d28faf9b061983187b8c2ff \
-    --hash=sha256:72b3550b91adb8354656ecf0f6d1d4611299044bae11fb1e7cc1d1bb66b8c1eb \
-    --hash=sha256:759982ba0f942995bf170386559679b9d9f3b00caf103f346f3c33b8703c3057 \
-    --hash=sha256:7e67903fba7b122cad7e41b1347c71f2d8e484f51f5c91cacc52249b4ab274bf \
-    --hash=sha256:85808e3c020d6e08975be00521ec8841885740ffd84a48375305fe7198d8b9e5 \
-    --hash=sha256:8c7d0633b1177fafaeb76e9b0c7b8b14221eb1086874a79925879b298843f8a0 \
-    --hash=sha256:984ed040f13efcede72c4dfb298274df3877573ca305f51f5cb24249463d6a77 \
-    --hash=sha256:9d3fd5f43503ac594872ad4deb80c08353a3d73c9304afe0226bcb077d5dacca \
-    --hash=sha256:a078af44be25363f55cbedc33c560513f2b2928a0594c8069da0bc65917ef1a1 \
-    --hash=sha256:a29163cbc6ecaf6f853711420ddab7e35f24d9ee014a5e35b0a6b31c328d1c63 \
-    --hash=sha256:a5208855046a338c5663ca39f59fb167e24514f1287c266db42fbf2057373aa0 \
-    --hash=sha256:a653002b287accf79b0924bb1a76b33ea83774be57cef14e6ec383a965999ad5 \
-    --hash=sha256:a808aaa308e26fc5026b15008aec45bea8aa2f2662989cbaffa300601ac98fae \
-    --hash=sha256:a8fb6a4438ef1ce619bd6695799b0a06c049a0be3e10ecf0b5fc5d72929a9f02 \
-    --hash=sha256:acf9a8bce188bb760c138327a89f64be8bbeb062634d151c77bbcd138d60bdc6 \
-    --hash=sha256:b740e136a12a992c3c75dafe12d96c65e9249daa71e6b75f17aac5459c64f165 \
-    --hash=sha256:ba0758d779bc2134219c9ee392d7d30a7ff7f788fd68bf4f56bb4a0213e5d2e4 \
-    --hash=sha256:be39db97d13f3bd0b2ff9bf8d0e68f590f4877cf2c4db201a2f9d4d39724e137 \
-    --hash=sha256:c8cb5567cd5836b29d37ea12c8ccb753a19712ec459c4dbc05c084ca57b84b3b \
-    --hash=sha256:cf3fbad6312bb61f48eab8ae5d2b31dcb007653282d5901982e17111773104e1 \
-    --hash=sha256:d0f42307f951851894a1ddcbed2e2403fdb0ac0920bbb4ec5c80a2959a1d328d \
-    --hash=sha256:d9a470f9e72bccc8994b025fa40cb1a7202db17a5f8e1869f4c2079ded869ac2 \
-    --hash=sha256:e28cfaede2a243452252c94b72378f1d939b786689cb11d218fdae6a8421940f \
-    --hash=sha256:e8ffaa1972e64d968a706c954f6614e718abd10068b107727028ffb9506503d2 \
-    --hash=sha256:fd4a596ec2b34c8a6b15c6581ef7ea91c9b85f68099004da656db79e5a2b7a8c \
-    --hash=sha256:ff9b631788573bfbecfe8cb647d484dfac9cfbad4a7bb640a9e5dcfb24a1b3c5
+grpcio-tools==1.62.2 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:04a394cf5e51ba9be412eb9f6c482b6270bd81016e033e8eb7d21b8cc28fe8b5 \
+    --hash=sha256:04c607029ae3660fb1624ed273811ffe09d57d84287d37e63b5b802a35897329 \
+    --hash=sha256:10cc3321704ecd17c93cf68c99c35467a8a97ffaaed53207e9b2da6ae0308ee1 \
+    --hash=sha256:1679b4903aed2dc5bd8cb22a452225b05dc8470a076f14fd703581efc0740cdb \
+    --hash=sha256:184b4174d4bd82089d706e8223e46c42390a6ebac191073b9772abc77308f9fa \
+    --hash=sha256:19216e1fb26dbe23d12a810517e1b3fbb8d4f98b1a3fbebeec9d93a79f092de4 \
+    --hash=sha256:19ea69e41c3565932aa28a202d1875ec56786aea46a2eab54a3b28e8a27f9517 \
+    --hash=sha256:1d768a5c07279a4c461ebf52d0cec1c6ca85c6291c71ec2703fe3c3e7e28e8c4 \
+    --hash=sha256:1fe08d2038f2b7c53259b5c49e0ad08c8e0ce2b548d8185993e7ef67e8592cca \
+    --hash=sha256:217c2ee6a7ce519a55958b8622e21804f6fdb774db08c322f4c9536c35fdce7c \
+    --hash=sha256:2ce149ea55eadb486a7fb75a20f63ef3ac065ee6a0240ed25f3549ce7954c653 \
+    --hash=sha256:2ed775e844566ce9ce089be9a81a8b928623b8ee5820f5e4d58c1a9d33dfc5ae \
+    --hash=sha256:3708a747aa4b6b505727282ca887041174e146ae030ebcadaf4c1d346858df62 \
+    --hash=sha256:3a8d6f07e64c0c7756f4e0c4781d9d5a2b9cc9cbd28f7032a6fb8d4f847d0445 \
+    --hash=sha256:3c53b221378b035ae2f1881cbc3aca42a6075a8e90e1a342c2f205eb1d1aa6a1 \
+    --hash=sha256:40cd4eeea4b25bcb6903b82930d579027d034ba944393c4751cdefd9c49e6989 \
+    --hash=sha256:45db5da2bcfa88f2b86b57ef35daaae85c60bd6754a051d35d9449c959925b57 \
+    --hash=sha256:462e0ab8dd7c7b70bfd6e3195eebc177549ede5cf3189814850c76f9a340d7ce \
+    --hash=sha256:47117c8a7e861382470d0e22d336e5a91fdc5f851d1db44fa784b9acea190d87 \
+    --hash=sha256:472505d030135d73afe4143b0873efe0dcb385bd6d847553b4f3afe07679af00 \
+    --hash=sha256:4f6f32d39283ea834a493fccf0ebe9cfddee7577bdcc27736ad4be1732a36399 \
+    --hash=sha256:4f955702dc4b530696375251319d05223b729ed24e8673c2129f7a75d2caefbb \
+    --hash=sha256:4f989e5cebead3ae92c6abf6bf7b19949e1563a776aea896ac5933f143f0c45d \
+    --hash=sha256:58cbb24b3fa6ae35aa9c210fcea3a51aa5fef0cd25618eb4fd94f746d5a9b703 \
+    --hash=sha256:5b07b5874187e170edfbd7aa2ca3a54ebf3b2952487653e8c0b0d83601c33035 \
+    --hash=sha256:5fd5e1582b678e6b941ee5f5809340be5e0724691df5299aae8226640f94e18f \
+    --hash=sha256:6413581e14a80e0b4532577766cf0586de4dd33766a31b3eb5374a746771c07d \
+    --hash=sha256:72b61332f1b439c14cbd3815174a8f1d35067a02047c32decd406b3a09bb9890 \
+    --hash=sha256:759c60f24c33a181bbbc1232a6752f9b49fbb1583312a4917e2b389fea0fb0f2 \
+    --hash=sha256:76eb459bdf3fb666e01883270beee18f3f11ed44488486b61cd210b4e0e17cc1 \
+    --hash=sha256:7a49bccae1c7d154b78e991885c3111c9ad8c8fa98e91233de425718f47c6139 \
+    --hash=sha256:7d8b4e00c3d7237b92260fc18a561cd81f1da82e8be100db1b7d816250defc66 \
+    --hash=sha256:7ea369c4d1567d1acdf69c8ea74144f4ccad9e545df7f9a4fc64c94fa7684ba3 \
+    --hash=sha256:8214820990d01b52845f9fbcb92d2b7384a0c321b303e3ac614c219dc7d1d3af \
+    --hash=sha256:8c616d0ad872e3780693fce6a3ac8ef00fc0963e6d7815ce9dcfae68ba0fc287 \
+    --hash=sha256:987e774f74296842bbffd55ea8826370f70c499e5b5f71a8cf3103838b6ee9c3 \
+    --hash=sha256:9be84ff6d47fd61462be7523b49d7ba01adf67ce4e1447eae37721ab32464dd8 \
+    --hash=sha256:9d41e0e47dd075c075bb8f103422968a65dd0d8dc8613288f573ae91eb1053ba \
+    --hash=sha256:9f1ba79a253df9e553d20319c615fa2b429684580fa042dba618d7f6649ac7e4 \
+    --hash=sha256:a34d97c62e61bfe9e6cff0410fe144ac8cca2fc979ad0be46b7edf026339d161 \
+    --hash=sha256:a7e439476b29d6dac363b321781a113794397afceeb97dad85349db5f1cb5e9a \
+    --hash=sha256:ab84bae88597133f6ea7a2bdc57b2fda98a266fe8d8d4763652cbefd20e73ad7 \
+    --hash=sha256:b6746bc823958499a3cf8963cc1de00072962fb5e629f26d658882d3f4c35095 \
+    --hash=sha256:b8574469ecc4ff41d6bb95f44e0297cdb0d95bade388552a9a444db9cd7485cd \
+    --hash=sha256:bdc5dd3f57b5368d5d661d5d3703bcaa38bceca59d25955dff66244dbc987271 \
+    --hash=sha256:c195d74fe98541178ece7a50dad2197d43991e0f77372b9a88da438be2486f12 \
+    --hash=sha256:c384c838b34d1b67068e51b5bbe49caa6aa3633acd158f1ab16b5da8d226bc53 \
+    --hash=sha256:c48fabe40b9170f4e3d7dd2c252e4f1ff395dc24e49ac15fc724b1b6f11724da \
+    --hash=sha256:cbb8453ae83a1db2452b7fe0f4b78e4a8dd32be0f2b2b73591ae620d4d784d3d \
+    --hash=sha256:d58389fe8be206ddfb4fa703db1e24c956856fcb9a81da62b13577b3a8f7fda7 \
+    --hash=sha256:d82f681c9a9d933a9d8068e8e382977768e7779ddb8870fa0cf918d8250d1532 \
+    --hash=sha256:e33b59fb3efdddeb97ded988a871710033e8638534c826567738d3edce528752 \
+    --hash=sha256:ec674b4440ef4311ac1245a709e87b36aca493ddc6850eebe0b278d1f2b6e7d1 \
+    --hash=sha256:fa107460c842e4c1a6266150881694fefd4f33baa544ea9489601810c2210ef8
 grpcio==1.64.1 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:03b43d0ccf99c557ec671c7dede64f023c7da9bb632ac65dbc57f166e4970040 \
     --hash=sha256:0a12ddb1678ebc6a84ec6b0487feac020ee2b1659cbe69b80f06dbffdb249122 \
@@ -563,6 +641,22 @@ h11==0.14.0 ; python_version >= "3.11" and python_version < "3.12" \
 h2==4.1.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:03a46bcf682256c95b5fd9e9a99c1323584c3eec6440d379b9903d709476bc6d \
     --hash=sha256:a83aca08fbe7aacb79fec788c9c0bac936343560ed9ec18b82a13a12c28d2abb
+hdbscan==0.8.37 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:019d37de770149a0ca1437280da4749fb1e6264fdaa950b16e2ba151b6fa5117 \
+    --hash=sha256:09181f35be0b4b892f847491148e7e6d3bdf378feb3ffbf3b42be0b8adf3f402 \
+    --hash=sha256:48de95167829e23d2ebea6476d07cb00b403b013dae339f909dfa6f8d91dc9dd \
+    --hash=sha256:8c69c5c4daedb407baa02505e94cc1f7ac46abbc6f88eaab2fad37ffb7ac523a \
+    --hash=sha256:9a16ba02f0c2a652f3d9da96514d7bdc93fb5453d02f2a3a743637e645166c07 \
+    --hash=sha256:a34e5de4ef6586becfda4bef1c44c712eb578808862bf87f0fe3737180a0f3dd \
+    --hash=sha256:b4a2e8191e1e8f10b68116b16f6721b808ea3e858f162d660e394020c99f0de8 \
+    --hash=sha256:cd5de8d0dc392e901ed3e1662d2d8bb9bb516f9e8c6b38eb4513b854cf87ca8f \
+    --hash=sha256:d1cda887e78864978f793726bbf52591223f6a27125262034e6d763f5ae9bb65 \
+    --hash=sha256:d542d2bd54d18168b4b3284da3ef64d2a2b29555af75f97eba09a8e09407a6ce \
+    --hash=sha256:d5dbb26bff15953d38cf80b447110f73432c9344acb0abd1612a8484722806b4 \
+    --hash=sha256:d873c872c2718604ccb69944ae2016a198000b360b804fb830f46d4d845033b5 \
+    --hash=sha256:dc47871340d1853e569c5d8f6f8fc807e9c3131edd29169fc77a470674aa89b0 \
+    --hash=sha256:e305f061fe05f1c294a7f47e9e7641e445faa745ed843685eb38fb29b2e542e9 \
+    --hash=sha256:fb16934f4e28ea64408e5b5d4156e02d47fa20e6cc85780e543966b084bffd89
 hpack==4.0.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:84a076fad3dc9a9f8063ccb8041ef100867b1878b25ef0ee63847a5d53818a6c \
     --hash=sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095
@@ -624,6 +718,9 @@ hyperframe==6.0.1 ; python_version >= "3.11" and python_version < "3.12" \
 idna==3.7 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \
     --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0
+importlib-metadata==7.1.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570 \
+    --hash=sha256:b78938b926ee8d5f020fc4772d487045805a55ddbad2ecf21c6d60938dc7fcd2
 importlib-resources==6.4.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:50d10f043df931902d4194ea07ec57960f66a80449ff867bfe782b4c486ba78c \
     --hash=sha256:cdb2b453b8046ca4e3798eb1d84f3cce1446a0e8e7b5ef4efb600f19fc398145
@@ -648,24 +745,27 @@ langchain-cohere==0.1.5 ; python_version >= "3.11" and python_version < "3.12" \
 langchain-community==0.2.4 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:2bb6a1a36b8500a564d25d76469c02457b1a7c3afea6d4a609a47c06b993e3e4 \
     --hash=sha256:8582e9800f4837660dc297cccd2ee1ddc1d8c440d0fe8b64edb07620f0373b0e
-langchain-core==0.2.2 ; python_version >= "3.11" and python_version < "3.12" \
-    --hash=sha256:4b3b55a5f214acbcf8d6d8e322da3a9d6248d6b6f45ac1b86ab0494fd3716128 \
-    --hash=sha256:6884a87f7ac8e0d43e4d83c5f9efa95236c7bd535e22a0a51db19156875b4cd6
-langchain-openai==0.1.8 ; python_version >= "3.11" and python_version < "3.12" \
-    --hash=sha256:8125c84223e9f43b05defbca64eedbcf362fd78a680de6c25e64f973b34a8063 \
-    --hash=sha256:a11fcce15def7917c44232abda6baaa63dfc79fe44be1531eea650d39a44cd95
+langchain-core==0.2.9 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:426a5a4fea95a5db995ba5ab560b76edd4998fb6fe52ccc28ac987092a4cbfcd \
+    --hash=sha256:f1c59082642921727844e1cd0eb36d451edd1872c20e193aa3142aac03495986
+langchain-openai==0.1.9 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:730a94d68208678b9b9f64e4959a87057e021d6600754ea8b954e7765c7a62f1 \
+    --hash=sha256:afae71ef315c967685e53fe061470438000946739a9492d5f2d53bd4ae9d495a
 langchain-qdrant==0.1.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:3e4213425a806745409ad6705841fde948024699b44ff584ad58f95e82858116 \
     --hash=sha256:8f49c08b0e5e648ba3bb685914d50a2805ba2bff96922b2f3e6c51311284d3b0
 langchain-text-splitters==0.2.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:7b4c6a45f8471630a882b321e138329b6897102a5bc62f4c12be1c0b05bb9199 \
     --hash=sha256:b32ab4f7397f7d42c1fa3283fefc2547ba356bd63a68ee9092865e5ad83c82f9
-langchain==0.2.3 ; python_version >= "3.11" and python_version < "3.12" \
-    --hash=sha256:5dc33cd9c8008693d328b7cb698df69073acecc89ad9c2a95f243b3314f8d834 \
-    --hash=sha256:81962cc72cce6515f7bd71e01542727870789bf8b666c6913d85559080c1a201
-langsmith==0.1.57 ; python_version >= "3.11" and python_version < "3.12" \
-    --hash=sha256:4682204de19f0218029c2b8445ce2cc3485c8d0df9796b31e2ce4c9051fce365 \
-    --hash=sha256:dbd83b0944a2fbea4151f0aa053530d93fcf6784a580621bc60633cb890b57dc
+langchain==0.2.5 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:9aded9a65348254e1c93dcdaacffe4d1b6a5e7f74ef80c160c88ff78ad299228 \
+    --hash=sha256:ffdbf4fcea46a10d461bcbda2402220fcfd72a0c70e9f4161ae0510067b9b3bd
+langgraph==0.1.1 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:6d798072625fd23ff155d40ee823b4e5eb00731ad8a64e2551fd6ae0cb53aec4 \
+    --hash=sha256:cea9831c334f36bae9caa66637422e37f76f069b47233ceb253be6cfb3ecb35e
+langsmith==0.1.81 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:3251d823225eef23ee541980b9d9e506367eabbb7f985a086b5d09e8f78ba7e9 \
+    --hash=sha256:585ef3a2251380bd2843a664c9a28da4a7d28432e3ee8bcebf291ffb8e1f0af0
 lingua-language-detector==2.0.2 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:013a57405ce9b5d03250fc50cd09b10122f21398851c4ecce98647fe7585b5f4 \
     --hash=sha256:01b69fc794474611978bbc922cbff154ef390287df47c1a48699c589a78587a2 \
@@ -741,9 +841,34 @@ lingua-language-detector==2.0.2 ; python_version >= "3.11" and python_version <
     --hash=sha256:f5abfba01b9d1d4e23c647871203692f6e14cbd41a5d99a19ae3504e987a175c \
     --hash=sha256:fc6f2548fe6aa94ac0a0868cd67b468dc6b03982ecb9d6d04aeb6716d45995c2 \
     --hash=sha256:ffa8eff2bbfbf80469a6c4ee3864ccfd4dc7150717e9a1abcf4580b354ccea10
+llvmlite==0.43.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:14f0e4bf2fd2d9a75a3534111e8ebeb08eda2f33e9bdd6dfa13282afacdde0ed \
+    --hash=sha256:18e9953c748b105668487b7c81a3e97b046d8abf95c4ddc0cd3c94f4e4651ae8 \
+    --hash=sha256:35d80d61d0cda2d767f72de99450766250560399edc309da16937b93d3b676e7 \
+    --hash=sha256:3e8d0618cb9bfe40ac38a9633f2493d4d4e9fcc2f438d39a4e854f39cc0f5f98 \
+    --hash=sha256:47e147cdda9037f94b399bf03bfd8a6b6b1f2f90be94a454e3386f006455a9b4 \
+    --hash=sha256:6912a87782acdff6eb8bf01675ed01d60ca1f2551f8176a300a886f09e836a6a \
+    --hash=sha256:6d4fd101f571a31acb1559ae1af30f30b1dc4b3186669f92ad780e17c81e91bc \
+    --hash=sha256:74937acd22dc11b33946b67dca7680e6d103d6e90eeaaaf932603bec6fe7b03a \
+    --hash=sha256:7a2872ee80dcf6b5dbdc838763d26554c2a18aa833d31a2635bff16aafefb9c9 \
+    --hash=sha256:7d434ec7e2ce3cc8f452d1cd9a28591745de022f931d67be688a737320dfcead \
+    --hash=sha256:977525a1e5f4059316b183fb4fd34fa858c9eade31f165427a3977c95e3ee749 \
+    --hash=sha256:9cd2a7376f7b3367019b664c21f0c61766219faa3b03731113ead75107f3b66c \
+    --hash=sha256:a289af9a1687c6cf463478f0fa8e8aa3b6fb813317b0d70bf1ed0759eab6f761 \
+    --hash=sha256:ae2b5b5c3ef67354824fb75517c8db5fbe93bc02cd9671f3c62271626bc041d5 \
+    --hash=sha256:bc9efc739cc6ed760f795806f67889923f7274276f0eb45092a1473e40d9b867 \
+    --hash=sha256:c1da416ab53e4f7f3bc8d4eeba36d801cc1894b9fbfbf2022b29b6bad34a7df2 \
+    --hash=sha256:d5bd550001d26450bd90777736c69d68c487d17bf371438f975229b2b8241a91 \
+    --hash=sha256:df6509e1507ca0760787a199d19439cc887bfd82226f5af746d6977bd9f66844 \
+    --hash=sha256:e0a9a1a39d4bf3517f2af9d23d479b4175ead205c592ceeb8b89af48a327ea57 \
+    --hash=sha256:eccce86bba940bae0d8d48ed925f21dbb813519169246e2ab292b5092aba121f \
+    --hash=sha256:f99b600aa7f65235a5a05d0b9a9f31150c390f31261f2a0ba678e26823ec38f7
 loguru==0.7.2 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:003d71e3d3ed35f0f8984898359d65b79e5b21943f78af86aa5491210429b8eb \
     --hash=sha256:e671a53522515f34fd406340ee968cb9ecafbc4b36c679da03c18fd8d0bd51ac
+mako==1.3.5 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:260f1dbc3a519453a9c856dedfe4beb4e50bd5a26d96386cb6c80856556bb91a \
+    --hash=sha256:48dbc20568c1d276a2698b36d968fa76161bf127194907ea6fc594fa81f943bc
 markdown-it-py==3.0.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1 \
     --hash=sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb
@@ -911,6 +1036,28 @@ mypy-extensions==1.0.0 ; python_version >= "3.11" and python_version < "3.12" \
 nltk==3.8.1 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:1834da3d0682cba4f2cede2f9aad6b0fafb6461ba451db0efb6f9c39798d64d3 \
     --hash=sha256:fd5c9109f976fa86bcadba8f91e47f5e9293bd034474752e92a520f81c93dda5
+numba==0.60.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:01ef4cd7d83abe087d644eaa3d95831b777aa21d441a23703d649e06b8e06b74 \
+    --hash=sha256:0b983bd6ad82fe868493012487f34eae8bf7dd94654951404114f23c3466d34b \
+    --hash=sha256:0ebaa91538e996f708f1ab30ef4d3ddc344b64b5227b67a57aa74f401bb68b9d \
+    --hash=sha256:1527dc578b95c7c4ff248792ec33d097ba6bef9eda466c948b68dfc995c25781 \
+    --hash=sha256:159e618ef213fba758837f9837fb402bbe65326e60ba0633dbe6c7f274d42c1b \
+    --hash=sha256:19407ced081d7e2e4b8d8c36aa57b7452e0283871c296e12d798852bc7d7f198 \
+    --hash=sha256:3031547a015710140e8c87226b4cfe927cac199835e5bf7d4fe5cb64e814e3ab \
+    --hash=sha256:38d6ea4c1f56417076ecf8fc327c831ae793282e0ff51080c5094cb726507b1c \
+    --hash=sha256:3fb02b344a2a80efa6f677aa5c40cd5dd452e1b35f8d1c2af0dfd9ada9978e4b \
+    --hash=sha256:4142d7ac0210cc86432b818338a2bc368dc773a2f5cf1e32ff7c5b378bd63ee8 \
+    --hash=sha256:5d761de835cd38fb400d2c26bb103a2726f548dc30368853121d66201672e651 \
+    --hash=sha256:5df6158e5584eece5fc83294b949fd30b9f1125df7708862205217e068aabf16 \
+    --hash=sha256:5f4fde652ea604ea3c86508a3fb31556a6157b2c76c8b51b1d45eb40c8598703 \
+    --hash=sha256:62908d29fb6a3229c242e981ca27e32a6e606cc253fc9e8faeb0e48760de241e \
+    --hash=sha256:819a3dfd4630d95fd574036f99e47212a1af41cbcb019bf8afac63ff56834449 \
+    --hash=sha256:a17b70fc9e380ee29c42717e8cc0bfaa5556c416d94f9aa96ba13acb41bdece8 \
+    --hash=sha256:c151748cd269ddeab66334bd754817ffc0cabd9433acb0f551697e5151917d25 \
+    --hash=sha256:cac02c041e9b5bc8cf8f2034ff6f0dbafccd1ae9590dc146b3a02a45e53af4e2 \
+    --hash=sha256:d7da4098db31182fc5ffe4bc42c6f24cd7d1cb8a14b59fd755bfee32e34b8404 \
+    --hash=sha256:f75262e8fe7fa96db1dca93d53a194a38c46da28b112b8a4aca168f0df860347 \
+    --hash=sha256:fe0b28abb8d70f8160798f4de9d486143200f34458d34c4a214114e445d7124e
 numpy==1.26.4 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \
     --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \
@@ -951,9 +1098,51 @@ numpy==1.26.4 ; python_version >= "3.11" and python_version < "3.12" \
 omegaconf==2.3.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:7b4df175cdb08ba400f45cae3bdcae7ba8365db4d165fc65fd04b050ab63b46b \
     --hash=sha256:d5d4b6d29955cc50ad50c46dc269bcd92c6e00f5f90d23ab5fee7bfca4ba4cc7
-openai==1.33.0 ; python_version >= "3.11" and python_version < "3.12" \
-    --hash=sha256:1169211a7b326ecbc821cafb427c29bfd0871f9a3e0947dd9e51acb3b0f1df78 \
-    --hash=sha256:621163b56570897ab8389d187f686a53d4771fd6ce95d481c0a9611fe8bc4229
+openai==1.35.3 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:7b26544cef80f125431c073ffab3811d2421fbb9e30d3bd5c2436aba00b042d5 \
+    --hash=sha256:d6177087f150b381d49499be782d764213fdf638d391b29ca692b84dd675a389
+openinference-instrumentation-langchain==0.1.20 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:1c8420dbe66bd6ecb58ae819b65cad50e98b47e59460d490c09c696bc52a08a2 \
+    --hash=sha256:763c52153c57bef3e4c6b2079df0bc9d141d3da7dad58bd39947011d65c1abfb
+openinference-instrumentation-llama-index==2.0.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:300208465fa4e549a71f6426966ae3cfef2a32d3f229141b3fcb2b3276faa90a \
+    --hash=sha256:353040d94ab53c3023cac9aeac62d3c587744de23ac32b303db293191c0dd8ae
+openinference-instrumentation-openai==0.1.6 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:5728608419636babc7ffcf3b981e7f9773a284a156f9977396889c2359725ee9 \
+    --hash=sha256:e8261d598c4e3d4ca5cb52bbd9b9a61007cda628fc17ad6991f0e616c1db2817
+openinference-instrumentation==0.1.7 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:0e3ecc6166f1748fa8a6ad7931f508a5b685a7ca75025dd7e831fa8995d0c3f6 \
+    --hash=sha256:bc4cb01b41e8dafe1dd518ded049dfe2e92f23b155a5fb0fa14e40a0586b7e1f
+openinference-semantic-conventions==0.1.6 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:d8da5341940fc35f4a07a8196fafb8a8d61031178a8e06700c05d4e10e89fc51 \
+    --hash=sha256:f752304efb121d8263695a38704f7d0ff1ee97b160c240fc96acb5f9aa901bf0
+opentelemetry-api==1.25.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:757fa1aa020a0f8fa139f8959e53dec2051cc26b832e76fa839a6d76ecefd737 \
+    --hash=sha256:77c4985f62f2614e42ce77ee4c9da5fa5f0bc1e1821085e9a47533a9323ae869
+opentelemetry-exporter-otlp-proto-common==1.25.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:15637b7d580c2675f70246563363775b4e6de947871e01d0f4e3881d1848d693 \
+    --hash=sha256:c93f4e30da4eee02bacd1e004eb82ce4da143a2f8e15b987a9f603e0a85407d3
+opentelemetry-exporter-otlp-proto-grpc==1.25.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:3131028f0c0a155a64c430ca600fd658e8e37043cb13209f0109db5c1a3e4eb4 \
+    --hash=sha256:c0b1661415acec5af87625587efa1ccab68b873745ca0ee96b69bb1042087eac
+opentelemetry-exporter-otlp-proto-http==1.25.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:2eca686ee11b27acd28198b3ea5e5863a53d1266b91cda47c839d95d5e0541a6 \
+    --hash=sha256:9f8723859e37c75183ea7afa73a3542f01d0fd274a5b97487ea24cb683d7d684
+opentelemetry-exporter-otlp==1.25.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:ce03199c1680a845f82e12c0a6a8f61036048c07ec7a0bd943142aca8fa6ced0 \
+    --hash=sha256:d67a831757014a3bc3174e4cd629ae1493b7ba8d189e8a007003cacb9f1a6b60
+opentelemetry-instrumentation==0.46b0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:89cd721b9c18c014ca848ccd11181e6b3fd3f6c7669e35d59c48dc527408c18b \
+    --hash=sha256:974e0888fb2a1e01c38fbacc9483d024bb1132aad92d6d24e2e5543887a7adda
+opentelemetry-proto==1.25.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:35b6ef9dc4a9f7853ecc5006738ad40443701e52c26099e197895cbda8b815a3 \
+    --hash=sha256:f07e3341c78d835d9b86665903b199893befa5e98866f63d22b00d0b7ca4972f
+opentelemetry-sdk==1.25.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:ce7fc319c57707ef5bf8b74fb9f8ebdb8bfafbe11898410e0d2a761d08a98ec7 \
+    --hash=sha256:d97ff7ec4b351692e9d5a15af570c693b8715ad78b8aafbec5c7100fe966b4c9
+opentelemetry-semantic-conventions==0.46b0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:6daef4ef9fa51d51855d9f8e0ccd3a1bd59e0e545abe99ac6203804e36ab3e07 \
+    --hash=sha256:fbc982ecbb6a6e90869b15c1673be90bd18c8a56ff1cffc0864e38e2edffaefa
 orjson==3.10.3 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:0943a96b3fa09bee1afdfccc2cb236c9c64715afa375b2af296c73d91c23eab2 \
     --hash=sha256:0a62f9968bab8a676a164263e485f30a0b748255ee2f4ae49a0224be95f4532b \
@@ -1004,6 +1193,36 @@ orjson==3.10.3 ; python_version >= "3.11" and python_version < "3.12" \
 packaging==23.2 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5 \
     --hash=sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7
+pandas==2.2.2 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:001910ad31abc7bf06f49dcc903755d2f7f3a9186c0c040b827e522e9cef0863 \
+    --hash=sha256:0ca6377b8fca51815f382bd0b697a0814c8bda55115678cbc94c30aacbb6eff2 \
+    --hash=sha256:0cace394b6ea70c01ca1595f839cf193df35d1575986e484ad35c4aeae7266c1 \
+    --hash=sha256:1cb51fe389360f3b5a4d57dbd2848a5f033350336ca3b340d1c53a1fad33bcad \
+    --hash=sha256:2925720037f06e89af896c70bca73459d7e6a4be96f9de79e2d440bd499fe0db \
+    --hash=sha256:3e374f59e440d4ab45ca2fffde54b81ac3834cf5ae2cdfa69c90bc03bde04d76 \
+    --hash=sha256:40ae1dffb3967a52203105a077415a86044a2bea011b5f321c6aa64b379a3f51 \
+    --hash=sha256:43498c0bdb43d55cb162cdc8c06fac328ccb5d2eabe3cadeb3529ae6f0517c32 \
+    --hash=sha256:4abfe0be0d7221be4f12552995e58723c7422c80a659da13ca382697de830c08 \
+    --hash=sha256:58b84b91b0b9f4bafac2a0ac55002280c094dfc6402402332c0913a59654ab2b \
+    --hash=sha256:640cef9aa381b60e296db324337a554aeeb883ead99dc8f6c18e81a93942f5f4 \
+    --hash=sha256:66b479b0bd07204e37583c191535505410daa8df638fd8e75ae1b383851fe921 \
+    --hash=sha256:696039430f7a562b74fa45f540aca068ea85fa34c244d0deee539cb6d70aa288 \
+    --hash=sha256:6d2123dc9ad6a814bcdea0f099885276b31b24f7edf40f6cdbc0912672e22eee \
+    --hash=sha256:8635c16bf3d99040fdf3ca3db669a7250ddf49c55dc4aa8fe0ae0fa8d6dcc1f0 \
+    --hash=sha256:873d13d177501a28b2756375d59816c365e42ed8417b41665f346289adc68d24 \
+    --hash=sha256:8e5a0b00e1e56a842f922e7fae8ae4077aee4af0acb5ae3622bd4b4c30aedf99 \
+    --hash=sha256:8e90497254aacacbc4ea6ae5e7a8cd75629d6ad2b30025a4a8b09aa4faf55151 \
+    --hash=sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd \
+    --hash=sha256:90c6fca2acf139569e74e8781709dccb6fe25940488755716d1d354d6bc58bce \
+    --hash=sha256:92fd6b027924a7e178ac202cfbe25e53368db90d56872d20ffae94b96c7acc57 \
+    --hash=sha256:9dfde2a0ddef507a631dc9dc4af6a9489d5e2e740e226ad426a05cabfbd7c8ef \
+    --hash=sha256:9e79019aba43cb4fda9e4d983f8e88ca0373adbb697ae9c6c43093218de28b54 \
+    --hash=sha256:a77e9d1c386196879aa5eb712e77461aaee433e54c68cf253053a73b7e49c33a \
+    --hash=sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238 \
+    --hash=sha256:d187d355ecec3629624fccb01d104da7d7f391db0311145817525281e2804d23 \
+    --hash=sha256:ddf818e4e6c7c6f4f7c8a12709696d193976b591cc7dc50588d3d1a6b5dc8772 \
+    --hash=sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce \
+    --hash=sha256:eee3a87076c0756de40b05c5e9a6069c035ba43e8dd71c379e68cab2c20f16ad
 pillow==10.3.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:048ad577748b9fa4a99a0548c64f2cb8d672d5bf2e643a739ac8faff1164238c \
     --hash=sha256:048eeade4c33fdf7e08da40ef402e748df113fd0b4584e32c4af74fe78baaeb2 \
@@ -1077,18 +1296,36 @@ pillow==10.3.0 ; python_version >= "3.11" and python_version < "3.12" \
 portalocker==2.8.2 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33 \
     --hash=sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e
-protobuf==5.26.1 ; python_version >= "3.11" and python_version < "3.12" \
-    --hash=sha256:38aa5f535721d5bb99861166c445c4105c4e285c765fbb2ac10f116e32dcd46d \
-    --hash=sha256:3c388ea6ddfe735f8cf69e3f7dc7611e73107b60bdfcf5d0f024c3ccd3794e23 \
-    --hash=sha256:7ee014c2c87582e101d6b54260af03b6596728505c79f17c8586e7523aaa8f8c \
-    --hash=sha256:8ca2a1d97c290ec7b16e4e5dff2e5ae150cc1582f55b5ab300d45cb0dfa90e51 \
-    --hash=sha256:9b557c317ebe6836835ec4ef74ec3e994ad0894ea424314ad3552bc6e8835b4e \
-    --hash=sha256:b9ba3ca83c2e31219ffbeb9d76b63aad35a3eb1544170c55336993d7a18ae72c \
-    --hash=sha256:d693d2504ca96750d92d9de8a103102dd648fda04540495535f0fec7577ed8fc \
-    --hash=sha256:da612f2720c0183417194eeaa2523215c4fcc1a1949772dc65f05047e08d5932 \
-    --hash=sha256:e6039957449cb918f331d32ffafa8eb9255769c96aa0560d9a5bf0b4e00a2a33 \
-    --hash=sha256:f7417703f841167e5a27d48be13389d52ad705ec09eade63dfc3180a959215d7 \
-    --hash=sha256:fbfe61e7ee8c1860855696e3ac6cfd1b01af5498facc6834fcc345c9684fb2ca
+protobuf==4.25.3 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:19b270aeaa0099f16d3ca02628546b8baefe2955bbe23224aaf856134eccf1e4 \
+    --hash=sha256:209ba4cc916bab46f64e56b85b090607a676f66b473e6b762e6f1d9d591eb2e8 \
+    --hash=sha256:25b5d0b42fd000320bd7830b349e3b696435f3b329810427a6bcce6a5492cc5c \
+    --hash=sha256:7c8daa26095f82482307bc717364e7c13f4f1c99659be82890dcfc215194554d \
+    --hash=sha256:c053062984e61144385022e53678fbded7aea14ebb3e0305ae3592fb219ccfa4 \
+    --hash=sha256:d4198877797a83cbfe9bffa3803602bbe1625dc30d8a097365dbc762e5790faa \
+    --hash=sha256:e3c97a1555fd6388f857770ff8b9703083de6bf1f9274a002a332d65fbb56c8c \
+    --hash=sha256:e7cb0ae90dd83727f0c0718634ed56837bfeeee29a5f82a7514c03ee1364c019 \
+    --hash=sha256:f0700d54bcf45424477e46a9f0944155b46fb0639d69728739c0e47bab83f2b9 \
+    --hash=sha256:f1279ab38ecbfae7e456a108c5c0681e4956d5b1090027c1de0f934dfdb4b35c \
+    --hash=sha256:f4f118245c4a087776e0a8408be33cf09f6c547442c00395fbfb116fac2f8ac2
+psutil==6.0.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:02b69001f44cc73c1c5279d02b30a817e339ceb258ad75997325e0e6169d8b35 \
+    --hash=sha256:1287c2b95f1c0a364d23bc6f2ea2365a8d4d9b726a3be7294296ff7ba97c17f0 \
+    --hash=sha256:1e7c870afcb7d91fdea2b37c24aeb08f98b6d67257a5cb0a8bc3ac68d0f1a68c \
+    --hash=sha256:21f1fb635deccd510f69f485b87433460a603919b45e2a324ad65b0cc74f8fb1 \
+    --hash=sha256:33ea5e1c975250a720b3a6609c490db40dae5d83a4eb315170c4fe0d8b1f34b3 \
+    --hash=sha256:34859b8d8f423b86e4385ff3665d3f4d94be3cdf48221fbe476e883514fdb71c \
+    --hash=sha256:5fd9a97c8e94059b0ef54a7d4baf13b405011176c3b6ff257c247cae0d560ecd \
+    --hash=sha256:6ec7588fb3ddaec7344a825afe298db83fe01bfaaab39155fa84cf1c0d6b13c3 \
+    --hash=sha256:6ed2440ada7ef7d0d608f20ad89a04ec47d2d3ab7190896cd62ca5fc4fe08bf0 \
+    --hash=sha256:8faae4f310b6d969fa26ca0545338b21f73c6b15db7c4a8d934a5482faa818f2 \
+    --hash=sha256:a021da3e881cd935e64a3d0a20983bda0bb4cf80e4f74fa9bfcb1bc5785360c6 \
+    --hash=sha256:a495580d6bae27291324fe60cea0b5a7c23fa36a7cd35035a16d93bdcf076b9d \
+    --hash=sha256:a9a3dbfb4de4f18174528d87cc352d1f788b7496991cca33c6996f40c9e3c92c \
+    --hash=sha256:c588a7e9b1173b6e866756dde596fd4cad94f9399daf99ad8c3258b3cb2b47a0 \
+    --hash=sha256:e2e8d0054fc88153ca0544f5c4d554d42e33df2e009c4ff42284ac9ebdef4132 \
+    --hash=sha256:fc8c9510cde0146432bbdb433322861ee8c3efbf8589865c8bf8d21cb30c4d14 \
+    --hash=sha256:ffe7fc9b6b36beadc8c322f84e1caff51e8703b88eee1da46d1e3a6ae11b4fd0
 pyarrow==16.1.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:06ebccb6f8cb7357de85f60d5da50e83507954af617d7b05f48af1621d331c9a \
     --hash=sha256:0d07de3ee730647a600037bc1d7b7994067ed64d0eba797ac74b2bc77384f4c2 \
@@ -1267,6 +1504,9 @@ pydantic==2.7.1 ; python_version >= "3.11" and python_version < "3.12" \
 pygments==2.18.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199 \
     --hash=sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a
+pynndescent==0.5.13 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:69aabb8f394bc631b6ac475a1c7f3994c54adf3f51cd63b2730fefba5771b949 \
+    --hash=sha256:d74254c0ee0a1eeec84597d5fe89fedcf778593eeabe32c2f97412934a9800fb
 pypdfium2==4.30.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:0dfa61421b5eb68e1188b0b2231e7ba35735aef2d867d86e48ee6cab6975195e \
     --hash=sha256:119b2969a6d6b1e8d55e99caaf05290294f2d0fe49c12a3f17102d01c441bd29 \
@@ -1293,6 +1533,9 @@ python-liquid==1.12.1 ; python_version >= "3.11" and python_version < "3.12" \
 python-multipart==0.0.9 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:03f54688c663f1b7977105f021043b0793151e4cb1c1a9d4a11fc13d622c4026 \
     --hash=sha256:97ca7b8ea7b05f977dc3849c3ba99d51689822fab725c3703af7c866a0c2b215
+pytz==2024.1 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812 \
+    --hash=sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319
 pywin32==306 ; python_version >= "3.11" and python_version < "3.12" and platform_system == "Windows" \
     --hash=sha256:06d3420a5155ba65f0b72f2699b5bacf3109f36acbe8923765c22938a69dfc8d \
     --hash=sha256:1c73ea9a0d2283d889001998059f5eaaba3b6238f767c9cf2833b13e6a685f65 \
@@ -1452,6 +1695,54 @@ rich==13.7.1 ; python_version >= "3.11" and python_version < "3.12" \
 s3transfer==0.10.1 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:5683916b4c724f799e600f41dd9e10a9ff19871bf87623cc8f491cb4f5fa0a19 \
     --hash=sha256:ceb252b11bcf87080fb7850a224fb6e05c8a776bab8f2b64b7f25b969464839d
+scikit-learn==1.5.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:057b991ac64b3e75c9c04b5f9395eaf19a6179244c089afdebaad98264bff37c \
+    --hash=sha256:118a8d229a41158c9f90093e46b3737120a165181a1b58c03461447aa4657415 \
+    --hash=sha256:12e40ac48555e6b551f0a0a5743cc94cc5a765c9513fe708e01f0aa001da2801 \
+    --hash=sha256:174beb56e3e881c90424e21f576fa69c4ffcf5174632a79ab4461c4c960315ac \
+    --hash=sha256:1b94d6440603752b27842eda97f6395f570941857456c606eb1d638efdb38184 \
+    --hash=sha256:1f77547165c00625551e5c250cefa3f03f2fc92c5e18668abd90bfc4be2e0bff \
+    --hash=sha256:261fe334ca48f09ed64b8fae13f9b46cc43ac5f580c4a605cbb0a517456c8f71 \
+    --hash=sha256:2a65af2d8a6cce4e163a7951a4cfbfa7fceb2d5c013a4b593686c7f16445cf9d \
+    --hash=sha256:2c75ea812cd83b1385bbfa94ae971f0d80adb338a9523f6bbcb5e0b0381151d4 \
+    --hash=sha256:40fb7d4a9a2db07e6e0cae4dc7bdbb8fada17043bac24104d8165e10e4cff1a2 \
+    --hash=sha256:460806030c666addee1f074788b3978329a5bfdc9b7d63e7aad3f6d45c67a210 \
+    --hash=sha256:47132440050b1c5beb95f8ba0b2402bbd9057ce96ec0ba86f2f445dd4f34df67 \
+    --hash=sha256:4c0c56c3005f2ec1db3787aeaabefa96256580678cec783986836fc64f8ff622 \
+    --hash=sha256:789e3db01c750ed6d496fa2db7d50637857b451e57bcae863bff707c1247bef7 \
+    --hash=sha256:855fc5fa8ed9e4f08291203af3d3e5fbdc4737bd617a371559aaa2088166046e \
+    --hash=sha256:a03b09f9f7f09ffe8c5efffe2e9de1196c696d811be6798ad5eddf323c6f4d40 \
+    --hash=sha256:a3a10e1d9e834e84d05e468ec501a356226338778769317ee0b84043c0d8fb06 \
+    --hash=sha256:a90c5da84829a0b9b4bf00daf62754b2be741e66b5946911f5bdfaa869fcedd6 \
+    --hash=sha256:d82c2e573f0f2f2f0be897e7a31fcf4e73869247738ab8c3ce7245549af58ab8 \
+    --hash=sha256:df8ccabbf583315f13160a4bb06037bde99ea7d8211a69787a6b7c5d4ebb6fc3 \
+    --hash=sha256:f405c4dae288f5f6553b10c4ac9ea7754d5180ec11e296464adb5d6ac68b6ef5
+scipy==1.13.1 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:017367484ce5498445aade74b1d5ab377acdc65e27095155e448c88497755a5d \
+    --hash=sha256:095a87a0312b08dfd6a6155cbbd310a8c51800fc931b8c0b84003014b874ed3c \
+    --hash=sha256:20335853b85e9a49ff7572ab453794298bcf0354d8068c5f6775a0eabf350aca \
+    --hash=sha256:27e52b09c0d3a1d5b63e1105f24177e544a222b43611aaf5bc44d4a0979e32f9 \
+    --hash=sha256:2831f0dc9c5ea9edd6e51e6e769b655f08ec6db6e2e10f86ef39bd32eb11da54 \
+    --hash=sha256:2ac65fb503dad64218c228e2dc2d0a0193f7904747db43014645ae139c8fad16 \
+    --hash=sha256:392e4ec766654852c25ebad4f64e4e584cf19820b980bc04960bca0b0cd6eaa2 \
+    --hash=sha256:436bbb42a94a8aeef855d755ce5a465479c721e9d684de76bf61a62e7c2b81d5 \
+    --hash=sha256:45484bee6d65633752c490404513b9ef02475b4284c4cfab0ef946def50b3f59 \
+    --hash=sha256:54f430b00f0133e2224c3ba42b805bfd0086fe488835effa33fa291561932326 \
+    --hash=sha256:5713f62f781eebd8d597eb3f88b8bf9274e79eeabf63afb4a737abc6c84ad37b \
+    --hash=sha256:5d72782f39716b2b3509cd7c33cdc08c96f2f4d2b06d51e52fb45a19ca0c86a1 \
+    --hash=sha256:637e98dcf185ba7f8e663e122ebf908c4702420477ae52a04f9908707456ba4d \
+    --hash=sha256:8335549ebbca860c52bf3d02f80784e91a004b71b059e3eea9678ba994796a24 \
+    --hash=sha256:949ae67db5fa78a86e8fa644b9a6b07252f449dcf74247108c50e1d20d2b4627 \
+    --hash=sha256:a014c2b3697bde71724244f63de2476925596c24285c7a637364761f8710891c \
+    --hash=sha256:a78b4b3345f1b6f68a763c6e25c0c9a23a9fd0f39f5f3d200efe8feda560a5fa \
+    --hash=sha256:cdd7dacfb95fea358916410ec61bbc20440f7860333aee6d882bb8046264e949 \
+    --hash=sha256:cfa31f1def5c819b19ecc3a8b52d28ffdcc7ed52bb20c9a7589669dd3c250989 \
+    --hash=sha256:d533654b7d221a6a97304ab63c41c96473ff04459e404b83275b60aa8f4b7004 \
+    --hash=sha256:d605e9c23906d1994f55ace80e0125c587f96c020037ea6aa98d01b4bd2e222f \
+    --hash=sha256:de3ade0e53bc1f21358aa74ff4830235d716211d7d077e340c7349bc3542e884 \
+    --hash=sha256:e89369d27f9e7b0884ae559a3a956e77c02114cc60a6058b4e5011572eea9299 \
+    --hash=sha256:eccfa1906eacc02de42d70ef4aecea45415f5be17e72b61bafcfd329bdc52e94 \
+    --hash=sha256:f26264b282b9da0952a024ae34710c2aff7d27480ee91a2e82b7b7073c24722f
 setuptools==69.5.1 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:6c1fccdac05a97e598fb0ae3bbed5904ccb317337a51139dcd51453611bbb987 \
     --hash=sha256:c636ac361bc47580504644275c9ad802c50415c7522212252c033bd15f301f32
@@ -1517,12 +1808,99 @@ sqlalchemy==2.0.30 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:f69e4c756ee2686767eb80f94c0125c8b0a0b87ede03eacc5c8ae3b54b99dc46 \
     --hash=sha256:f7703c2010355dd28f53deb644a05fc30f796bd8598b43f0ba678878780b6e4c \
     --hash=sha256:fa561138a64f949f3e889eb9ab8c58e1504ab351d6cf55259dc4c248eaa19da6
+sqlalchemy[asyncio]==2.0.30 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:0094c5dc698a5f78d3d1539853e8ecec02516b62b8223c970c86d44e7a80f6c7 \
+    --hash=sha256:0138c5c16be3600923fa2169532205d18891b28afa817cb49b50e08f62198bb8 \
+    --hash=sha256:0a089e218654e740a41388893e090d2e2c22c29028c9d1353feb38638820bbeb \
+    --hash=sha256:0b3f4c438e37d22b83e640f825ef0f37b95db9aa2d68203f2c9549375d0b2260 \
+    --hash=sha256:16863e2b132b761891d6c49f0a0f70030e0bcac4fd208117f6b7e053e68668d0 \
+    --hash=sha256:1f9a727312ff6ad5248a4367358e2cf7e625e98b1028b1d7ab7b806b7d757513 \
+    --hash=sha256:2383146973a15435e4717f94c7509982770e3e54974c71f76500a0136f22810b \
+    --hash=sha256:2753743c2afd061bb95a61a51bbb6a1a11ac1c44292fad898f10c9839a7f75b2 \
+    --hash=sha256:296230899df0b77dec4eb799bcea6fbe39a43707ce7bb166519c97b583cfcab3 \
+    --hash=sha256:2a4f4da89c74435f2bc61878cd08f3646b699e7d2eba97144030d1be44e27584 \
+    --hash=sha256:2b1708916730f4830bc69d6f49d37f7698b5bd7530aca7f04f785f8849e95255 \
+    --hash=sha256:2ecabd9ccaa6e914e3dbb2aa46b76dede7eadc8cbf1b8083c94d936bcd5ffb49 \
+    --hash=sha256:311710f9a2ee235f1403537b10c7687214bb1f2b9ebb52702c5aa4a77f0b3af7 \
+    --hash=sha256:37a4b4fb0dd4d2669070fb05b8b8824afd0af57587393015baee1cf9890242d9 \
+    --hash=sha256:3a365eda439b7a00732638f11072907c1bc8e351c7665e7e5da91b169af794af \
+    --hash=sha256:3b48154678e76445c7ded1896715ce05319f74b1e73cf82d4f8b59b46e9c0ddc \
+    --hash=sha256:3b69e934f0f2b677ec111b4d83f92dc1a3210a779f69bf905273192cf4ed433e \
+    --hash=sha256:3cb5a646930c5123f8461f6468901573f334c2c63c795b9af350063a736d0134 \
+    --hash=sha256:408f8b0e2c04677e9c93f40eef3ab22f550fecb3011b187f66a096395ff3d9fd \
+    --hash=sha256:40ad017c672c00b9b663fcfcd5f0864a0a97828e2ee7ab0c140dc84058d194cf \
+    --hash=sha256:5a79d65395ac5e6b0c2890935bad892eabb911c4aa8e8015067ddb37eea3d56c \
+    --hash=sha256:5a8e3b0a7e09e94be7510d1661339d6b52daf202ed2f5b1f9f48ea34ee6f2d57 \
+    --hash=sha256:69c9db1ce00e59e8dd09d7bae852a9add716efdc070a3e2068377e6ff0d6fdaa \
+    --hash=sha256:7108d569d3990c71e26a42f60474b4c02c8586c4681af5fd67e51a044fdea86a \
+    --hash=sha256:77d2edb1f54aff37e3318f611637171e8ec71472f1fdc7348b41dcb226f93d90 \
+    --hash=sha256:7d74336c65705b986d12a7e337ba27ab2b9d819993851b140efdf029248e818e \
+    --hash=sha256:8409de825f2c3b62ab15788635ccaec0c881c3f12a8af2b12ae4910a0a9aeef6 \
+    --hash=sha256:955991a09f0992c68a499791a753523f50f71a6885531568404fa0f231832aa0 \
+    --hash=sha256:99650e9f4cf3ad0d409fed3eec4f071fadd032e9a5edc7270cd646a26446feeb \
+    --hash=sha256:9a5baf9267b752390252889f0c802ea13b52dfee5e369527da229189b8bd592e \
+    --hash=sha256:a0ef36b28534f2a5771191be6edb44cc2673c7b2edf6deac6562400288664221 \
+    --hash=sha256:a1429a4b0f709f19ff3b0cf13675b2b9bfa8a7e79990003207a011c0db880a13 \
+    --hash=sha256:a7bfc726d167f425d4c16269a9a10fe8630ff6d14b683d588044dcef2d0f6be7 \
+    --hash=sha256:a943d297126c9230719c27fcbbeab57ecd5d15b0bd6bfd26e91bfcfe64220621 \
+    --hash=sha256:ae8c62fe2480dd61c532ccafdbce9b29dacc126fe8be0d9a927ca3e699b9491a \
+    --hash=sha256:b60203c63e8f984df92035610c5fb76d941254cf5d19751faab7d33b21e5ddc0 \
+    --hash=sha256:b6bf767d14b77f6a18b6982cbbf29d71bede087edae495d11ab358280f304d8e \
+    --hash=sha256:b6c7ec2b1f4969fc19b65b7059ed00497e25f54069407a8701091beb69e591a5 \
+    --hash=sha256:bba002a9447b291548e8d66fd8c96a6a7ed4f2def0bb155f4f0a1309fd2735d5 \
+    --hash=sha256:bc0c53579650a891f9b83fa3cecd4e00218e071d0ba00c4890f5be0c34887ed3 \
+    --hash=sha256:c4f61ada6979223013d9ab83a3ed003ded6959eae37d0d685db2c147e9143797 \
+    --hash=sha256:c62d401223f468eb4da32627bffc0c78ed516b03bb8a34a58be54d618b74d472 \
+    --hash=sha256:e42203d8d20dc704604862977b1470a122e4892791fe3ed165f041e4bf447a1b \
+    --hash=sha256:edc16a50f5e1b7a06a2dcc1f2205b0b961074c123ed17ebda726f376a5ab0953 \
+    --hash=sha256:efedba7e13aa9a6c8407c48facfdfa108a5a4128e35f4c68f20c3407e4376aa9 \
+    --hash=sha256:f1dc3eabd8c0232ee8387fbe03e0a62220a6f089e278b1f0aaf5e2d6210741ad \
+    --hash=sha256:f69e4c756ee2686767eb80f94c0125c8b0a0b87ede03eacc5c8ae3b54b99dc46 \
+    --hash=sha256:f7703c2010355dd28f53deb644a05fc30f796bd8598b43f0ba678878780b6e4c \
+    --hash=sha256:fa561138a64f949f3e889eb9ab8c58e1504ab351d6cf55259dc4c248eaa19da6
+sqlean-py==3.45.1 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:0b0deb276d66c5e9377f70c1f8f4fad8fdf4957f632e73a248bd88479f0a8cb5 \
+    --hash=sha256:1c137e6e27c184e1ecf6ca64a02a4ebf65b2c49c91e276da0af01662ef2066b2 \
+    --hash=sha256:1d6ed2cb09fd3412c29e8be0fa30fea4adc592e20cb78685bdf1022db2e7cb19 \
+    --hash=sha256:24f01e1aaec8db4b6e9d05aeb28701fd30666ad8b388c276006e0e7b5f1db236 \
+    --hash=sha256:25fbf0a111856e0384dbc412156e2e688948525c7d8609dc3803512c70130740 \
+    --hash=sha256:2e35e9e250fba29c934414c2319f80ee662cbf480860e79500329aaae8483f35 \
+    --hash=sha256:39d737475a18ecf7ed2226bd111311b5c36208aef961b590f52ded3cdb21ee6b \
+    --hash=sha256:3e9bb153f818f4639e6c4a3905dfd26d6c5d8f2c9e7828a91ef2c17a22dd11c1 \
+    --hash=sha256:4bf57ae5b16bbad14064683a7934c32c361f13e4f2336bc261ac464cc279ae2a \
+    --hash=sha256:5382245b65c985163fadeb71e9acd0ea91c943a66822a3d29613da35ed9696d0 \
+    --hash=sha256:5599b61db1f2775d28ce1ea47a9bc8a3f7205536fae9a54d51aa55421f9368e0 \
+    --hash=sha256:6a1e79990ed800a91db2eb3880fd18bba78e633418bab51f76117e2416664b0e \
+    --hash=sha256:6b80ddf0006aaaf0067a538d311840cdc79371b8fb9be313eca2a1119c62fb3a \
+    --hash=sha256:758a1068a63ebfb940cf1667a319c21fd0f4d29c416ed515098372528a0a84d1 \
+    --hash=sha256:779e6b09979e90ee1efb1ff6bfb148318332c763584725dddc48d590cdb583d2 \
+    --hash=sha256:7be7d2b2a0a6909c2621160208578450a569518324e7e174337066cf4922e4b3 \
+    --hash=sha256:7cec2b75b5abcfd015b9497a064eb8084499f40a3df68b649fdc99998f9349d9 \
+    --hash=sha256:892fbd9bdcbeb7f4b755304d87efbde91c1a181b4614d6ef145a1aa932d08ebf \
+    --hash=sha256:8a0f6dab515db60bac3cebd3a570e1139584ee5013bc2195c1ff035fa4579647 \
+    --hash=sha256:960e2a0abf52a377b7c9397c58ef532407691990a3315a86480b1a2cf8c357e6 \
+    --hash=sha256:9df116c82fdc0c17799763f7d5ddfc00e076553d6889eea3eb282974a484e8f9 \
+    --hash=sha256:9e11f9571efbde1c94177ab363ec465d005cf02be4a325b4cc21d96c15754e72 \
+    --hash=sha256:b1caf8ab0a70fb17895f75acc2600b12cb476511f3b15cee70247178003a7f2c \
+    --hash=sha256:bfa709b6be8bef0f98290f48326622d99f6f816824dc9d93ec33a387857609e5 \
+    --hash=sha256:c2cb3a7e732551d95a7bb58e52f70b7f0db2b1614d1446b6991ef0580c92c401 \
+    --hash=sha256:ca355f1ecfc64749cbfba18c4766d02cc416e96f369eac0fdf1c982f1658e9e2 \
+    --hash=sha256:cdd57c080a55fb43c93c3d6fd6a2f1c37f8338acb8d603a1d701c0d9a113c9bc \
+    --hash=sha256:d053f2550cf2d1a140e0fc9adf6a4349c8e5579c3e377d44c20be90082805f85 \
+    --hash=sha256:eb4efe1676bd12562d103afdccd38c25a61fabdd7e6848a6c7c3a3539892d1c6 \
+    --hash=sha256:f1caeb418399cd9ed4bcf3a43b1a191e4e9a91591efee14f915c54f21d845a28
 starlette==0.37.2 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:6fe59f29268538e5d0d182f2791a479a0c64638e6935d1c6989e63fb2699c6ee \
     --hash=sha256:9af890290133b79fc3db55474ade20f6220a364a0402e0b556e7cd5e1e093823
+strawberry-graphql==0.235.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:68b6e5af8c2b0c071e80a7ce5162028568f152410821a8733ef03d2bc5cca95a \
+    --hash=sha256:86d32bd535bbc8e4c2a0c00aa467119652946d57c6648b53ce36574299bff4b1
 tenacity==8.3.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:3649f6443dbc0d9b01b9d8020a9c4ec7a1ff5f6f3c6c8a036ef371f573fe9185 \
     --hash=sha256:953d4e6ad24357bceffbc9707bc74349aca9d245f68eb65419cf0c249a1949a2
+threadpoolctl==3.5.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107 \
+    --hash=sha256:56c1e26c150397e58c4926da8eeee87533b1e32bef131bd4bf6a2f45f3185467
 tiktoken==0.7.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:03c6c40ff1db0f48a7b4d2dafeae73a5607aacb472fa11f125e7baf9dce73704 \
     --hash=sha256:084cec29713bc9d4189a937f8a35dbdfa785bd1235a34c1124fe2323821ee93f \
@@ -1676,6 +2054,9 @@ typing-extensions==4.11.0 ; python_version >= "3.11" and python_version < "3.12"
 typing-inspect==0.9.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f \
     --hash=sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78
+tzdata==2024.1 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd \
+    --hash=sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252
 ujson==5.10.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:0de4971a89a762398006e844ae394bd46991f7c385d7a6a3b93ba229e6dac17e \
     --hash=sha256:129e39af3a6d85b9c26d5577169c21d53821d8cf68e079060602e861c6e5da1b \
@@ -1758,6 +2139,9 @@ ujson==5.10.0 ; python_version >= "3.11" and python_version < "3.12" \
 ultra-simple-config==0.1.0 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:1f1d9b8f9f7bb9a5d8b725fc353465f270d8a72661ac3c941e08c028d38d7670 \
     --hash=sha256:a0dc9573569cc82791081868308cbc018190bc435d1cd38c2a3670438d93186e
+umap-learn==0.5.6 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:5b3917a862c23ba0fc83bfcd67a7b719dec85b3d9c01fdc7d894cce455df4e03 \
+    --hash=sha256:881cc0c2ee845b790bf0455aa1664f9f68b838d9d0fe12a1291b85c5a559c913
 urllib3==2.2.1 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d \
     --hash=sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19
@@ -1951,6 +2335,77 @@ websockets==12.0 ; python_version >= "3.11" and python_version < "3.12" \
 win32-setctime==1.1.0 ; python_version >= "3.11" and python_version < "3.12" and sys_platform == "win32" \
     --hash=sha256:15cf5750465118d6929ae4de4eb46e8edae9a5634350c01ba582df868e932cb2 \
     --hash=sha256:231db239e959c2fe7eb1d7dc129f11172354f98361c4fa2d6d2d7e278baa8aad
+wrapt==1.16.0 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:0d2691979e93d06a95a26257adb7bfd0c93818e89b1406f5a28f36e0d8c1e1fc \
+    --hash=sha256:14d7dc606219cdd7405133c713f2c218d4252f2a469003f8c46bb92d5d095d81 \
+    --hash=sha256:1a5db485fe2de4403f13fafdc231b0dbae5eca4359232d2efc79025527375b09 \
+    --hash=sha256:1acd723ee2a8826f3d53910255643e33673e1d11db84ce5880675954183ec47e \
+    --hash=sha256:1ca9b6085e4f866bd584fb135a041bfc32cab916e69f714a7d1d397f8c4891ca \
+    --hash=sha256:1dd50a2696ff89f57bd8847647a1c363b687d3d796dc30d4dd4a9d1689a706f0 \
+    --hash=sha256:2076fad65c6736184e77d7d4729b63a6d1ae0b70da4868adeec40989858eb3fb \
+    --hash=sha256:2a88e6010048489cda82b1326889ec075a8c856c2e6a256072b28eaee3ccf487 \
+    --hash=sha256:3ebf019be5c09d400cf7b024aa52b1f3aeebeff51550d007e92c3c1c4afc2a40 \
+    --hash=sha256:418abb18146475c310d7a6dc71143d6f7adec5b004ac9ce08dc7a34e2babdc5c \
+    --hash=sha256:43aa59eadec7890d9958748db829df269f0368521ba6dc68cc172d5d03ed8060 \
+    --hash=sha256:44a2754372e32ab315734c6c73b24351d06e77ffff6ae27d2ecf14cf3d229202 \
+    --hash=sha256:490b0ee15c1a55be9c1bd8609b8cecd60e325f0575fc98f50058eae366e01f41 \
+    --hash=sha256:49aac49dc4782cb04f58986e81ea0b4768e4ff197b57324dcbd7699c5dfb40b9 \
+    --hash=sha256:5eb404d89131ec9b4f748fa5cfb5346802e5ee8836f57d516576e61f304f3b7b \
+    --hash=sha256:5f15814a33e42b04e3de432e573aa557f9f0f56458745c2074952f564c50e664 \
+    --hash=sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d \
+    --hash=sha256:66027d667efe95cc4fa945af59f92c5a02c6f5bb6012bff9e60542c74c75c362 \
+    --hash=sha256:66dfbaa7cfa3eb707bbfcd46dab2bc6207b005cbc9caa2199bcbc81d95071a00 \
+    --hash=sha256:685f568fa5e627e93f3b52fda002c7ed2fa1800b50ce51f6ed1d572d8ab3e7fc \
+    --hash=sha256:6906c4100a8fcbf2fa735f6059214bb13b97f75b1a61777fcf6432121ef12ef1 \
+    --hash=sha256:6a42cd0cfa8ffc1915aef79cb4284f6383d8a3e9dcca70c445dcfdd639d51267 \
+    --hash=sha256:6dcfcffe73710be01d90cae08c3e548d90932d37b39ef83969ae135d36ef3956 \
+    --hash=sha256:6f6eac2360f2d543cc875a0e5efd413b6cbd483cb3ad7ebf888884a6e0d2e966 \
+    --hash=sha256:72554a23c78a8e7aa02abbd699d129eead8b147a23c56e08d08dfc29cfdddca1 \
+    --hash=sha256:73870c364c11f03ed072dda68ff7aea6d2a3a5c3fe250d917a429c7432e15228 \
+    --hash=sha256:73aa7d98215d39b8455f103de64391cb79dfcad601701a3aa0dddacf74911d72 \
+    --hash=sha256:75ea7d0ee2a15733684badb16de6794894ed9c55aa5e9903260922f0482e687d \
+    --hash=sha256:7bd2d7ff69a2cac767fbf7a2b206add2e9a210e57947dd7ce03e25d03d2de292 \
+    --hash=sha256:807cc8543a477ab7422f1120a217054f958a66ef7314f76dd9e77d3f02cdccd0 \
+    --hash=sha256:8e9723528b9f787dc59168369e42ae1c3b0d3fadb2f1a71de14531d321ee05b0 \
+    --hash=sha256:9090c9e676d5236a6948330e83cb89969f433b1943a558968f659ead07cb3b36 \
+    --hash=sha256:9153ed35fc5e4fa3b2fe97bddaa7cbec0ed22412b85bcdaf54aeba92ea37428c \
+    --hash=sha256:9159485323798c8dc530a224bd3ffcf76659319ccc7bbd52e01e73bd0241a0c5 \
+    --hash=sha256:941988b89b4fd6b41c3f0bfb20e92bd23746579736b7343283297c4c8cbae68f \
+    --hash=sha256:94265b00870aa407bd0cbcfd536f17ecde43b94fb8d228560a1e9d3041462d73 \
+    --hash=sha256:98b5e1f498a8ca1858a1cdbffb023bfd954da4e3fa2c0cb5853d40014557248b \
+    --hash=sha256:9b201ae332c3637a42f02d1045e1d0cccfdc41f1f2f801dafbaa7e9b4797bfc2 \
+    --hash=sha256:a0ea261ce52b5952bf669684a251a66df239ec6d441ccb59ec7afa882265d593 \
+    --hash=sha256:a33a747400b94b6d6b8a165e4480264a64a78c8a4c734b62136062e9a248dd39 \
+    --hash=sha256:a452f9ca3e3267cd4d0fcf2edd0d035b1934ac2bd7e0e57ac91ad6b95c0c6389 \
+    --hash=sha256:a86373cf37cd7764f2201b76496aba58a52e76dedfaa698ef9e9688bfd9e41cf \
+    --hash=sha256:ac83a914ebaf589b69f7d0a1277602ff494e21f4c2f743313414378f8f50a4cf \
+    --hash=sha256:aefbc4cb0a54f91af643660a0a150ce2c090d3652cf4052a5397fb2de549cd89 \
+    --hash=sha256:b3646eefa23daeba62643a58aac816945cadc0afaf21800a1421eeba5f6cfb9c \
+    --hash=sha256:b47cfad9e9bbbed2339081f4e346c93ecd7ab504299403320bf85f7f85c7d46c \
+    --hash=sha256:b935ae30c6e7400022b50f8d359c03ed233d45b725cfdd299462f41ee5ffba6f \
+    --hash=sha256:bb2dee3874a500de01c93d5c71415fcaef1d858370d405824783e7a8ef5db440 \
+    --hash=sha256:bc57efac2da352a51cc4658878a68d2b1b67dbe9d33c36cb826ca449d80a8465 \
+    --hash=sha256:bf5703fdeb350e36885f2875d853ce13172ae281c56e509f4e6eca049bdfb136 \
+    --hash=sha256:c31f72b1b6624c9d863fc095da460802f43a7c6868c5dda140f51da24fd47d7b \
+    --hash=sha256:c5cd603b575ebceca7da5a3a251e69561bec509e0b46e4993e1cac402b7247b8 \
+    --hash=sha256:d2efee35b4b0a347e0d99d28e884dfd82797852d62fcd7ebdeee26f3ceb72cf3 \
+    --hash=sha256:d462f28826f4657968ae51d2181a074dfe03c200d6131690b7d65d55b0f360f8 \
+    --hash=sha256:d5e49454f19ef621089e204f862388d29e6e8d8b162efce05208913dde5b9ad6 \
+    --hash=sha256:da4813f751142436b075ed7aa012a8778aa43a99f7b36afe9b742d3ed8bdc95e \
+    --hash=sha256:db2e408d983b0e61e238cf579c09ef7020560441906ca990fe8412153e3b291f \
+    --hash=sha256:db98ad84a55eb09b3c32a96c576476777e87c520a34e2519d3e59c44710c002c \
+    --hash=sha256:dbed418ba5c3dce92619656802cc5355cb679e58d0d89b50f116e4a9d5a9603e \
+    --hash=sha256:dcdba5c86e368442528f7060039eda390cc4091bfd1dca41e8046af7c910dda8 \
+    --hash=sha256:decbfa2f618fa8ed81c95ee18a387ff973143c656ef800c9f24fb7e9c16054e2 \
+    --hash=sha256:e4fdb9275308292e880dcbeb12546df7f3e0f96c6b41197e0cf37d2826359020 \
+    --hash=sha256:eb1b046be06b0fce7249f1d025cd359b4b80fc1c3e24ad9eca33e0dcdb2e4a35 \
+    --hash=sha256:eb6e651000a19c96f452c85132811d25e9264d836951022d6e81df2fff38337d \
+    --hash=sha256:ed867c42c268f876097248e05b6117a65bcd1e63b779e916fe2e33cd6fd0d3c3 \
+    --hash=sha256:edfad1d29c73f9b863ebe7082ae9321374ccb10879eeabc84ba3b69f2579d537 \
+    --hash=sha256:f2058f813d4f2b5e3a9eb2eb3faf8f1d99b81c3e51aeda4b168406443e8ba809 \
+    --hash=sha256:f6b2d0c6703c988d334f297aa5df18c45e97b0af3679bb75059e0e0bd8b1069d \
+    --hash=sha256:f8212564d49c50eb4565e502814f694e240c55551a5f1bc841d4fcaabb0a9b8a \
+    --hash=sha256:ffa565331890b90056c01db69c0fe634a776f8019c143a5ae265f9c6bc4bd6d4
 yarl==1.9.4 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:008d3e808d03ef28542372d01057fd09168419cdc8f848efe2804f894ae03e51 \
     --hash=sha256:03caa9507d3d3c83bca08650678e25364e1843b484f19986a527630ca376ecce \
@@ -2042,3 +2497,6 @@ yarl==1.9.4 ; python_version >= "3.11" and python_version < "3.12" \
     --hash=sha256:ee04010f26d5102399bd17f8df8bc38dc7ccd7701dc77f4a68c5b8d733406958 \
     --hash=sha256:f3bc6af6e2b8f92eced34ef6a96ffb248e863af20ef4fde9448cc8c9b858b749 \
     --hash=sha256:f7d6b36dd2e029b6bcb8a13cf19664c7b8e19ab3a58e0fefbb5b8461447ed5ec
+zipp==3.19.2 ; python_version >= "3.11" and python_version < "3.12" \
+    --hash=sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19 \
+    --hash=sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c