user_query: temperature in Paris Texas
tree_str_mr: [__DG_INFORM__ [__ARG_TASK__ get_forecast ] [__ARG_TEMP__ 71 ] [__ARG_CLOUD_COVERAGE__ scattered clouds ] [__ARG_DATE_TIME__ [__ARG_COLLOQUIAL__ Currently ] ] [__ARG_LOCATION__ [__ARG_CITY__ Paris ] [__ARG_REGION__ Texas ] ] ] [__DG_INFORM__ [__ARG_TASK__ get_forecast ] [__ARG_DATE_TIME_RANGE__ [__ARG_END_TIME__ 08:00 PM ] ] [__ARG_TEMP_SUMMARY__ between 77 and 86 ] [__ARG_LOCATION__ [__ARG_CITY__ Paris ] [__ARG_REGION__ Texas ] ] ] [__DG_INFORM__ [__ARG_TASK__ get_forecast ] [__ARG_CLOUD_COVERAGE__ partly cloudy ] [__ARG_LOCATION__ [__ARG_CITY__ Paris ] [__ARG_REGION__ Texas ] ] [__ARG_DATE_TIME_RANGE__ [__ARG_END_TIME__ 08:00 PM ] ] ]
response: [__DG_INFORM__ [__ARG_DATE_TIME__ [__ARG_COLLOQUIAL__ Currently ] ] it is [__ARG_TEMP__ __ARG_TEMP__ ] with [__ARG_CLOUD_COVERAGE__ scattered clouds ] [__ARG_LOCATION__ in [__ARG_CITY__ __ARG_CITY__ ] , [__ARG_REGION__ __ARG_REGION__ ] ] . ] [__DG_INFORM__ It will become [__ARG_CLOUD_COVERAGE__ partly cloudy ] , ] [__DG_INFORM__ with temperatures [__ARG_TEMP_SUMMARY__ between <number>  and <number>  ] by [__ARG_DATE_TIME_RANGE__ [__ARG_END_TIME__ __ARG_END_TIME__ ] ] ]
target: [__DG_INFORM__ [__ARG_DATE_TIME__ [__ARG_COLLOQUIAL__ Currently ] ] it is [__ARG_TEMP__ __ARG_TEMP__ ] with [__ARG_CLOUD_COVERAGE__ scattered clouds ] [__ARG_LOCATION__ in [__ARG_CITY__ __ARG_CITY__ ] , [__ARG_REGION__ __ARG_REGION__ ] ] . ] [__DG_INFORM__ It will become [__ARG_CLOUD_COVERAGE__ partly cloudy ] , ] [__DG_INFORM__ with temperatures [__ARG_TEMP_SUMMARY__ between <number>  and <number>  ] by [__ARG_DATE_TIME_RANGE__ [__ARG_END_TIME__ __ARG_END_TIME__ ] ] ]
references: [__DG_INFORM__ [__ARG_DATE_TIME__ [__ARG_COLLOQUIAL__ Currently ] ] it is [__ARG_TEMP__ __ARG_TEMP__ ] with [__ARG_CLOUD_COVERAGE__ scattered clouds ] [__ARG_LOCATION__ in [__ARG_CITY__ __ARG_CITY__ ] , [__ARG_REGION__ __ARG_REGION__ ] ] . ] [__DG_INFORM__ It will become [__ARG_CLOUD_COVERAGE__ partly cloudy ] , ] [__DG_INFORM__ with temperatures [__ARG_TEMP_SUMMARY__ between <number>  and <number>  ] by [__ARG_DATE_TIME_RANGE__ [__ARG_END_TIME__ __ARG_END_TIME__ ] ] ]