Man pages for LLMR
Interface for Large Language Model APIs in R
| anes_2024_personas | Example participant profiles derived from ANES 2024 |
| bind_tools | Bind tools to a config (provider-agnostic) |
| build_factorial_experiments | Build Factorial Experiment Design |
| cache_llm_call | Cache LLM API Calls |
| call_llm | Call an LLM (chat/completions or embeddings) with optional... |
| call_llm_broadcast | Parallel API calls: Fixed Config, Multiple Messages |
| call_llm_compare | Parallel API calls: Multiple Configs, Fixed Message |
| call_llm_par | Parallel LLM Processing with Tibble-Based Experiments (Core... |
| call_llm_par_structured | Parallel experiments with structured parsing |
| call_llm_par_tags | Parallel experiments with tag parsing |
| call_llm_robust | Robustly Call LLM API (Simple Retry) |
| call_llm_stream | Stream a chat completion token by token |
| call_llm_sweep | Parallel API calls: Parameter Sweep - Vary One Parameter,... |
| call_llm_tools | Call an LLM with tools and run the tool loop |
| diagnostics | Machine-readable diagnostics for an LLMR-family result object |
| disable_structured_output | Disable Structured Output (clean provider toggles) |
| enable_structured_output | Enable Structured Output (Provider-Agnostic) |
| ensure_alternating_messages | Make a message array provider-safe (alternating,... |
| expand_llm_config | Expand an LLM Config Grid |
| get_batched_embeddings | Generate Embeddings in Batches |
| llm_add_request_hash | Append the audit-log request hash to a parallel-results frame |
| llm_agreement | Agreement across replicated LLM annotations |
| llm_api_key_env | Declare an API key sourced from an environment variable |
| llm_batch_cancel | Cancel a batch job |
| llm_batch_fetch | Fetch the results of a batch job |
| llm_batch_status | Check the status of a batch job |
| llm_batch_submit | Submit a batch job to a provider's batch API |
| llm_chat_session | Chat Session Object and Methods |
| llm_config | Create an LLM configuration (provider-agnostic) |
| llm_cross_design | Cross a data frame with LLM configs |
| llm_failures | List the rows of an LLM run that failed or were truncated |
| llm_fn | Apply an LLM prompt over vectors/data frames |
| llm_fn_structured | Vectorized structured-output LLM |
| llm_fn_tags | Vectorized LLM with tag extraction |
| llm_hash | Content hash for research artifacts |
| llm_judge | LLM-as-a-Judge Evaluation |
| llm_log_enable | Record every LLM call in a local audit log |
| llm_logprobs | Extract token log-probabilities from a response |
| llm_log_read | Read an LLMR audit log into records and a manifest |
| llm_methods_text | Draft a methods-section paragraph from an LLM run |
| llm_mutate | Mutate a data frame with LLM output |
| llm_mutate_structured | Data-frame mutate with structured output |
| llm_mutate_tags | Data-frame mutate with XML-like tag output |
| llm_par_resume | Resume failed parallel LLM calls |
| llm_parse_rowpack_tags | Parse a batched, row-wrapped tag response into per-row field... |
| llm_parse_structured | Parse structured output emitted by an LLM |
| llm_parse_structured_col | Parse structured fields from a column into typed vectors |
| llm_parse_tags | Parse XML-like tags emitted by an LLM |
| llm_parse_tags_col | Parse XML-like tag fields from a column |
| llm_persona_demographic_fields | Which columns of a persona frame are demographics |
| llm_persona_dictionary | The question dictionary attached to a persona data frame |
| llm_persona_overview | A compact overview of a persona frame for display |
| llm_persona_split | Split one persona into labeled demographics and labeled... |
| llm_preview | Preview a tidy LLM call without spending anything |
| llm_render_messages | Render tidy messages without calling any API |
| llm_replicate | Run the same prompt several times per row |
| llm_request_from_log | Rebuild a callable request from a logged record |
| llm_request_hash | Stable request hash for an LLM call |
| llm_response_record | Flatten one LLM response to a provenance row |
| LLMR-package | LLMR: unified LLM workflows for R |
| llmr_response | LLMR Response Object |
| llm_tool | Define a tool the model may call |
| llm_tool_signature | A stable signature for a tool's identity |
| llm_usage | Summarize token usage and outcomes of an LLM run |
| llm_uuid | A short, sortable, process-unique identifier |
| llm_validate_persona_frame | Check that a data frame follows the persona contract |
| llm_validate_structured_col | Validate structured JSON objects against a JSON Schema... |
| log_llm_error | Log LLMR Errors |
| parse_embeddings | Parse Embedding Response into a Numeric Matrix |
| print.llm_config | Print an LLM configuration with the API key masked |
| report | Draft a methods-section report from an LLMR-family result... |
| reset | Reset a stateful object to its initial position |
| reset_llm_parallel | Reset Parallel Environment |
| setup_llm_parallel | Setup Parallel Environment for LLM Processing |
| tool_calls | Extract tool calls from a response |
| transcript_as_messages | Build a role-flipped message array from a multi-speaker... |
