Mainly LLM

from mirmod import llm
...
@wob.execute()
async def execute(self):
  messages = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "What's 9+10?"},
    {"role": "assistant", "content": "21"},
    {"role": "user", "content": "Are you sure???"},
  ]

  model = llm("openai/gpt-5.2")
    .raw_response() # whether to return raw dicts or classes

  response = await model.send(messages) # returns a list of new messages

from mirmod.miranda_llm import LLMReasoningEffort

model = llm("openai/gpt-5.2")
  .raw_response() # whether to return raw dicts or classes
  .model_parameters({
    "max_tokens": 100,
    "temperature": 0.7,
    "top_p": 0.9,
    "top_k": 40,
    "parallel_tool_calls": True,
    "reasoning_effort": LLMReasoningEffort.MIMIMAL
  }) # all of these are optional