argmax "Hello[WHO]" from "openai/text-ada-001" where len(WHO) < 10

> lmql run hello.lmql

Hello everyone

 valid=True, final=var

❯ cat hello_compiled.py                                 
import lmql
@lmql.compiled_query(output_variables=["WHO"])
async def query(WHO=None,argmax=None,context=None,len=None):
   yield lmql.runtime_support.context_call("set_model", 'openai/text-ada-001')
   yield lmql.runtime_support.context_call("set_decoder", 'argmax', )
   # where
   intm0 = lmql.ops.Lt([lmql.ops.LenOp([lmql.runtime_support.Var('WHO')]), 10])
   yield lmql.runtime_support.context_call("set_where_clause", intm0)
   # prompt
   (yield lmql.runtime_support.interrupt_call('query', f'Hello[WHO]'))
   WHO = (yield lmql.runtime_support.context_call('get_var', 'WHO'))
   yield ('result', (yield lmql.runtime_support.context_call("get_return_value", ())))

argmax "Hello[WHO]" from "openai/gpt-3.5-turbo" where len(WHO) < 10

AssertionError: Chat API models do not support advanced constraining of the output, please use no or less complicated constraints.

sample(temperature=0.8)
   "A list of things not to forget when going to the sea (not travelling): \n"
   for i in range(5):
      "-[THING]"
from
   'chatgpt'
where
   STOPS_AT(THING, "\n")

A list of things not to forget when going to the sea (not travelling): 
- Sunscreen 
- Sunglasses 
- A hat 
- A beach towel 
- Swimwear 

 valid=True, final=fin

import lmql
@lmql.compiled_query(output_variables=["THING"])
async def query(STOPS_AT=None,THING=None,context=None,range=None,sample=None):
   yield lmql.runtime_support.context_call("set_model", 'openai/gpt-3.5-turbo')
   yield lmql.runtime_support.context_call("set_decoder", 'sample', temperature=0.8)
   # where
   yield lmql.runtime_support.context_call("set_where_clause", lmql.ops.StopAtOp([lmql.runtime_support.Var('THING'), '\n']))
   # prompt
   (yield lmql.runtime_support.interrupt_call('query', f'A list of things not to forget when going to the sea (not travelling): \n'))
   for i in range(5):
       (yield lmql.runtime_support.interrupt_call('query', f'-[THING]'))
       THING = (yield lmql.runtime_support.context_call('get_var', 'THING'))
   yield ('result', (yield lmql.runtime_support.context_call("get_return_value", ())))

sample(temperature=0.8)
   "日本がAIで成長するために必要な5つのこと: \n"
   "[LIST]"
from
   'chatgpt'

日本がAIで成長するために必要な5つのこと: 
 1. AIの����������を�����人��の�����
2. AI�����の�����������の�����                                                                                                                                                               
3. ����のデータの����と�����のた��のインフ ラストラクチャーの����