Tidy Integration of Large Language Models

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Documentation for package ‘tidyllm’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

chatgpt	Call the OpenAI API to interact with ChatGPT or o-reasoning models
claude	Call the Anthropic API to interact with Claude models
df_llm_message	Convert a Data Frame to an LLMMessage Object
generate_callback_function	Generate API-Specific Callback Function for Streaming Responses
groq	Call the Groq API to interact with fast opensource models on Groq
initialize_api_env	Initialize or Retrieve API-specific Environment
last_reply	Retrieve Last Reply from an Assistant
LLMMessage	Large Language Model Message Class
llm_message	Create or Update Large Language Model Message Object
ollama	Send LLMMessage to ollama API
ollama_list_models	Retrieve and return model information from the Ollama API
parse_duration_to_seconds	An internal function to parse the duration strings that OpenAI APIs return for ratelimit resets
perform_api_request	Perform an API request to interact with language models
rate_limit_info	Get the current rate limit information for all or a specific API
update_rate_limit	Update the standard API rate limit info in the hidden .tidyllm_rate_limit_env environment
wait_rate_limit	Wait for ratelimit restore times to ellapse if necessary