Update src/prompts/_pydantic_agent.py

Capitalize title

fix showing total

ordering x axis

is x axis is numeric then sort

fix x order

fix x order

make sure x axis in order when categorical

fix order

add check so that x always in order

update dtype to check

update incident category order

fix color col

fix dataframe

show values on x axis in order and show total on grouped bar chart

enable chart choose option

define color incident map

apply color and order when grouped

add checkbox to view grouped chard horizontally

set incident catefory

show number on top of bars of bar chart, show date range, order incidents and add checkbox to see all labels on x axis

correct spelling of False

Refactor Streamlit app: streamline imports, enhance chart rendering, and improve UI elements

consider incident type as string and apply colors

change questions

migrate to pinecone and show graph color

fix st

handle tabs

Update src/streamlit_app.py

Update src/streamlit_app.py

show charts

Update src/streamlit_app.py

Update src/services/_data_extractor.py

Update src/schemas/_pydantic_agent.py

Update src/controllers/_data_extractor.py

add openai_api_key

Update src/streamlit_app.py

Update src/streamlit_app.py

Update src/streamlit_app.py

Add UI chatbot for user interface. (#1)

Add Streamlit app with Altair visualization and update dependencies

fix: update Response model to use Optional for data field and correct method call in DataExtractorService

fix: rename sql_query to sqlite_query for consistency in SQLQueryExtractor and update references in DataExtractorService and PydanticAgent

Feed tables data into databse table

fix: correct method signature for _model_schema_to_text; update OpenAI model name and fix parameter naming in PydanticAgent; enhance SQL query verification with logging and error handling

feat: update environment configuration for Chroma settings; add seed_vector_data script for processing input data; enhance app startup to include data seeding

Refactor imports and update schema definitions across multiple entity modules

feat: refactor PydanticAgent to accept user_input and message_history as parameters in run method; update DataExtractorService to match new signature

feat: update SQL query execution to use text() for improved safety and consistency

feat: enhance DataExtractorService with table model mapping and schema extraction; integrate PydanticAgent and ChromaClient for data processing