user_query: placeholder
tree_str_mr: [__DG_INFORM__ [__ARG_TASK__ get_forecast ] [__ARG_LOCATION__ [__ARG_CITY__ São Paulo ] [__ARG_COUNTRY__ Brazil ] [__ARG_REGION__ São Paulo (state) ] ] [__ARG_TEMP_HIGH_SUMMARY__ low 80s ] ] [__DG_INFORM__ [__ARG_TASK__ get_forecast ] [__ARG_TEMP_LOW_SUMMARY__ mid 50s ] [__ARG_LOCATION__ [__ARG_CITY__ São Paulo ] [__ARG_COUNTRY__ Brazil ] [__ARG_REGION__ São Paulo (state) ] ] ]
response: [__DG_INFORM__ [__ARG_LOCATION__ In [__ARG_CITY__ __ARG_CITY__ ] S [__ARG_REGION__ __ARG_REGION__ ] Br [__ARG_COUNTRY__ __ARG_COUNTRY__ ] ] the highs are in the lo [__ARG_TEMP_HIGH_SUMMARY__ w <number>  a ] ] n [__DG_INFORM__ d the lows are in the mi [__ARG_TEMP_LOW_SUMMARY__ d <number>  ] ]
target: [__DG_INFORM__ [__ARG_LOCATION__ In [__ARG_CITY__ __ARG_CITY__ ] S [__ARG_REGION__ __ARG_REGION__ ] Br [__ARG_COUNTRY__ __ARG_COUNTRY__ ] ] the highs are in the lo [__ARG_TEMP_HIGH_SUMMARY__ w <number>  a ] ] n [__DG_INFORM__ d the lows are in the mi [__ARG_TEMP_LOW_SUMMARY__ d <number>  ] ]
references: [__DG_INFORM__ [__ARG_LOCATION__ In [__ARG_CITY__ __ARG_CITY__ ] S [__ARG_REGION__ __ARG_REGION__ ] Br [__ARG_COUNTRY__ __ARG_COUNTRY__ ] ] the highs are in the lo [__ARG_TEMP_HIGH_SUMMARY__ w <number>  a ] ] n [__DG_INFORM__ d the lows are in the mi [__ARG_TEMP_LOW_SUMMARY__ d <number>  ] ]