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"build_factorial_experiments", "title": "Build Factorial Experiment Design", "topics": [ "build_factorial_experiments" ] }, { "page": "call_llm", "title": "Call an LLM (chat/completions or embeddings) with optional multimodal input", "topics": [ "call_llm", "call_llm.ollama" ] }, { "page": "call_llm_broadcast", "title": "Parallel API calls: Fixed Config, Multiple Messages", "topics": [ "call_llm_broadcast" ] }, { "page": "call_llm_compare", "title": "Parallel API calls: Multiple Configs, Fixed Message", "topics": [ "call_llm_compare" ] }, { "page": "call_llm_par", "title": "Parallel LLM Processing with Tibble-Based Experiments (Core Engine)", "topics": [ "call_llm_par" ] }, { "page": "call_llm_par_structured", "title": "Parallel experiments with structured parsing", "topics": [ "call_llm_par_structured" ] }, { "page": "call_llm_par_tags", "title": "Parallel experiments with tag parsing", "topics": [ "call_llm_par_tags" ] }, { "page": "call_llm_robust", "title": "Robustly Call LLM API (Simple Retry)", "topics": [ "call_llm_robust" ] }, { "page": "call_llm_stream", "title": "Stream a chat completion token by token", "topics": [ "call_llm_stream" ] }, { "page": "call_llm_sweep", "title": "Parallel API calls: Parameter Sweep - Vary One Parameter, Fixed Message", "topics": [ "call_llm_sweep" ] }, { "page": "call_llm_tools", "title": "Call an LLM with tools and run the tool loop", "topics": [ "call_llm_tools" ] }, { "page": "diagnostics", "title": "Machine-readable diagnostics for an LLMR-family result object", "topics": [ "diagnostics" ] }, { "page": "disable_structured_output", "title": "Disable Structured Output (clean provider toggles)", "topics": [ "disable_structured_output" ] }, { "page": "enable_structured_output", "title": "Enable Structured Output (Provider-Agnostic)", "topics": [ "enable_structured_output" ] }, { "page": "ensure_alternating_messages", "title": "Make a message array provider-safe (alternating, user-leading)", "topics": [ "ensure_alternating_messages" ] }, { "page": "get_batched_embeddings", "title": "Generate Embeddings in Batches", "topics": [ "get_batched_embeddings" ] }, { "page": "llm_agreement", "title": "Agreement across replicated LLM annotations", "topics": [ "llm_agreement" ] }, { "page": "llm_api_key_env", "title": "Declare an API key sourced from an environment variable", "topics": [ "llm_api_key_env" ] }, { "page": "llm_batch_cancel", "title": "Cancel a batch job", "topics": [ "llm_batch_cancel" ] }, { "page": "llm_batch_fetch", "title": "Fetch the results of a batch job", "topics": [ "llm_batch_fetch" ] }, { "page": "llm_batch_status", "title": "Check the status of a batch job", "topics": [ "llm_batch_status" ] }, { "page": "llm_batch_submit", "title": "Submit a batch job to a provider's batch API", "topics": [ "llm_batch_submit" ] }, { "page": "llm_chat_session", "title": "Chat Session Object and Methods", "topics": [ "as.data.frame.llm_chat_session", "chat_session", 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[ "llm_parse_structured_col" ] }, { "page": "llm_parse_tags", "title": "Parse XML-like tags emitted by an LLM", "topics": [ "llm_parse_tags" ] }, { "page": "llm_parse_tags_col", "title": "Parse XML-like tag fields from a column", "topics": [ "llm_parse_tags_col" ] }, { "page": "llm_persona_demographic_fields", "title": "Which columns of a persona frame are demographics", "topics": [ "llm_persona_demographic_fields" ] }, { "page": "llm_persona_overview", "title": "A compact overview of a persona frame for display", "topics": [ "llm_persona_overview" ] }, { "page": "llm_persona_split", "title": "Split one persona into labeled demographics and labeled answers", "topics": [ "llm_persona_split" ] }, { "page": "llm_preview", "title": "Preview a tidy LLM call without spending anything", "topics": [ "llm_preview" ] }, { "page": "llm_render_messages", "title": "Render tidy messages without calling any API", "topics": [ "llm_render_messages" ] }, { "page": "llm_replicate", "title": "Run the same 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