AIGENIE                 Generate, Validate, and Check Items using
                        AI-GENIE
GENIE                   The use of the psychometric reduction component
                        of AIGENIE on your pre-existing item pool
build_item_attributes_from_items
                        Build item.attributes Object from Items Data
                        Frame
chat                    Chat with an LLM via API Calls
check_for_default_APIs
                        Check for users who pasted the example code but
                        didn't add an API key
check_local_llm_setup   Check Local LLM Setup
embedding_matrix_validate_GENIE
                        Validate Embedding Matrix for GENIE
embeddings.gpt5.4.example
                        GPT-5.4 Example Item Embeddings
ensure_aigenie_python   Ensure AI-GENIE Python Environment is Ready
final_community_detection
                        Run Final Community Detection with EGA
get_local_llm           Download a Local LLM Model
install_gpu_support     Install GPU Support for AI-GENIE
install_local_llm_support
                        Install Local LLM Support
item.examples_validate
                        Validate and Clean 'item.examples' Against
                        Cleaned 'items.attributes'
item.type.definitions_validate
                        Validate and Clean 'item.type.definitions'
items.attributes_validate
                        Validate 'items.attributes'
items.gpt5.4.example    GPT-5.4 Example Item Pool
items_validate_GENIE    Validate Items Data Frame for GENIE
iterative_stability_check
                        Iteratively run BootEGA to ensure structural
                        stability of items
list_available_models   List Available Models
local_AIGENIE           Generate and Validate Psychometric Scale Items
                        Using Local Models
local_GENIE             Local Generative Network-Integrated Evaluation
                        (local_GENIE)
local_chat              Chat with a local LLM (no API calls)
main.prompts_validate   Validate and Normalize 'main.prompts'
max.tokens_validate     Check that max.tokens is an integer
plot_comparison         Plot Comparisons
plot_stability_comparison
                        Plot Stability Comparison (network + item
                        stability dotplot, side by side)
print_results           Print Results
python_env_info         Get AI-GENIE Python Environment Info
reduce_redundancy_uva   Reduce Redundancy via Iterative UVA (with
                        Redundant Pair Logging)
reinstall_python_env    Reinstall AI-GENIE Python Environment
resolve_model_name      Resolve and Normalize Model Name
response.options_validate
                        Validate and Clean 'response.options'
run_flags_validate      Check that the 'run.overall' and 'all.together'
                        flags are logically consistent with the number
                        of item types.
run_item_reduction_pipeline
                        Run reduction pipeline for all item types
run_pipeline_for_item_type
                        Run full pipeline for a single item type
select_optimal_embedding
                        Select Optimal Embedding and EGA Model Based on
                        NMI
set_huggingface_token   Set Hugging Face Token
sparsify_embeddings     Sparsify Embedding Matrix
target.N_validate       Validate and Expand 'target.N' for Each Item
                        Attribute
temperature_validate    Validate 'temperature' for Text Generation
top.p_validate          Validate 'top.p' for Text Generation
uva.cut.off_validate    Validate 'uva.cut.off'
validate_booleans       Validate Boolean Arguments
validate_ega_params     Validate EGA Parameters
validate_local_embedding_model
                        Validate Local Embedding Model
validate_local_embedding_params
                        Validate Local Embedding Parameters
validate_local_llm_params
                        Validate Local LLM Generation Parameters
validate_model.path     Validate Local Model Path
validate_prompt.notes   Validate and Normalize 'prompt.notes'
validate_reps           Check that reps is an integer
validate_strings        Validate That Inputs Are Strings
validate_system.role_prompts
                        Checks 'system.role' and 'prompts' for the
                        'chat' function
validate_user_input_AIGENIE
                        Validate All User Inputs for AI-GENIE
validate_user_input_GENIE
                        Validate All User Inputs for GENIE
validate_user_input_local_AIGENIE
                        Validate All User Inputs for Local AI-GENIE
validate_user_input_local_GENIE
                        Validate All User Inputs for Local GENIE
