llmloader 0.1.4

Loads a Langchain LLM by model name as a string.

Loads a Langchain LLM by model name as a string.

Installation

pip install llmloader

Or install from GitHub directly:

pip install git+https://github.com/rbturnbull/llmloader.git

Usage

Load the LLM with the llmloader.load function. e.g.

import llmloader

llm = llmloader.load("gpt-4o")
result = llm.invoke("Write me a haiku about love")

llm = llmloader.load("claude-3-5-sonnet-20240620")
result = llm.invoke("Write me a haiku about love")

llm = llmloader.load("grok-4-latest")
result = llm.invoke("Write me a haiku about love")

llm = llmloader.load("mistral-small-latest")
result = llm.invoke("Write me a haiku about love")

llm = llmloader.load("meta-llama/Llama-3.3-70B-Instruct")
result = llm.invoke("Write me a haiku about love")

CLI

You can test out prompts and models on the command line. Make sure you have your API keys set in your environment or add the key with the --api-key flag.

llmloader "Write me a haiku about love" --model gpt-4o-mini
llmloader "Write me a haiku about love" --model gpt-4o
llmloader "Write me a haiku about love" --model claude-3-5-sonnet-20240620
llmloader "Write me a haiku about love" --model grok-4-latest
llmloader "Write me a haiku about love" --model mistral-small-latest
llmloader "Write me a haiku about love" --model meta-llama/Meta-Llama-3-8B-Instruct
llmloader "Write me a haiku about love" --model meta-llama/Llama-3.3-70B-Instruct
llmloader --help

Credit

Robert Turnbull (Melbourne Data Analytics Platform, University of Melbourne)