simplyllm 0.1.3

Free AI LLM client with multi-provider fallback and rate limiting

SimplyLLM

OpenAI SDK compatible multi-provider LLM client with automatic fallback and rate limiting.

Quick Start

from simplyllm import SimplyLLM

llm = SimplyLLM()
result = llm.chat([{"role": "user", "content": "hello"}])
print(result.content)

API

# Chat completion (OpenAI format)
result = llm.chat(messages, model=None, temperature=None, max_tokens=None,
                  debug_provider=None, max_wait=None)

# Shortcut for single prompt
result = llm.complete("hello", max_tokens=500)

Parameters

Parameter	Type	Description
messages	list[dict]	OpenAI format message list
model	str	Model override (optional)
temperature	float	0.0-2.0 (optional)
max_tokens	int	Max output tokens (optional)
debug_provider	str	Force provider: "cerebras" "groq" "openrouter" "nvidia_nim" (optional)
max_wait	float	Max wait for capacity in seconds, default 80 (optional)

Result

Field	Type	Description
content	str	Generated text
provider	str	Provider that fulfilled the request
model	str	Model used
latency	float	Time taken in seconds
attempts	list[dict]	Failed attempts before success

Providers

Provider	Model	RPM
cerebras	zai-glm-4.7	5
groq	openai/gpt-oss-120b	30
openrouter	google/gemma-4-31b-it:free	20
nvidia_nim	openai/gpt-oss-120b	40

Server

make up        # start server on :10000
make down      # stop server
make test      # run benchmark