Package index • tidyllm

LLM Message Handling

Functions for creating, managing, and retrieving messages and metadata.

llm_message(): Create or Update Large Language Model Message Object

df_llm_message(): Convert a Data Frame to an LLMMessage Object

get_reply() last_reply(): Retrieve Assistant Reply as Text

get_reply_data() last_reply_data(): Retrieve Assistant Reply as Structured Data

get_user_message() last_user_message(): Retrieve a User Message by Index

get_metadata() last_metadata(): Retrieve Metadata from Assistant Replies

get_logprobs(): Retrieve Log Probabilities from Assistant Replies

rate_limit_info(): Get the current rate limit information for all or a specific API

Tidyllm Main Verbs

Core verbs facilitating interactions with LLMs, including sending messages, generating embeddings, and managing batch requests.

chat(): Chat with a Language Model

embed(): Generate text embeddings

send_batch(): Send a batch of messages to a batch API

check_batch(): Check Batch Processing Status

fetch_batch(): Fetch Results from a Batch API

list_batches(): List all Batch Requests on a Batch API

list_models(): List Available Models for a Provider

Schemata, Tools, and Media Handling

Functions for json_schema, tools and media handling

tidyllm_schema(): Create a JSON Schema for Structured Outputs

field_chr() field_fct() field_dbl() field_lgl(): Define Field Descriptors for JSON Schema

field_object(): Define a nested object field

tidyllm_tool(): Create a Tool Definition for tidyllm

img(): Create an Image Object

API Provider Functions

Functions interfacing with various API providers called from main verbs

openai(): OpenAI Provider Function

claude(): Provider Function for Claude models on the Anthropic API

gemini(): Google Gemini Provider Function

groq(): Groq API Provider Function

mistral(): Mistral Provider Function

ollama(): Ollama API Provider Function

perplexity(): Perplexity Provider Function

deepseek(): Deepseek Provider Function

voyage(): Voyage Provider Function

azure_openai(): Azure OpenAI Endpoint Provider Function

chatgpt(): Alias for the OpenAI Provider Function

OpenAI-Specific Functions

Functions for OpenAI services, including chat interactions, batch processing and embedding generation.

openai_chat(): Send LLM Messages to the OpenAI Chat Completions API

send_openai_batch(): Send a Batch of Messages to OpenAI Batch API

check_openai_batch(): Check Batch Processing Status for OpenAI Batch API

fetch_openai_batch(): Fetch Results for an OpenAI Batch

list_openai_batches(): List OpenAI Batch Requests

cancel_openai_batch(): Cancel an In-Progress OpenAI Batch

openai_embedding(): Generate Embeddings Using OpenAI API

openai_list_models(): List Available Models from the OpenAI API

Claude-Specific Functions

Functions designed for Claude services for chat interactions and batch processing.

claude_chat(): Interact with Claude AI models via the Anthropic API

send_claude_batch(): Send a Batch of Messages to Claude API

check_claude_batch(): Check Batch Processing Status for Claude API

fetch_claude_batch(): Fetch Results for a Claude Batch

list_claude_batches(): List Claude Batch Requests

claude_list_models(): List Available Models from the Anthropic Claude API

claude_upload_file(): Upload a File to Claude API

claude_delete_file(): Delete a File from Claude API

claude_file_metadata(): Retrieve Metadata for a File from Claude API

claude_list_files(): List Files in Claude API

Gemini-Specific Functions

Functions specific to Google Gemini services, including chat, embedding, and file management operations.

gemini_chat(): Send LLMMessage to Gemini API

gemini_embedding(): Generate Embeddings Using the Google Gemini API

gemini_upload_file(): Upload a File to Gemini API

gemini_list_files(): List Files in Gemini API

gemini_file_metadata(): Retrieve Metadata for a File from Gemini API

gemini_delete_file(): Delete a File from Gemini API

send_gemini_batch(): Submit a list of LLMMessage objects to Gemini's batch API

check_gemini_batch(): Check the Status of a Gemini Batch Operation

list_gemini_batches(): List Recent Gemini Batch Operations

fetch_gemini_batch(): Fetch Results for a Gemini Batch

gemini_list_models(): List Available Models from the Google Gemini API

Ollama-Specific Functions

Functions for engaging with Ollama services, including chat, embedding, and model management.

ollama_chat(): Interact with local AI models via the Ollama API

ollama_embedding(): Generate Embeddings Using Ollama API

send_ollama_batch(): Send a Batch of Messages to Ollama API

ollama_download_model(): Download a model from the Ollama API

ollama_delete_model(): Delete a model from the Ollama API

ollama_list_models(): Retrieve and return model information from the Ollama API

Mistral-Specific Functions

Functions for interacting with the Mistral API .

mistral_chat(): Send LLMMessage to Mistral API

mistral_embedding(): Generate Embeddings Using Mistral API

send_mistral_batch(): Send a Batch of Requests to the Mistral API

check_mistral_batch(): Check Batch Processing Status for Mistral Batch API

fetch_mistral_batch(): Fetch Results for an Mistral Batch

list_mistral_batches(): List Mistral Batch Requests

mistral_list_models(): List Available Models from the Mistral API

Perplexity-Specific Functions

Functions for the Perplexity API

perplexity_chat(): Send LLM Messages to the Perplexity Chat API (All Features, No .json Option)

Groq-Specific Functions

Functions for interacting with Groq services, such as chat and transcription.

groq_chat(): Send LLM Messages to the Groq Chat API

groq_transcribe(): Transcribe an Audio File Using Groq transcription API

groq_list_models(): List Available Models from the Groq API

send_groq_batch(): Send a Batch of Messages to the Groq API

check_groq_batch(): Check Batch Processing Status for Groq API

fetch_groq_batch(): Fetch Results for a Groq Batch

list_groq_batches(): List Groq Batch Requests

Azure-Specific Functions

Functions for interacting with the Azure OpenAI API .

azure_openai_chat(): Send LLM Messages to an Azure OpenAI Chat Completions endpoint

azure_openai_embedding(): Generate Embeddings Using OpenAI API on Azure

send_azure_openai_batch(): Send a Batch of Messages to Azure OpenAI Batch API

check_azure_openai_batch(): Check Batch Processing Status for Azure OpenAI Batch API

list_azure_openai_batches(): List Azure OpenAI Batch Requests

fetch_azure_openai_batch(): Fetch Results for an Azure OpenAI Batch

DeepSeek-Specific Functions

Functions for DeepSeek.

deepseek_chat(): Send LLM Messages to the DeepSeek Chat API

VoyageAI-Specific Functions

Functions for VoyageAI Embeddings.

voyage_embedding(): Generate Embeddings Using Voyage AI API

PDF Processing

Processing PDF documents, enabling page-by-page analysis.

pdf_page_batch(): Batch Process PDF into LLM Messages

Internals

Main definition of the LLMMessage object at the core of most tidyllm workflows

LLMMessage(): Large Language Model Message Class