PsyLingLLM_Schema       PsyLingLLM Schema (v1)
adaptive_feedback_experiment
                        Run an Adaptive Feedback Experiment
build_body_pass2_structural
                        Build Pass-2 body
build_registry_entry_from_analysis
                        Build a registry entry from analysis results
build_standardized_input
                        Build standardized Pass-2 headers & body from
                        Pass-1 raw inputs
cat_slowly              Print lines gradually with delay (console-safe)
classify_generation_interface
                        Classify LLM generation interface from URL
                        (robust and version-agnostic)
common_error_blacklist
                        Common provider error-field blacklist (path
                        segments only)
compare_path_line       Compare two optional scalar strings (paths).
                        Return a structured line and a boolean flag.
complete_headers_for_pass2
                        Complete headers minimally for Pass-2 (keeps
                        user values)
conversation_experiment
                        Run a Multi-turn Conversation Experiment
default_keyword_lexicon
                        Default keyword lexicon for ns/st scoring
default_optional_keys   Default optional keys for common LLM providers
                        (explicit removal first)
detect_embedded_think_tag
                        Detect embedded <think> tags in model output
ensure_registry_header
                        Ensure registry directory exists and header is
                        present
explain_alias           Explain how an alias was derived from a model
                        id
extract_pass2_templates
                        Tolerant extraction of Pass-2 templates
                        (headers and body)
extract_process_metrics
                        Extract Standard Process Metrics from RAW Trial
                        Results
extract_token_probabilities
                        Extract Token Probabilities from RAW Trial
                        Results
extract_usage_fields    Extract usage field names from a parsed
                        non-streaming response
factorial_trial_experiment
                        Run Factorial Trial Experiment
                        (registry-driven, assistant-native)
find_placeholder_path   Recursively find the first path to a
                        placeholder string
flatten_json_paths      Flatten a JSON-like object into (path, key,
                        value) rows
format_registration_preview
                        Render a registry entry preview (verbatim from
                        the registry node)
generate_llm_experiment_list
                        Generate LLM Experiment List (CSV→XLSX
                        conversion, UTF-8 safe)
generate_llm_factorial_experiment_list
                        Generate LLM Experiment List for Factorial
                        Design (UTF-8 safe)
get_model_config        Resolve a model name (id or alias) to a
                        registry entry (new registry-aware)
get_registry_entry      Retrieve a registry interface entry (inputs /
                        outputs / streaming)
get_registry_path       Get user registry path (cross-platform,
                        unified)
get_trial_raw           Inspect One Archived RAW Trial Record
has_nonempty_text       Does a value contain any non-empty textual
                        content?
infer_role_mapping_from_body
                        Infer role mapping from a chat-style LLM
                        request body
infer_structure_from_placeholder
                        Infer structure from where '"\${CONTENT}"'
                        lives
inject_optional_params
                        Inject optional params into a body using a
                        whitelist
is_invalid_candidate    Hard filter: blacklist, nullish, booleans,
                        numeric-only, too-short Segment-exact blacklist
                        (compares path segments, not substrings).
is_key                  Utility: check if a path segment is a named key
is_message_object       Check if an object is a message object
list_get_by_path        Get a nested value by a mixed path (character
                        keys and integer indices)
llm_caller              Call an LLM via the registry
llm_register            Register an LLM Endpoint with Pass-2 Validation
load_registry           Load the system LLM registry
make_alias              Generate a compact alias for a model id
make_pass2_probe_inputs
                        Build Pass-2 EFFECTIVE probe inputs (no forced
                        system; structural role inference)
merge_defaults_for_probe
                        Merge default generation parameters into a
                        request body (probe only)
multi_model_experiment
                        Run Trials Across Multiple Models
                        (registry-driven, assistant-native)
normalize_history_messages
                        Normalize conversation history into message
                        objects
normalize_path_key_with_regex
                        Normalize any path spec to a flat key AND, if
                        needed, a regex with wildcard index
normalize_provider_label
                        Normalize a free-form provider label
normalize_type_label    Normalize a free-form type string (strip a
                        leading '@' if present)
probe_llm_streaming     Probe an LLM endpoint (non-stream + streaming,
                        SSE-aware)
register_endpoint_offline
                        Register an LLM endpoint offline (supports
                        reasoning / thinking path)
register_endpoint_to_user_registry
                        Upsert endpoint entry into the user registry
                        (safe merge)
render_pass2_path_consistency_report
                        Render a structured "[Pass-2 Verified Ports]"
                        report section.
save_experiment_results
                        Save Experiment Results to File
score_candidates_ns     Rank non-streaming JSON paths for answer/think
                        (segment-aware, conflict-guarded)
score_candidates_st     Rank streaming (SSE) candidates for
                        answer/think (temporal aggregation,
                        delta-aware, conflict-guarded)
stream_reconstruct_text
                        Reconstruct stream text from raw_json using
                        exact or wildcard-index matching Falls back to
                        regex (for ".." wildcard) if exact match finds
                        nothing.
strip_optionals_from_body
                        Strip optional runtime parameters from a
                        request body
sub_placeholders        Substitute placeholders '"\${API_KEY}"',
                        '"\${CONTENT}"', '"\${ROLE}"' robustly
trial_experiment        Run LLM Trial Experiment
update_progress_bar     Update progress bar for an experiment
validate_experiment_config
                        Validate experiment configuration and resolve
                        API URL
validate_registry_entry
                        Validate structure of a registry entry
validate_registry_schema
                        Validate a PsyLingLLM Registry Document
