├── MTU-Eval
├── benchmark
│ └── a
├── cal_score.py
├── util.py
└── responses
│ ├── S-S_gpt4_response.jsonl
│ └── S-M_gpt4_response.jsonl
├── assets
├── hard.png
├── teaser.png
├── hard-sm_mm.png
├── hard-ss_ms.png
├── statistics.png
├── error-types.png
├── mtubench-logo.png
├── normal-sm_mm.png
├── normal-ss_ms.png
├── scaling-law.png
├── effects-turn-tool.png
└── mtubench-framework.png
├── .gitignore
├── README.md
└── LICENSE
/MTU-Eval/benchmark/a:
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1 |
2 |
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/assets/hard.png:
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https://raw.githubusercontent.com/MTU-Bench-Team/MTU-Bench/HEAD/assets/hard.png
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/assets/teaser.png:
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https://raw.githubusercontent.com/MTU-Bench-Team/MTU-Bench/HEAD/assets/teaser.png
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/assets/hard-sm_mm.png:
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https://raw.githubusercontent.com/MTU-Bench-Team/MTU-Bench/HEAD/assets/hard-sm_mm.png
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/assets/hard-ss_ms.png:
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https://raw.githubusercontent.com/MTU-Bench-Team/MTU-Bench/HEAD/assets/hard-ss_ms.png
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/assets/statistics.png:
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https://raw.githubusercontent.com/MTU-Bench-Team/MTU-Bench/HEAD/assets/statistics.png
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/assets/error-types.png:
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https://raw.githubusercontent.com/MTU-Bench-Team/MTU-Bench/HEAD/assets/error-types.png
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/assets/mtubench-logo.png:
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https://raw.githubusercontent.com/MTU-Bench-Team/MTU-Bench/HEAD/assets/mtubench-logo.png
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/assets/normal-sm_mm.png:
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https://raw.githubusercontent.com/MTU-Bench-Team/MTU-Bench/HEAD/assets/normal-sm_mm.png
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/assets/normal-ss_ms.png:
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https://raw.githubusercontent.com/MTU-Bench-Team/MTU-Bench/HEAD/assets/normal-ss_ms.png
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/assets/scaling-law.png:
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https://raw.githubusercontent.com/MTU-Bench-Team/MTU-Bench/HEAD/assets/scaling-law.png
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/assets/effects-turn-tool.png:
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https://raw.githubusercontent.com/MTU-Bench-Team/MTU-Bench/HEAD/assets/effects-turn-tool.png
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/assets/mtubench-framework.png:
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https://raw.githubusercontent.com/MTU-Bench-Team/MTU-Bench/HEAD/assets/mtubench-framework.png
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/.gitignore:
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1 | # Byte-compiled / optimized / DLL files
2 | __pycache__/
3 | *.py[cod]
4 | *$py.class
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9 | # Distribution / packaging
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163 |
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/README.md:
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1 |
2 |
3 |
4 |
MTU-Bench
5 |
8 | MTU-Bench: A Multi-Granularity Tool-Use Benchmark for Large Language Models
9 |
10 |
11 |
12 |
13 |
14 | 
15 |
16 |
17 | 
18 |
19 |
20 | 
21 |
22 |
23 | 
24 |
25 |
26 | -blue)
27 |
28 |
29 |
30 | 
31 |
32 | ## Abstract
33 |
34 | Large Language Models (LLMs) have displayed massive improvements in reason- ing and decision-making skills and can hold natural conversations with users. Recently, many tool-use benchmark datasets have been proposed. However, existing datasets have the following limitations: (1). Insufficient evaluation scenarios (e.g., only cover limited tool-use scenes). (2). Extensive evaluation costs (e.g., GPT API costs). To address these limitations, in this work, we propose a multi-granularity tool-use benchmark for large language models called MTU-Bench. For the "multi-granularity" property, our MTU-Bench covers five tool usage scenes (i.e., single-turn and single-tool, single-turn and multiple-tool, multiple-turn and single-tool, multiple-turn and multiple-tool, and out-of-distribution tasks). Besides, all evaluation metrics of our MTU-Bench are based on the prediction results and the ground truth without using any GPT or human evaluation metrics. Moreover, our MTU-Bench is collected by transforming existing high-quality datasets to simulate real-world tool usage scenarios, and we also propose an instruction dataset called MTU-Instruct data to enhance the tool-use abilities of existing LLMs. Comprehensive experimental results demonstrate the effectiveness of our MTU-Bench.
35 |
36 |
37 | ## What's New
38 |
39 | - **[2024/10/15]** We initialize the project page for MTU-Bench.
40 |
41 |
42 | ## MTU-Bench Statistics
43 |
44 | 
45 |
46 |
47 | ## MTU-Instruct & MTU-Eval
48 |
49 | 
50 |
51 | MTU-Bench comprises both **MTU-Instruct** for training and **MTU-Eval** for evaluation.
52 | We sample **real-world** user instructions from various existing open-source
53 | dialogue datasets such as MultiWOZ and SGD. After instruction clustering, the detected user intents and slot filling are leveraged to synthesize API calls using GPT-4. The synthesized data includes the thoughts, the actions (i.e., tool names), the action parameters, and the observations (i.e., the generated API execution results). This data forms our MTU-Bench dataset. Following meticulous quality verification by GPT-4 and manual check, we split the MTU-Bench data into training and testing splits, involving **54,798 dialogues** in total, as well as **136 tools**. In our **MTU-Eval**, we propose a series of fine-grained metrics such as **tool selection accuracy**, **parameter selection accuracy**, **success rate**, **turn success rate**, **task process rate**, **tool number accuracy**, **tool order accuracy**, etc., to evaluate the tool-use abilities in a comprehensive manner, where the GPT API costs are **not** needed for evaluation. Moreover, we also pick out a **hard subset** from the test split to include more complex tool-use scenarios such as easily confusable tools, nonsensical or noisy tools, tool parameter updating, etc.
54 |
55 | ## Experimental Results
56 |
57 | ### Results on Normal Set
58 |
59 | 
60 | 
61 |
62 | ### Results on Hard Set
63 | 
64 | 
65 | 
66 |
67 | ### Ablation Studies and Analysis
68 |
69 | 
70 | 
71 | 
72 |
73 |
74 | ## Star History
75 |
76 | [](https://star-history.com/#MTU-Bench-Team/MTU-Bench&Date)
77 |
78 | ## Citation
79 |
80 | Feel free to cite us if you like our work.
81 |
82 | ```bibtex
83 | @inproceedings{Wang2024mtubench,
84 | title = {MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models},
85 | author = {Pei Wang and Yanan Wu and Noah Wang and Jiaheng Liu and Xiaoshuai Song and Z.Y. Peng and Ken Deng and Chenchen Zhang and JiakaiWang and Junran Peng and Ge Zhang and Hangyu Guo and Zhaoxiang Zhang and Wenbo Su and Bo Zheng},
86 | year = {2024},
87 | url = {https://openreview.net/forum?id=6guG2OlXsr&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DICLR.cc%2F2025%2FConference%2FAuthors%23your-submissions)}
88 | }
89 | ```
90 |
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/MTU-Eval/cal_score.py:
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1 | from util import *
2 |
3 | def score(predictions, references, ids, splits) -> dict:
4 | data_all = split_data(predictions, references, ids, splits)
5 | # S-S
6 | tool_correct_cnt, param_correct_cnt = 0, 0
7 | data = data_all['S-S']
8 | for prediction, reference, item_id in zip(data["predictions"], data["references"], data["ids"]):
9 | pre_action, pre_input = get_predict_SIN(prediction)
10 | target_action = list(reference.keys())[0]
11 | target_input = reference[target_action]
12 | target_input = {key: str(value).lower() for key, value in target_input.items()}
13 | pre_input = {key: str(value).lower() for key, value in pre_input.items()}
14 | if pre_action == target_action:
15 | tool_correct_cnt += 1
16 | if compare_dicts(target_input, pre_input):
17 | param_correct_cnt += 1
18 | tool_selection_acc = round(tool_correct_cnt / len(data["predictions"]) * 100, 2)
19 | param_selection_acc = round(param_correct_cnt / len(data["predictions"]) * 100, 2)
20 | scores_s_s = dict(
21 | tool_selection_acc=tool_selection_acc,
22 | param_selection_acc=param_selection_acc,
23 | average_score=round((tool_selection_acc + param_selection_acc) / 2 * 100, 2)
24 | )
25 |
26 | # S-M
27 | data = data_all['S-M']
28 | num_acc_scores, order_acc_scores = [], []
29 | for prediction, reference, item_id in zip(data["predictions"], data["references"], data["ids"]):
30 | target_action = reference
31 | pre_action = get_target_SIN_MUL(prediction)
32 | num_acc_hard, pre_action_new = calculate_num_acc_hard(pre_action, target_action)
33 | order_acc_hard = calculate_order_acc(list(pre_action_new.keys()), list(target_action.keys()))
34 | num_acc_scores.append(num_acc_hard)
35 | order_acc_scores.append(order_acc_hard)
36 | num_acc = round(sum(num_acc_scores) / len(num_acc_scores) * 100, 2)
37 | order_acc = round(sum(order_acc_scores) / len(order_acc_scores) * 100, 2)
38 | scores_s_m = dict(
39 | num_acc=num_acc,
40 | order_acc=order_acc,
41 | average_score=round((num_acc + order_acc) / 2 * 100, 2)
42 | )
43 |
44 | # M-S
45 | data = data_all['M-S']
46 | tool_correct_cnt, param_correct_cnt, is_correct = 0, 0, False
47 | success_dialog = {}
48 | for prediction, reference, item_id in zip(data["predictions"], data["references"], data["ids"]):
49 | diag_id, round_idx = item_id.rsplit("_", 1)[0], item_id.rsplit("_", 1)[1]
50 | pre_action, pre_input = get_predict_SIN(prediction)
51 | target_action = list(reference.keys())[0]
52 | target_input = reference[target_action]
53 | target_input = {key: str(value).lower() for key, value in target_input.items()}
54 | pre_input = {key: str(value).lower() for key, value in pre_input.items()}
55 | if pre_action == target_action:
56 | tool_correct_cnt += 1
57 | if compare_dicts(target_input, pre_input):
58 | is_correct = True
59 | param_correct_cnt += 1
60 | convo_list = success_dialog.get(diag_id, [])
61 | while len(convo_list) <= round_idx:
62 | convo_list.append(None)
63 | if is_correct:
64 | convo_list[round_idx] = 1
65 | else:
66 | convo_list[round_idx] = 0
67 | success_dialog[diag_id] = convo_list
68 |
69 | success_cnt, turn_rates, soft_turn_rates, task_process_rates = 0, [], [], [], []
70 | for id, pres in success_dialog.items():
71 | if sum(pres) == len(pres):
72 | success_cnt += 1
73 |
74 | _, turn_success_rate = calculate_turn_success_rate(pres)
75 | soft_turn_rates.append(turn_success_rate)
76 | turn_rates.append(sum(pres) / len(pres))
77 | task_process_rates.append(count_continuous_ones(pres))
78 |
79 | tool_selection_acc = round(tool_correct_cnt / len(data["predictions"]) * 100, 2)
80 | param_selection_acc = round(param_correct_cnt / len(data["predictions"]) * 100, 2)
81 | turn_rate = round(sum(turn_rates) / len(turn_rates) * 100, 2)
82 | soft_turn_rate = round(sum(soft_turn_rates) / len(soft_turn_rates) * 100, 2)
83 | task_success_rate = round(success_cnt / len(success_dialog) * 100, 2)
84 | task_process_rate = round(sum(task_process_rates) / len(task_process_rates) * 100, 2)
85 |
86 | scores_m_s = dict(
87 | tool_selection_acc=tool_selection_acc,
88 | param_selection_acc=param_selection_acc,
89 | turn_rate=turn_rate,
90 | soft_turn_rate=soft_turn_rate,
91 | task_success_rate=task_success_rate,
92 | task_process_rate=task_process_rate
93 | )
94 |
95 | # M-M
96 | data = data_all['M-M']
97 | success_dialog, num_accs, order_accs = {}, [], []
98 | for prediction, reference, item_id in zip(data["predictions"], data["references"], data["ids"]):
99 | diag_id, round_idx = item_id.rsplit("_", 1)[0], item_id.rsplit("_", 1)[1]
100 |
101 | target_action = reference
102 | pre_action = get_target_SIN_MUL(prediction)
103 | num_acc_hard, pre_action_new = calculate_num_acc_hard(pre_action, target_action)
104 | order_acc_hard = calculate_order_acc(list(pre_action_new.keys()), list(target_action.keys()))
105 | num_accs.append(num_acc_hard)
106 | order_accs.append(order_acc_hard)
107 | is_correct = True if order_acc_hard == 1 and num_acc_hard == 1 else False
108 | convo_list = success_dialog.get(diag_id, [])
109 | while len(convo_list) <= round_idx:
110 | convo_list.append(None)
111 | if is_correct:
112 | convo_list[round_idx] = 1
113 | else:
114 | convo_list[round_idx] = 0
115 | success_dialog[diag_id] = convo_list
116 |
117 | success_cnt, turn_rates, soft_turn_rates, task_process_rates = 0, [], [], [], []
118 | for id, pres in success_dialog.items():
119 | if sum(pres) == len(pres):
120 | success_cnt += 1
121 |
122 | _, turn_success_rate = calculate_turn_success_rate(pres)
123 | soft_turn_rates.append(turn_success_rate)
124 | turn_rates.append(sum(pres) / len(pres))
125 | task_process_rates.append(count_continuous_ones(pres))
126 |
127 | num_acc = round(sum(num_accs) / len(num_accs) * 100, 2)
128 | order_acc = round(sum(order_accs) / len(order_accs) * 100, 2)
129 | turn_rate = round(sum(turn_rates) / len(turn_rates) * 100, 2)
130 | soft_turn_rate = round(sum(soft_turn_rates) / len(soft_turn_rates) * 100, 2)
131 | task_success_rate = round(success_cnt / len(success_dialog) * 100, 2)
132 | task_process_rate = round(sum(task_process_rates) / len(task_process_rates) * 100, 2)
133 |
134 | scores_m_m = dict(
135 | num_acc=num_acc,
136 | order_acc=order_acc,
137 | turn_rate=turn_rate,
138 | soft_turn_rate=soft_turn_rate,
139 | task_success_rate=task_success_rate,
140 | task_process_rate=task_process_rate
141 | )
142 |
143 | return {"S-S": scores_s_s, "S-M": scores_s_m, "M-S": scores_m_s, "M-M": scores_m_m}
144 |
145 |
146 |
147 |
148 |
149 |
150 |
151 |
152 |
153 |
154 |
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/MTU-Eval/util.py:
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1 | import re
2 | import json
3 | import numpy as np
4 | from difflib import SequenceMatcher
5 | import math
6 |
7 | def split_data(predictions, references, ids, splits):
8 | data_all = {split: {'predictions': [], 'references': [], 'ids': []} for split in ['S-S', 'S-M', 'M-S', 'M-M']}
9 |
10 | for prediction, reference, id, split in zip(predictions, references, ids, splits):
11 | data_all[split]['predictions'].append(prediction)
12 | data_all[split]['references'].append(reference)
13 | data_all[split]['ids'].append(id)
14 | return data_all
15 |
16 | def convert_to_json_compatible_string(input_str):
17 | temp_str = input_str.replace("\\'", "__SINGLE_QUOTE__")
18 | temp_str = re.sub(r"^'(.*)'$", r'"\1"', temp_str) # 替换字符串两端的单引号
19 | temp_str = temp_str.replace("'", '"')
20 | temp_str = temp_str.replace('__SINGLE_QUOTE__', "\\'")
21 | temp_str = temp_str.replace("\\'", "\\\\'")
22 | return temp_str
23 |
24 | def get_input(raw_str):
25 | matches = re.findall(r'\{.*?\}', raw_str)
26 | dict_list = []
27 | for match in matches:
28 | dict_list.append(match)
29 | return matches[0]
30 |
31 | def normalize_value(value):
32 | value = value.replace('my ', '')
33 | num_to_word = {'0': 'zero', '1': 'one', '2': 'two', '3': 'three', '4': 'four', '5': 'five',
34 | '6': 'six', '7': 'seven', '8': 'eight', '9': 'nine', '10': 'ten'}
35 | for num, word in num_to_word.items():
36 | value = value.replace(num, word)
37 | value = value.replace('findprovider.', 'bookappointment.')
38 | date_to_day = {'2024-01-04': 'monday', '2024-01-05': 'tuesday', '2024-01-06': 'wednesday',
39 | '2024-01-07': 'thursday', '2024-01-08': 'friday', '2024-01-09': 'saturday',
40 | '2024-01-10': 'sunday'}
41 | for date, day in date_to_day.items():
42 | value = value.replace(date, day).replace('today', day)
43 |
44 | return value
45 |
46 | def compare_dicts(dict1, dict2):
47 | dict1 = {key: value for key, value in dict1.items() if value != 'hotel'}
48 | dict2 = {key: value for key, value in dict2.items() if value != 'hotel'}
49 | if len(dict1) != len(dict2):
50 | return False
51 | for key, value1 in dict1.items():
52 | if key not in dict2:
53 | return False
54 | value2 = dict2[key]
55 | norm_value1 = normalize_value(value1)
56 | norm_value2 = normalize_value(value2)
57 | if norm_value1 not in norm_value2:
58 | return False
59 |
60 | return True
61 |
62 | def get_predict_SIN(response):
63 | response = response.replace('Action', '\nAction').replace('Action Input', '\nAction Input').replace('\n\n',
64 | '\n')
65 | if "\nAction" not in response or "\nAction Input" not in response:
66 | action, input_dict = "", {}
67 | else:
68 | action = response.split("\nAction:")[1].split("\nAction Input:")[0].strip().strip("\n")
69 | action_input = response.split("\nAction Input:")[1].strip()
70 |
71 | action_input = action_input.rsplit("}", 1)[0] + "}"
72 | action_input = action_input.replace("\n", "")
73 | action_input = action_input.replace("True", "true").replace("False", "false")
74 | action_input = get_input(action_input)
75 | try:
76 | input_dict = json.loads(action_input)
77 | except:
78 | try:
79 | input_dict = json.loads(convert_to_json_compatible_string(action_input))
80 | except:
81 | action = ""
82 | input_dict = {}
83 | if 'None' in action:
84 | action, input_dict = "", {}
85 | if ',' in action:
86 | action = action.split(',')[0].strip()
87 | return action, input_dict
88 |
89 | def get_target_SIN_MUL(response):
90 | response = response.replace('Action', '\nAction').replace('Action Input', '\nAction Input').replace('\n\n',
91 | '\n')
92 | action_dict = {}
93 | thought = response.split("\nAction")[0].replace("Thought: ", "")
94 | actions = response.replace("Thought: " + thought, "").split("\nAction: ")[1:]
95 | for action in actions:
96 | if 'The name of the API to be called.' in action:
97 | continue
98 | if "Please provide your" in action:
99 | action = action.split("Please provide your")[0].strip("\n")
100 | action_ = action.strip("\n")
101 | act = action_.split("\nAction Input")[0].strip().strip("\n").replace("\"", "")
102 | input = action_.split("\nAction Input:")[1].strip().replace("\n ", "").split("}")[0] + "}".replace("\n",
103 | "")
104 | input = input.replace("True", "true").replace("False", "false")
105 | try:
106 | input_dict = json.loads(input)
107 | except:
108 | input_dict = {}
109 | action_dict[act] = input_dict
110 | return action_dict
111 |
112 | def calculate_num_acc_hard(pred, gt):
113 | pred = {key.strip(): value for key, value in pred.items()}
114 | gt = {key.strip(): value for key, value in gt.items()}
115 | if pred == {} and gt == {}:
116 | return 1, {}
117 | elif pred == {} or gt == {}:
118 | pred_new = {key: value for key, value in pred.items()}
119 | return 0, pred_new
120 | pred_new = {}
121 | for tool in gt:
122 | if tool not in pred:
123 | continue
124 | gt_input = gt[tool]
125 | pre_input = pred[tool]
126 |
127 | gt_input = {key: str(value).lower() for key, value in gt_input.items()}
128 | pre_input = {key: str(value).lower() for key, value in pre_input.items()}
129 |
130 | if not compare_dicts(pre_input, gt_input):
131 | pred_new[tool + "wrong"] = pred[tool]
132 | else:
133 | pred_new[tool] = pred[tool]
134 |
135 | pred_set = set(list(pred_new.keys()))
136 | gt_set = set(list(gt.keys()))
137 | intersection = pred_set.intersection(gt_set)
138 | union = pred_set.union(gt_set)
139 | num_acc = len(intersection) / len(union) if len(union) > 0 else 0
140 | return num_acc, pred_new
141 |
142 | def calculate_order_acc(Pred, GT):
143 | Pred = [item.strip() for item in Pred]
144 | GT = [item.strip() for item in GT]
145 |
146 | if Pred == GT:
147 | return 1.0
148 | elif Pred == [] or GT == []:
149 | return 0.0
150 | matcher = SequenceMatcher(None, GT, Pred)
151 | match = matcher.find_longest_match(0, len(GT), 0, len(Pred))
152 |
153 | lcr = match.size
154 | i = match.b
155 | pred_len = len(Pred)
156 | t = np.cos((np.pi / 2) * (i / pred_len))
157 | gt_toolnum = len(GT)
158 | order_acc = t * lcr / gt_toolnum
159 | return order_acc
160 |
161 | def calculate_turn_success_rate(results_list):
162 | last_incorrect_idx = -1
163 | turn_success_rates = []
164 |
165 | for j, result in enumerate(results_list):
166 | if result == 0:
167 | turn_success_rate = 0
168 | last_incorrect_idx = j
169 | else:
170 | if last_incorrect_idx == -1:
171 | turn_success_rate = 1
172 | else:
173 | distance = j - last_incorrect_idx
174 | turn_success_rate = 1 - math.exp(-(distance))
175 | turn_success_rates.append(turn_success_rate)
176 | average_turn_success_rate = sum(turn_success_rates) / len(turn_success_rates)
177 |
178 | return turn_success_rates, average_turn_success_rate
179 |
180 | def count_continuous_ones(lst):
181 | count = 0
182 | for num in lst:
183 | if num == 1:
184 | count += 1
185 | else:
186 | break
187 | return count / len(lst)
188 |
189 |
190 |
--------------------------------------------------------------------------------
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/MTU-Eval/responses/S-S_gpt4_response.jsonl:
--------------------------------------------------------------------------------
1 | {"id": "S-S_3", "model": "gpt4", "response": "Thought: User wants to book a restaurant called \"The Slug and Lettuce\" for 5 people at 18:42 on Saturday. The user has provided all the necessary information to make a reservation. Therefore, I will call the 'BookRestaurant' API to fulfill the user's request.\n\nAction: BookRestaurant\nAction Input: {\n \"name\": \"The Slug and Lettuce\",\n \"day\": \"Saturday\",\n \"time\": \"18:42\",\n \"people\": 5\n}"}
2 | {"id": "S-S_5", "model": "gpt4", "response": "Thought: The user wants to find a two-star hotel in New York that has WiFi. I will need to use the 'SearchHotel' API, which allows searching of hotels based on the destination, the number of rooms, and whether WiFi is available.\n\n\nAction: SearchHotel\n\nAction Input: {\"destination\": \"New York\", \"number_of_rooms\": \"1\", \"has_wifi\": \"yes\", \"star_rating\": \"2\"}"}
3 | {"id": "S-S_7", "model": "gpt4", "response": "Thought: The user suspects potential unauthorized access to his account and he wishes to see his recent transactions. To satisfy this request, we need to call the 'get_recent_transactions' API. The required parameter is 'account_number'. However, the user hasn't provided his 'account_number'. Therefore, we can't make the API call at this moment.\n\nAction: None\n\nNote: In a real situation, I would ask the user for the 'account_number' to proceed with this request. In this case, additional user communication is not allowed by the rules so I can't ask for it."}
4 | {"id": "S-S_8", "model": "gpt4", "response": "Thought: The user wants to transfer $500 from their checking to savings account with an account number they have provided. They didn't specify when they want the transaction to be done, so it will be assumed that it's to be done immediately. The API needed for this is 'transfer_funds.'\n\nAction: transfer_funds\nAction Input: \n{\n \"account_number\": \"112233456\",\n \"source_account\": \"checking\",\n \"destination_account\": \"savings\",\n \"amount\": 500,\n \"transfer_speed\": \"now\"\n}"}
5 | {"id": "S-S_1", "model": "gpt4", "response": "Thought: The user intends to review round trip flights from Atlanta to London with specified departure and return dates. Therefore, it is necessary to call the SearchRoundtripFlights API.\n\nAction: SearchRoundtripFlights\n\nAction Input: \n{\n \"origin_city\": \"Atlanta, GA\",\n \"destination_city\": \"London, UK\",\n \"departure_date\": \"2024-01-07\",\n \"return_date\": \"2024-01-09\"\n}"}
6 | {"id": "S-S_2", "model": "gpt4", "response": "Thought: The user's intent is to find a 9-star guesthouse with free parking and WiFi for this evening. Unfortunately, there is no such thing as a 9-star hotel, so I'm considering the highest possible rating for hotels, which is typically 5-star. To answer the user's question, I will need to call the 'searchHotel' API with the required parameters: 'stars', 'type', 'parking', 'internet', and 'day'.\n\nAction: searchHotel\nAction Input: \n{\n \"stars\": \"5\",\n \"type\": \"guesthouse\",\n \"parking\": true,\n \"internet\": true,\n \"area\": \"Tonight\"\n}"}
7 | {"id": "S-S_4", "model": "gpt4", "response": "Thought: The user wants to book economy bus tickets from Sacramento to San Diego for 5 passengers on the 10th of this month. Firstly, I need to check the availability of this itinerary using 'FindBus' API to find buses, then use the 'BuyBusTicket' API to purchase the tickets if available.\nAction: FindBus\nAction Input: {\"from_city\": \"Sacramento\", \"to_city\": \"San Diego\", \"departure_date\": \"2024-01-10\", \"num_passengers\": \"5\", \"category\": \"economy\"}"}
8 | {"id": "S-S_9", "model": "gpt4", "response": "Thought: The user has expressed the desire to apply for a membership. They have provided the required information for the 'apply_for_membership' API which is the city of their residence, in this case, Atlanta. Therefore, I should call the 'apply_for_membership' API with 'Atlanta' as the 'city_of_residence'.\n\nAction: apply_for_membership\nAction Input: {\"city_of_residence\": \"Atlanta\"}"}
9 | {"id": "S-S_14", "model": "gpt4", "response": "Thought: The user is asking for a 4-star hotel recommendation which provides free parking. This request can be fulfilled by using the 'searchHotel' API with 'stars' and 'parking' parameters. \n\nAction: searchHotel\nAction Input: {\"stars\": \"4\", \"parking\": true}"}
10 | {"id": "S-S_6", "model": "gpt4", "response": "Thought: The user wants to find a Chinese restaurant in San Francisco and make a reservation for 2 people at 12 PM on March 5th. After making the reservation, this event should be added to the user's calendar with the title \"Food\". We'll need to call the \"FindRestaurants\" API first to get the restaurant details, then call \"ReserveRestaurant\" to make the reservation, and finally use the \"AddEvent\" API to add this event to the user's calendar.\n\nAction: FindRestaurants\nAction Input: {\"cuisine\": \"Chinese\", \"city\": \"San Francisco\"}\n\nOnce this API returns a result, we will use the information to take the next step, which is to reserve a restaurant and add the event to the calendar using the extracted information.\n\nAction: ReserveRestaurant\nAction Input: {\"restaurant_name\": \"\", \"city\": \"San Francisco\", \"time\": \"12 pm\", \"date\": \"2024-03-05\", \"party_size\": \"2\"}\n\nAfter successfully reserved, we will add an event of the restaurant reservation to the calendar.\n\nAction: AddEvent\nAction Input: {\"event_name\": \"Food\", \"event_date\": \"2024-03-05\", \"event_location\": \", San Francisco\", \"event_time\": \"12 pm\"}"}
11 | {"id": "S-S_17", "model": "gpt4", "response": "Thought: The user is asking for the amount of late fees on a specific library account. This needs a call to the API that fetches the late fees for a library account.\n\nAction: GetLibraryAccountLateFees\nAction Input: {\"accountNumber\": \"1245521\"}"}
12 | {"id": "S-S_12", "model": "gpt4", "response": "Thought: The user is looking for a hotel, specifically one that is moderately priced, located in the center, and has parking and internet availability. To satisfy this request, I can use the 'searchHotel' API and feed it the desired attributes.\n\nAction: searchHotel\nAction Input: {\"priceRange\": \"moderate\", \"area\": \"centre\", \"parking\": true, \"internet\": true}"}
13 | {"id": "S-S_13", "model": "gpt4", "response": "Thought: The user is asking for help to find a hotel. They have specified several conditions indicating their needs. The hotel should have no star rating (zero-star), there should be free wifi available, and the hotel should be able to accommodate 6 people from this coming Monday for the duration of 2 nights. It implies that the user intends to stay from Monday to Wednesday. We have an API to search for hotels that matches the criteria. Therefore, it should be called with the user's specifications.\n\nAction: searchHotel\nAction Input: {\n \"stars\": \"0\",\n \"internet\": true,\n \"people\": \"6\"\n}"}
14 | {"id": "S-S_0", "model": "gpt4", "response": "Thought: The user is asking for two actions. First, to find a moderately priced Brazilian restaurant in San Francisco. Second, to make a reservation for 3 people at 19:30 at the selected restaurant. The user also wants to book a regular cab for 5 people to the restaurant, but we do not have a taxi-booking API available, so we can't fulfil that request. Based on the user request we need to call two APIs in this order: 'FindRestaurants' and 'ReserveRestaurant'.\n\nAction: FindRestaurants\nAction Input: {\"cuisine\": \"Brazilian\", \"city\": \"San Francisco\", \"price_range\": \"moderate\"}\n\nNote: After getting the restaurant details from the 'FindRestaurants' API, we should be able to make reservation using 'ReserveRestaurant' API.\n\nAction: ReserveRestaurant\nAction Input: {\"restaurant_name\": \"Extracted from FindRestaurants API result\", \"city\": \"San Francisco\", \"time\": \"19:30\", \"party_size\": \"3\", \"date\": \"2024-01-04\"} \n\nNote: The restaurant name should be extracted from the result of the previous 'FindRestaurants' API call, and the date is today's date as it wasn't specified by the user. We can't book the taxi though due to a lack of APIs for this service."}
15 | {"id": "S-S_16", "model": "gpt4", "response": "Thought: The user intends to book an appointment with a specified dentist, \"Yvonne Yang\", at a specific time and date, i.e., \"11:45\" on the \"11th\". The user also inquires whether the dental care center offers cosmetic services. To fulfill the user's request, we need to call the 'eee' API to book the appointment, and also check whether the dental center offers cosmetic services. We have enough information to call 'eee' API but do not have location (\"city\") to call 'FindProvider' API since it requires the \"city\" parameter.\n\nAction: eee\nAction Input: \n{\n \"dentist_name\": \"Yvonne Yang\",\n \"appointment_time\": \"11:45\",\n \"appointment_date\": \"11th\"\n}"}
16 | {"id": "S-S_10", "model": "gpt4", "response": "Thought: The user is concerned about the security of their bank account and is requesting recent transactions. This indicates they're trying to identify any unauthorized activities. The 'get_recent_transactions' API can be used to fetch the user's recent bank account transactions. However, for calling this API, we need the 'account_number' which the user has not provided.\n\nSince the user has voiced a concern about potential fraud, it would also be appropriate to use 'freeze_bank_account' API for additional security. But since that also requires mandatory 'account_number' which is missing, the API can't be called.\n\nSo, at this stage, no APIs can be called due to the lack of mandatory 'account_number' information. We need to ask this information from the user."}
17 | {"id": "S-S_11", "model": "gpt4", "response": "Thought: The user is looking for a 2-star hotel in Cambridge with free wifi and free parking, and also wants the address. From given APIs, I can use 'searchHotel' to get the necessary information. It requires optional parameters such as stars, parking, internet, area, and return_info.\n\nAction: searchHotel\nAction Input: {\n \"stars\": \"2\",\n \"parking\": true,\n \"internet\": true,\n \"area\": \"Cambridge\",\n \"return_info\": [\"address\"]\n}"}
18 | {"id": "S-S_15", "model": "gpt4", "response": "Thought: The user is asking for help in finding a cheap guesthouse that provides free Wi-Fi and free parking. I can employ the 'searchHotel' API to fulfil this request. This API has the optional parameter 'type' for the hotel type, 'internet' for determining whether Wi-Fi is available, and 'parking' for checking the availability of parking. The API also has a parameter for 'priceRange' which I assume can be used to find a 'cheap' guesthouse.\n\nAction: searchHotel\nAction Input: \n{\n \"type\": \"guesthouse\",\n \"internet\": true,\n \"parking\": true,\n \"priceRange\": \"cheap\"\n}"}
19 | {"id": "S-S_20", "model": "gpt4", "response": "Thought: The user wants to search for a Gynecologist in San Francisco. This can be done by using the 'ttt' API which is used to find a medical service provider in a specific location and specialty. The required parameters for this API are city and type of specialist, which in this case are 'San Francisco' and 'Gynecologist'.\n\nAction: ttt\nAction Input: {\"city\": \"San Francisco\", \"type\": \"Gynecologist\"}"}
20 | {"id": "S-S_19", "model": "gpt4", "response": "Thought: The user is looking for a shared cab that can accommodate four people to a specific destination, 377 13th Street, for an event on the 11th of this month. This requires calling the 'eee' API which is used to call a taxi.\n\nAction: eee\nAction Input: {\"destination\": \"377 13th Street\", \"number_of_riders\": 4, \"shared_ride\": true}"}
21 | {"id": "S-S_18", "model": "gpt4", "response": "Thought: From the user's request, it seems that they want to rent a car in Paris from the 10th to the 13th of March, with a pickup time at 3 PM. The necessary parameters for calling the 'ccc' API, which provides car rental information, are pickup_city (Paris), pickup_date (10th March), pickup_time (3 PM), and dropoff_date (13th March). There is no explicit vehicle type specified, but \"small car\" can be assumed to fall under a 'Standard' type, as it is the only type mentioned in the optional parameters.\n\nAction: ccc\nAction Input: {\"pickup_city\": \"Paris\", \"pickup_date\": \"2022-03-10\", \"pickup_time\": \"3 PM\", \"dropoff_date\": \"2022-03-13\", \"type\": \"Standard\"}"}
22 | {"id": "S-S_28", "model": "gpt4", "response": "Thought: The user is looking for a one-way flight from New York to Washington with United Airlines. However, based on the provided APIs, there's no available API for searching flights or airlines, thus I cannot meet the user's needs via API call. No action will be performed."}
23 | {"id": "S-S_25", "model": "gpt4", "response": "Thought: The user wants to book a flight from San Diego to Sydney with specific dates and zero stops. However, based on the available APIs I have, none of them cater to flight reservations or queries. I can only reserve or search for hotels and get weather information. Therefore, I cannot fulfill the user's request by calling any provided API."}
24 | {"id": "S-S_23", "model": "gpt4", "response": "Thought: The user is asking to book a flight from New York to Chicago on Delta Airlines. They also have specified the departure and return dates. However, there's no API available to book a flight or any related action. Also, even if there was a flight booking API, given details such as the airline company and flight specifics like it being 'non-refundable', 'one-stop' and 'Economy class' aren't included in the available parameters. So, no action can be taken due to the lack of an API corresponding to the user's request."}
25 | {"id": "S-S_22", "model": "gpt4", "response": "Thought: The user wants to find a furnished, pet-friendly 3-bedroom apartment in Vacaville and visit it on March 12th. Firstly, we need to find the apartment. To do this, we can call the 'aaa' API, specifying the 'area' as \"Vacaville\", the 'number_of_beds' as \"3\", 'furnished' as \"true\", and 'pets_allowed' as \"true\". After getting the results from 'aaa' API, we can use the 'property_name' to schedule a visit using the 'ScheduleVisit' API, with the 'visit_date' as \"March 12th\".\n\nAction: aaa\nAction Input: {\"area\": \"Vacaville\", \"number_of_beds\": \"3\", \"furnished\": \"true\", \"pets_allowed\": \"true\"}\n\nPlease note that, scheduling the visit needs to be handled after getting the response from the 'aaa' API call which provides the needed 'property_name'. It will be handled in a next interaction providing the API call 'ScheduleVisit' with the proper inputs."}
26 | {"id": "S-S_27", "model": "gpt4", "response": "Thought: The user wants to find round trip flights from Seattle to LA, leaving on March 8th and returning on 10th. However, we don't have any available APIs to find flights or book travel tickets. The APIs we have can only make table reservations at a restaurant, find restaurants, and book a cab ride, none of which can meet the user's current needs. Therefore, no API needs to be called at this point."}
27 | {"id": "S-S_26", "model": "gpt4", "response": "Thought: The user wants to find a round trip flight from Portland to LA. They have provided sufficient information: origin (Portland), destination (LA), departure date (March 10th) and return date (March 13th). The 'SearchRoundtripFlights' API can achieve this.\n\nAction: SearchRoundtripFlights\nAction Input: \n{\n \"origin_city\": \"Portland\",\n \"destination_city\": \"LA\",\n \"departure_date\": \"2024-03-10\",\n \"return_date\": \"2024-03-13\"\n}"}
28 | {"id": "S-S_29", "model": "gpt4", "response": "Thought: The user is intending to rent a car in Kuala Lumpur from the 3rd to the 7th of March, with a pick-up time at 3 PM. However, I don't have a direct API to interact with a car rental service. All the APIs provided are targeted towards movie tickets, movie search, movie show times, restaurant reservations, and restaurant search, but none of them can handle requests for car rentals. Therefore, no API call should be made in this case."}
29 | {"id": "S-S_32", "model": "gpt4", "response": "Thought: The user is asking to play the music of the Metalcore band \"Our Last Night\" on the TV. However, based on the APIs given (\"GetAlarms\", \"AddAlarm\"), there is no API that can perform the task requested by the user, which is to play music. Therefore, I cannot make a call to any API in this situation."}
30 | {"id": "S-S_33", "model": "gpt4", "response": "Thought: The user asks for playing a song from \"The Martin Garrix Experience\" on the kitchen speaker. But there is no appropriate API to complete this action from the provided ones. The preference appears to be more in line with a smart home or music streaming API, none of which are currently accessible based on the provided details. As a result, no action can be taken at this time."}
31 | {"id": "S-S_34", "model": "gpt4", "response": "Thought: The user wants to rent a car in Seattle, WA from Sunday evening until the following Monday. However, there is no API available that could support car rental services according to the provided list of APIs. Even if there was one, we still need additional information such as car type and possibly payment method. However, as the current APIs don't provide such means, the assistant can't fulfill the users request directly.\n"}
32 | {"id": "S-S_31", "model": "gpt4", "response": "Thought: The user's request is to find some music events in London along with their dates. However, the provided APIs are only related to movies and do not provide information about events. Thus, it's not possible to fulfill the user's requirement using the given APIs. No API call is needed in this case."}
33 | {"id": "S-S_37", "model": "gpt4", "response": "Thought: The user wants to find and play Pop music on the kitchen device. However, there is no API available that can provide the service to search and play music. Therefore, no API call can be made in this situation."}
34 | {"id": "S-S_30", "model": "gpt4", "response": "Thought: The user wants to find a sports or game event in Vancouver, BC on the 12th and also wishes to purchase a ticket. However, there are no APIs available to satisfy the user's request. There's neither an API for searching for events nor for purchasing event tickets. The given APIs \"GetTrainTickets\" and \"FindTrains\" are not relevant to the user's request as the user didn't mention anything about traveling or train tickets. Therefore, no API call can be made."}
35 | {"id": "S-S_24", "model": "gpt4", "response": "Thought: The user is asking to book a roundtrip flight from Portland to Los Angeles, departing on the 6th and returning on the 10th. The user has requested for flights from United Airlines specifically. To facilitate this inquiry, I will access and utilize the 'SearchRoundtripFlights' API. Based on the information provided, I will format the input parameters so they correspond to the required API parameters. I will use 'PDX' for Portland, Oregon, and 'LAX' for Los Angeles, California, which are the official airport codes. For 'departure_date' and 'return_date', I will use '2024-01-06' and '2024-01-10', respectively, since today is January 4, 2024. The user has specified 'United Airlines', so it will be used for 'airlines', we would assume one ticket, so 'number_of_tickets' is '1'. The seating_class was not specified, we may assume 'Economy'.\n\nAction: SearchRoundtripFlights\nAction Input: {\"origin_airport\": \"PDX\", \"destination_airport\": \"LAX\", \"departure_date\": \"2024-01-06\", \"return_date\": \"2024-01-10\", \"seating_class\": \"Economy\", \"number_of_tickets\": \"1\", \"airlines\": \"United Airlines\"}"}
36 | {"id": "S-S_35", "model": "gpt4", "response": "Thought: The user has asked to find and play a song named \"Man Down\" by Rihanna on their kitchen speaker. However, the provided APIs do not provide functionality to search for a song or to play songs on a speaker. The available APIs allow for booking an appointment with a hair stylist and searching for a hair stylist, which is not what the user asked for. Therefore, I cannot satisfy the user's need with the available APIs."}
37 | {"id": "S-S_38", "model": "gpt4", "response": "Thought: The user's request is related to playing a Pop song on their bedroom speaker. However, the APIs provided don't have any functionality for streaming songs or controlling smart home devices. Hence, it's impossible to satisfy the user's request with the given APIs. \n\nTherefore, no API call is required."}
38 | {"id": "S-S_39", "model": "gpt4", "response": "Thought: The user wants to find a sports event in Atlanta, GA and intends to buy tickets. However, the provided APIs do not allow for the search of sports events or for the purchase of tickets. As such, although the user's request is clear, it cannot be satisfied with the available tools. An API call is not feasible in this situation."}
39 | {"id": "S-S_41", "model": "gpt4", "response": "Thought: The user wants to find movies in the Musical genre to watch online. However, we don't have an available API that can be used to recommend movies or any kind of video content. APIs available focus on music recommendations and weather. In this case, no API is needed or able to fulfill the user's request. \n\nTherefore, no action should be taken to call an API."}
40 | {"id": "S-S_42", "model": "gpt4", "response": "Thought: The user wants to find a country music event in Chicago. However, we don't have an API that can fulfill this request as the provided APIs are related to movie services only, and do not include event information or location-based searches. No API will be called in this case."}
41 | {"id": "S-S_36", "model": "gpt4", "response": "Thought: The user is asking to find and play a romance movie with subtitles and wants to know the director of the movie. To fulfill this requirement, an API such as 'SearchMovie' or 'PlayMovie' is needed. The API should be able to search for a romance movie, check for subtitles and provide information about the director. Currently, such an API isn't provided in the available APIs list. Therefore, I can't fulfill the user's request by making an API call.\n\nSince there is no API call to be made, we simply acknowledge the user's input and inform them that we currently cannot meet their request."}
42 | {"id": "S-S_44", "model": "gpt4", "response": "Thought: The user wants to book plane tickets from Kuala Lumpur to Las Vegas for March 4th. However, none of the APIs provided have the capability to book plane tickets or access flight data, hence it is impossible to satisfy the user's request with the given APIs. \n\nSince we can't call any API to perform the desired operation, no action will be taken."}
43 | {"id": "S-S_40", "model": "gpt4", "response": "Thought: The user is asking for a drama movie with subtitles directed by Claire Denis. However, the APIs available - 'PlayMedia', 'LookupMusic', and 'GetWeather' - do not align with the user's request. The 'PlayMedia' API is related to playing music, the 'LookupMusic' API is for discovering songs, and the 'GetWeather' API is for getting weather information. There's no API that can be used to find a movie directed by a specific director or find a movie with subtitles or find a drama movie. Therefore, an API call cannot be made to meet the user's request.\n\nNo action is taken due to lack of relevant APIs."}
44 | {"id": "S-S_43", "model": "gpt4", "response": "Thought: The user wants to play a specific song on their kitchen speaker. However, the provided APIs - 'FindHomeByArea' and 'ScheduleVisit' have nothing to do with playing music or controlling a speaker. The desired action doesn't fit with the options provided.\n\nBased on this, there is no need to call an API as none of the provided APIs can fulfill the user's request."}
45 | {"id": "S-S_48", "model": "gpt4", "response": "Thought: The user wants to find a one-way flight from San Francisco to Los Angeles for two people on March 2nd. However, based on the available APIs, there are no APIs that can find flights or have relative parameters such as departure, destination, date or number of people. These parameters are not in the required or optional parameters for any of the APIs. So no API can fulfill the user's request."}
46 | {"id": "S-S_46", "model": "gpt4", "response": "Thought: The user's request is for a dentist appointment in San Jose this Saturday at 2:30 pm, however, no available API supports medical or dental appointment bookings. Therefore, this user request cannot be fulfilled using the available APIs. We could suggest the user to use other services or contact their local dental office to get an appointment."}
47 | {"id": "S-S_47", "model": "gpt4", "response": "Thought: The user is asking for help in finding a 1-bedroom apartment in San Francisco that allows pets. However, there is no API available in the provided list that can satisfy the user's request. The existing APIs only cover restaurant reservations, restaurant search, stylist search, and stylist appointment booking. \n\nTherefore, in this case, no API call is warranted and the action to be performed is none."}
48 | {"id": "S-S_45", "model": "gpt4", "response": "Thought: The user is asking for assistance in finding a dentist in San Jose who offers cosmetic services. However, the provided APIs does not offer any functionality that could be used to fulfill this request. The 'FindHomeByArea' API is for finding a property in a given city, the 'ScheduleVisit' API is for scheduling a visit to a property, the 'ShareLocation' API is meant for sharing location data, and the 'GetRide' API is for booking a ride. None of these can be used to find a dentist offering specific services in a specific location. Therefore, no action can be taken."}
49 | {"id": "S-S_50", "model": "gpt4", "response": "Thought: The user is asking for locating songs by the artist Grimes, specifically from the Visions album, and playing the song Oblivion on the kitchen speaker. However, the provided APIs are related to movie tickets and show times, none of which can accomplish the user's request about playing songs. Therefore, no available API can be used to satisfy the user's request."}
50 | {"id": "S-S_51", "model": "gpt4", "response": "Thought: The user wants to know the amount of late fees they owe. This requires calling the 'get_late_fees' API, which requires the 'library_ID'. However, the user hasn't provided this information.\n\nNo action is required since the user hasn't provided all mandatory information to call an API. \n\nPlease provide your library ID so we can determine your late fee status."}
51 | {"id": "S-S_21", "model": "gpt4", "response": "Thought: The user is asking for two separate tasks. First, they want to book a bus ticket from Las Vegas to Sacramento on a specific date. For this, we need to use the 'BuyBusTicket' API. The required parameters can be obtained directly from the user's speech. Secondly, the user wants to find a hotel in Sacramento that doesn't allow pets. To perform this function, we need to call the 'SearchHotel' API. The 'location' parameter can be captured from the user's input, the 'pets_welcome' parameter will be set to 'False'.\n\nAction: BuyBusTicket\nAction Input: {\"from_location\": \"Las Vegas\", \"to_location\": \"Sacramento\", \"leaving_date\": \"2023-11-10\", \"leaving_time\": \"\", \"travelers\": \"1\"}\n\nAction: SearchHotel\nAction Input: {\"location\": \"Sacramento\", \"number_of_rooms\": \"1\", \"pets_welcome\": \"False\"}"}
52 | {"id": "S-S_49", "model": "gpt4", "response": "Thought: The user is asking to find a music concert happening in San Francisco this upcoming weekend. However, the APIs provided do not have an option to search for events or concerts. In this case, we can only inform the user that we can't fulfil this request based on the available APIs."}
53 | {"id": "S-S_52", "model": "gpt4", "response": "Thought: The user wants to know the availability of the book \"A Song of Fire and Ice\" and other books in the series at the library. I need to call the 'get_book_status' API for each book the user is interested in. However, the user has not specified the titles of the other books in the series, so I'll only be able to check the status of \"A Song of Fire and Ice\".\n\nAction: get_book_status\nAction Input: {\"book_title\": \"A Song of Fire and Ice\"}"}
54 | {"id": "S-S_53", "model": "gpt4", "response": "Thought: The user wants to find a restaurant that serves Indian food in the \"centre\". This could refer to the city centre, or a precise area called \"centre\", we can't be completely sure. However, this request can be met by calling the 'SearchRestaurant' API and inputting the area as \"centre\" and the food type as \"Indian\".\n\nAction: SearchRestaurant\nAction Input: {\"area\": \"centre\", \"food\": \"Indian\"}"}
55 | {"id": "S-S_54", "model": "gpt4", "response": "Thought: The user is asking to find a guesthouse or hotel in the centre of a city that offers free parking and internet. Once found, the user wants to book this hotel for 3 people, for a stay of 2 nights which will start on Wednesday. I need to use both the 'searchHotel' API to find an appropriate hotel and then the 'bookHotel' API to book it.\n\nAction: searchHotel\nAction Input: {\"type\": \"guesthouse\", \"parking\": true, \"internet\": true, \"area\": \"centre\"}\n\nThought: Once the searchHotel API returns a suitable option, I will use the 'bookHotel' API to book the hotel. However, I do not know the name of the hotel yet, so I cannot call the API at this moment. After fetching the hotel details, I would call the 'bookHotel' API with the inputs being {\"day\": \"Wednesday\", \"name\": \"hotelName\", \"stay\": \"2 nights\", \"people\": \"3\"}."}
56 | {"id": "S-S_55", "model": "gpt4", "response": "Thought: The user intends to book a train from Cambridge to London Liverpool Street and wants to leave after 13:45 on Thursday. To fulfill this request, I firstly need to search for available trains based on the given criteria using the \"SearchTrain\" API, and then, providing the user confirms, I can use the \"BookTrain\" API to complete the booking. However, since the number of passengers is not provided, I cannot book the train at this moment. Therefore, I will only call the \"SearchTrain\" API for now.\n\nAction: SearchTrain\nAction Input: {\n \"departure\": \"Cambridge\",\n \"destination\": \"London Liverpool Street\",\n \"leaveAt\": \"13:45\",\n \"day\": \"Thursday\"\n}"}
57 | {"id": "S-S_58", "model": "gpt4", "response": "Thought: The user is asking for details about a theatre located in the centre of town. This kind of request can be handled by the 'searchAttraction' API by specifying the type as 'theatre' and the area as 'centre of town'. As per the input, 'address', 'phone number', and 'entrance fee' should be the return_info.\n\nAction: searchAttraction\nAction Input: \n{\n \"type\": \"theatre\",\n \"area\": \"centre of town\",\n \"return_info\": [\"address\", \"phone number\", \"entrance fee\"]\n}"}
58 | {"id": "S-S_57", "model": "gpt4", "response": "Thought: The user wants to find a train from Cambridge to Norwich departing on a Saturday after 13:00. The \"SearchTrain\" API can be used to serve this purpose. The API requires mandatory fields 'departure', 'destination', and 'day' to be filled, while 'leaveAt' is optional but appropriate in this case.\n\nAction: SearchTrain\nAction Input: {\"departure\": \"Cambridge\", \"destination\": \"Norwich\", \"day\": \"Saturday\", \"leaveAt\": \"13:00\"}"}
59 | {"id": "S-S_56", "model": "gpt4", "response": "Thought: The user wants to book 6 tickets on a train from Cambridge to London Kings Cross on Wednesday at 10:45. Before booking the tickets, we need to find an available train that matches the user's requirements. \n\nFirstly, we need to call the SearchTrain API to find a train that leaves Cambridge at around 10:45 on Wednesday and arrives at London Kings Cross, then we have to call the BookTrain API to make a booking for 6 people and request the reference number in return. \n\nHowever, we cannot call BookTrain API directly because we don't have the 'trainID' yet, which is required by BookTrain. 'trainID' can be obtained from the response of SearchTrain API.\n\nAction: SearchTrain\nAction Input: {\n \"departure\": \"Cambridge\",\n \"destination\": \"London Kings Cross\",\n \"day\": \"Wednesday\",\n \"leaveAt\": \"10:45\",\n \"return_info\": [\"all\"]\n}"}
60 | {"id": "S-S_63", "model": "gpt4", "response": "Thought: The user wants to find an expensive Indian restaurant located on the west side of town and needs the postcode of the restaurant. To address this, we would need to call the 'SearchRestaurant' API with the appropriate parameters, which include 'area', 'food', and 'priceRange'.\n\nAction: SearchRestaurant\nAction Input: {\n \"area\": \"west side of town\",\n \"food\": \"Indian\",\n \"priceRange\": \"expensive\",\n \"return_info\": [\"postcode\"]\n}"}
61 | {"id": "S-S_65", "model": "gpt4", "response": "Thought: The user is asking for specific details about a restaurant named \"Pizza Express Fen Ditton\". This information can be fetched by calling the 'SearchRestaurant' API where the 'name' parameter will be 'Pizza Express Fen Ditton' and 'return_info' will include 'address', 'phone', and 'food'. No user-provided parameters are missing to make this API call.\n\nAction: SearchRestaurant\nAction Input: {\n \"name\": \"Pizza Express Fen Ditton\",\n \"return_info\": [\"address\", \"phone\", \"food\"]\n}"}
62 | {"id": "S-S_64", "model": "gpt4", "response": "Thought: The user is asking to search for a guesthouse of a certain specification. This corresponds with the 'searchHotel' API on the list I can call. Given the input, the user has provided information for the 'stars', 'type', 'parking', and 'area', which I can input into the API directly. They're also asking for the price range and postcode, which I can specify as the 'return_info'.\n\nAction: searchHotel\nAction Input: {\n \"stars\": \"4\",\n \"type\": \"guesthouse\",\n \"parking\": true,\n \"area\": \"centre\",\n \"return_info\": [\"priceRange\", \"postcode\"]\n}"}
63 | {"id": "S-S_59", "model": "gpt4", "response": "Thought: The user is asking to search for a 3-star, cheap hotel for a stay of 4 nights for 6 people starting from Thursday night. So, to respond to this user query, we need to make use of the 'searchHotel' API. However, this API cannot directly fulfill the user's requirement of 4-night stay and for 6 people, because these parameters aren't available in this API. Therefore, we can only use this API to search for 3-star, cheap hotels without considering the duration of stay and number of people.\n\nAction: searchHotel\nAction Input: {\"stars\": \"3\", \"priceRange\": \"cheap\"}"}
64 | {"id": "S-S_60", "model": "gpt4", "response": "Thought: The user wants information about a specific hotel called Hamilton Lodge, specifically the type, postcode and star rating. This can be accomplished by calling the 'searchHotel' API with the hotel's name. However, the API only returns the type and star rating - it doesn't provide information about the postcode. We'll add the 'type' and 'star rating' fields to the 'return_info' parameter to ensure these fields are part of the returned results.\n\nAction: searchHotel\nAction Input: {\"name\": \"Hamilton Lodge\", \"return_info\": [\"type\", \"stars\"]}"}
65 | {"id": "S-S_66", "model": "gpt4", "response": "Thought: The user wants to find a 4-star hotel with free parking that is located on the east side of town and is cheap. I can use the 'searchHotel' API to fetch information for the user.\n\nAction: searchHotel\nAction Input: {\"stars\": \"4\", \"parking\": true, \"area\": \"east side of town\", \"priceRange\": \"cheap\"}"}
66 | {"id": "S-S_61", "model": "gpt4", "response": "Thought: From the user request, it can be determined that two intents are present. They are interested in train information from Stansted Airport to Cambridge, specifically after 11:00 on Sunday, as well as information for a non-free college in the west area of Cambridge. We can use the 'SearchTrain' API to provide the train information, while the 'searchAttraction' API can provide information about the college in Cambridge.\n\nAction: SearchTrain\nAction Input: {\n \"departure\": \"Stansted Airport\",\n \"destination\": \"Cambridge\",\n \"day\": \"Sunday\",\n \"leaveAt\": \"11:00\",\n \"return_info\": [\"Ticket\"]\n}\n\nAction: searchAttraction\nAction Input: {\n \"type\": \"college\",\n \"area\": \"west Cambridge\",\n \"return_info\": [\"entrance fee\", \"phone number\"]\n}"}
67 | {"id": "S-S_69", "model": "gpt4", "response": "Thought: The user wants to find a train from Kings Lynn to Cambridge on Wednesday at a specific time, 11:45. This is a task for the 'SearchTrain' API, which needs departure, destination, and departure time (leaveAt) inputs and, in this case, should return all information about suitable trains.\n\nAction: SearchTrain\nAction Input: {\"departure\": \"Kings Lynn\", \"destination\": \"Cambridge\", \"leaveAt\": \"11:45\", \"day\": \"Wednesday\", \"return_info\": [\"all\"]}"}
68 | {"id": "S-S_72", "model": "gpt4", "response": "Thought: The user is looking for a general practitioner in Oakland. They are also interested in practitioners with a high rating. We can use the 'FindProvider' API with the city as 'Oakland' and type as 'General Practitioner' to get this information. \n\nAction: FindProvider\nAction Input: {\"city\": \"Oakland\", \"type\": \"General Practitioner\"}"}
69 | {"id": "S-S_68", "model": "gpt4", "response": "Thought: The user wants to find an \"expensive\" guesthouse in the east with free wifi. The 'searchHotel' API will be the best fit to get this information. The term \"guesthouse\" can be interpreted as the type of the hotel. The area can be specified as \"east\". Since the user mentioned \"expensive\", I will set the 'priceRange' as \"high\". Also, they specifically want wifi so 'internet' will be set to true.\n\nAction: searchHotel\nAction Input: {\n \"type\": \"guesthouse\",\n \"area\": \"east\",\n \"internet\": true,\n \"priceRange\": \"high\"\n}"}
70 | {"id": "S-S_71", "model": "gpt4", "response": "Thought: The user is asking for information on a specific hotel (Bridge Guest House) and wants to know if they offer free parking. The correct API to use in this situation would be the 'searchHotel' API. We need to provide the 'name' parameter (Bridge Guest House) and 'return_info' parameter (parking) to get this information.\n\nAction: searchHotel\nAction Input: {\n \"name\": \"Bridge Guest House\",\n \"return_info\": [\"parking\"]\n}"}
71 | {"id": "S-S_67", "model": "gpt4", "response": "Thought: The user wants to find a theatre in the city centre and also wants information such as its address, postcode, and phone number. We can use the 'searchAttraction' API to fulfill this request by specifying the 'type' as 'theatre' and the 'area' as 'city centre'. We need to set 'return_info' to include 'address', 'postcode', and 'phone number'.\n\nAction: searchAttraction\nAction Input: {\"type\": \"theatre\", \"area\": \"city centre\", \"return_info\": [\"address\", \"postcode\", \"phone number\"]}"}
72 | {"id": "S-S_70", "model": "gpt4", "response": "Thought: The user requests two distinct things. First, they would like to find a train from Cambridge to Stevenage that arrives by 16:45 on Wednesday. This can be satisfied by calling the 'SearchTrain' API. Second, the user requests information regarding the Fitzwilliam Museum, specifically its phone number and address. This can be accomplished by using the 'searchAttraction' API.\n\nAction: SearchTrain\nAction Input: { \"departure\": \"Cambridge\", \"destination\": \"Stevenage\", \"arriveBy\": \"16:45\", \"day\": \"Wednesday\" }\n\nAction: searchAttraction\nAction Input: { \"name\": \"Fitzwilliam Museum\", \"return_info\": [\"phone number\", \"address\"] }"}
73 | {"id": "S-S_62", "model": "gpt4", "response": "Thought: The user wants to book a table for 6 people at Lucky Star restaurant at 14:15 and also wants to find the best nightclub in the centre with information about its entrance fee and address. There are two separate actions to complete here, first, we can call the 'BookRestaurant' API to make the restaurant reservation. The second part of the request involves finding a nightclub in the centre. Here, we can use the 'searchAttraction' API with 'type' as 'nightclub' and 'area' as 'centre', and we'll ask for the 'entrance fee' and 'address' to be returned.\n\nAction: BookRestaurant\nAction Input: {\n \"name\": \"Lucky Star\",\n \"day\": \"Monday, January 4, 2024\",\n \"time\": \"14:15\",\n \"people\": 6\n}\n\nAction: searchAttraction\nAction Input: {\n \"type\": \"nightclub\",\n \"area\": \"centre\",\n \"return_info\": [\"entrance fee\", \"address\"]\n}"}
74 | {"id": "S-S_78", "model": "gpt4", "response": "Thought: The user's intent is to find a German restaurant in San Jose. This can be achieved by calling the 'FindRestaurants' API, where we need to give 'cuisine': 'German' and 'city': 'San Jose' as parameters.\n \nAction: FindRestaurants\nAction Input: {\"cuisine\": \"German\", \"city\": \"San Jose\"}"}
75 | {"id": "S-S_75", "model": "gpt4", "response": "Thought: The user wants to book bus tickets, but unfortunately, there is no available API to book bus tickets. The APIs provided can only book cars, find attractions, and share location. Therefore, we cannot fulfill the user's request via the provided APIs.\n\nAction: None\nAction Input: None"}
76 | {"id": "S-S_74", "model": "gpt4", "response": "Thought: The user's request has two parts. The first part is to find a highly rated gynecologist in Fremont. To do this, I can use the 'FindProvider' API. The second part of the request is about booking an appointment with the doctor that was found. This can be done using the 'BookAppointment' API. However, there is a crucial piece of information missing that makes it impossible to call the 'BookAppointment' API: we do not have the name of the doctor yet as it should be the result of the 'FindProvider' API call. Thus, I will first call 'FindProvider' API, analyze results, and then proceed to 'BookAppointment' API.\n\nAction: FindProvider\nAction Input: \n{\n \"city\": \"Fremont\",\n \"type\": \"Gynecologist\"\n}"}
77 | {"id": "S-S_77", "model": "gpt4", "response": "Thought: The user is looking for a 1-star hotel in New Delhi that has wifi. We can use the 'SearchHotel' API to start the search process in response to the user's requirements. We need to input the required parameter 'destination' and the optional parameters 'number_of_rooms' and 'has_wifi'. The 'number_of_rooms' can be defaulted to 1 if not specified and 'has_wifi' can be set to true according to the user's needs. \n\nAction: SearchHotel\nAction Input: {\"destination\": \"New Delhi\", \"number_of_rooms\": \"1\", \"has_wifi\": \"true\", \"star_rating\": \"1\"}"}
78 | {"id": "S-S_76", "model": "gpt4", "response": "Thought: The user's intent is to know the balance of their savings account. The 'CheckBalance' API can be used in this situation, as it can check the amount of money in a user's bank account. Given that it requires the 'account_type' parameter, and the user has specified that they are asking for the 'savings' account, we can satisfy this request by calling that API.\n\nAction: CheckBalance\nAction Input: {\"account_type\": \"savings\"}"}
79 | {"id": "S-S_73", "model": "gpt4", "response": "Thought: The user intends to get a list of attractions in Chicago, and then book a hotel there for 3 days. None of these can be done simultaneously because they rely on returned values of each other. The \"FindAttractions\" API is for finding attractions in a certain location, which, in this case, is Chicago. Then, the user didn't specify the name of the hotel, so we have to call the \"SearchHotel\" API to get the list of hotels in Chicago and then select one for booking. However, the user didn't provide a check-in date, which is a mandatory parameter of the \"ReserveHotel\" API. We need more information before we can book a hotel.\n\nAction: FindAttractions\nAction Input: {\"location\": \"Chicago\"}\n\nAfter getting the list of attractions and more information such as the check-in date, we should call \"SearchHotel\" then \"ReserveHotel\"."}
80 | {"id": "S-S_80", "model": "gpt4", "response": "Thought: The user is asking to find music events in Chicago on March 12th. The 'FindEvents' API should be called using the 'event_type' as \"music\", 'city' as \"Chicago\", and 'date' as \"March 12th\".\n\nAction: FindEvents\nAction Input: {\"event_type\": \"music\", \"city\": \"Chicago\", \"date\": \"March 12th\"}"}
81 | {"id": "S-S_82", "model": "gpt4", "response": "Thought: The user is searching for an intermediate rental car available in Portland, OR, from the 8th to the 12th of March, and the pickup time is around 15:30. The 'GetCarsAvailable' API can be used to find the available cars fitting the user's requirement.\n\nAction: GetCarsAvailable\nAction Input: {\"pickup_city\": \"Portland, OR\", \"pickup_date\": \"2024-03-08\", \"pickup_time\": \"15:30\", \"dropoff_date\": \"2024-03-12\", \"type\": \"Intermediate\"}"}
82 | {"id": "S-S_84", "model": "gpt4", "response": "Thought: The user wants to search for a bus from Vancouver to Seattle on March 5th for three people. A suitable API to call is the FindBus API, which can find a bus itinerary between cities for a given date. \n\nAction: FindBus\nAction Input: {\"origin\": \"Vancouver\", \"destination\": \"Seattle\", \"departure_date\": \"2024-03-05\", \"group_size\": \"3\"}"}
83 | {"id": "S-S_79", "model": "gpt4", "response": "Thought: The user wants to find a Dermatologist in Danville and book an appointment for the 7th at 4pm, then add the event to their calendar. Given these pursuits, three APIs can be potentially used: 'FindProvider' to find the Dermatologist, 'BookAppointment' to schedule the appointment, and 'AddEvent' to incorporate the appointment on their calendar. However, we can not call the 'BookAppointment' API as we don't know the doctor's name to provide as required data. \n\nTherefore, we will first utilize the 'FindProvider' API to locate the Dermatologist in Danville, then based on the returned doctors we could inform that to the user and ask for their choice to proceed with the 'BookAppointment' API and 'AddEvent' API for scheduling the appointment. Since the conversation context doesn't offer the doctor's name, it must be extracted from the user's forthcoming feedback to reserve the appointment.\n\nAction: FindProvider\nAction Input: {\"city\": \"Danville\", \"type\": \"Dermatologist\"}"}
84 | {"id": "S-S_89", "model": "gpt4", "response": "Thought: User intends to find a furnished two-bedroom apartment in Richmond. The request can be satisfied by calling the 'FindApartment' API. For this, we need to set the 'area' to 'Richmond', 'number_of_beds' to '2', and 'furnished' to 'yes'. \n\nAction: FindApartment\nAction Input: {\"area\": \"Richmond\", \"number_of_beds\": 2, \"furnished\": \"yes\"}"}
85 | {"id": "S-S_83", "model": "gpt4", "response": "Thought: The user wants to find a music event in Berkeley and also desires to have a recommendation for an average priced American restaurant that serves barbecue and alcohol. This implies that I will need to call two APIs. One to find the events in Berkeley which is \"FindEvents\" API, a second one to find the restaurant according to the user's preference which is the \"FindRestaurants\" API.\n\nAction: FindEvents\nAction Input: {\"event_type\": \"Music\", \"city\": \"Berkeley\"}\n\nAction: FindRestaurants\nAction Input: {\"cuisine\": \"American\", \"city\": \"Berkeley\", \"price_range\": \"average\", \"serves_alcohol\": \"yes\"}"}
86 | {"id": "S-S_88", "model": "gpt4", "response": "Thought: The user wants to book a bus ticket and a hotel. The user provided all necessary information apart from specific details about the hotel in Vegas. Therefore, we need to first find a bus using the 'FindBus' API and then search for a hotel using the 'SearchHotel' API. Also notice that next Monday from the current date is January 11, 2024.\n\nAction: FindBus\nAction Input: {\"origin\": \"Fresno\", \"destination\": \"Vegas\", \"departure_date\": \"2024-01-11\"}\n\nAction: SearchHotel\nAction Input: {\"location\": \"Vegas\"}"}
87 | {"id": "S-S_85", "model": "gpt4", "response": "Thought: The user is asking to book a cab for 1 person to the address 836 Alturas Avenue #7 and the ride type is regular. This can be achieved by calling the 'GetRide' API.\n\nAction: GetRide\nAction Input: {\"destination\": \"836 Alturas Avenue #7\", \"number_of_seats\": 1, \"ride_type\": \"regular\"}"}
88 | {"id": "S-S_90", "model": "gpt4", "response": "Thought: The user's request is about finding an Italian restaurant in Campbell and making a reservation for two at 5:30 pm. However, neither the 'SearchHotel' nor 'ReserveHotel' APIs are designed to handle restaurant searches or reservations. These APIs are meant for accommodation-related requests. Therefore, no API call can be made because none of the available APIs can cater to this request."}
89 | {"id": "S-S_81", "model": "gpt4", "response": "Thought: The user wants to book a one-way flight from Los Angeles to San Diego on the 5th of March. It requires to call the 'ReserveOnewayFlight' API, but we cannot call it right away since it needs the airlines parameter which is not provided by the user. Instead, we can first call the 'SearchOnewayFlight' API to get the airlines details.\n\nAction: SearchOnewayFlight\nAction Input: {\"origin_city\": \"Los Angeles\", \"destination_city\": \"San Diego\", \"departure_date\": \"2024-03-05\"}"}
90 | {"id": "S-S_86", "model": "gpt4", "response": "Thought: The user needs to find a Gynecologist in the city of Burlingame. This can be achieved by calling the 'FindProvider' API, providing 'Burlingame' for the 'city' parameter and 'Gynecologist' for the 'type' parameter.\n\nAction: FindProvider\nAction Input: {\"city\": \"Burlingame\", \"type\": \"Gynecologist\"}"}
91 | {"id": "S-S_87", "model": "gpt4", "response": "Thought: The user wants to book a luxury cab for one person to 638 El Camino Real and wants to know how long it will take for the cab to arrive. It can be deduced that the user wants to use the GetRide API. We have all the necessary parameters needed to call this API: The destination is \"638 El Camino Real\", the number of seats is \"1\" and the ride type is \"Luxury\".\n\nAction: GetRide\nAction Input: {\"destination\": \"638 El Camino Real\", \"number_of_seats\": \"1\", \"ride_type\": \"Luxury\"}"}
92 | {"id": "S-S_92", "model": "gpt4", "response": "Thought: The user wants to find sports events happening in Sydney, Australia on the coming Saturday and needs 3 tickets. However, based on the available APIs - RequestPayment and MakePayment, neither can assist in finding sports events or purchasing tickets. Therefore, I can't satisfy this request using an API."}
93 | {"id": "S-S_91", "model": "gpt4", "response": "Thought: The user wants to search for a hotel. The required parameters to call the \"SearchHotel\" API are \"destination\". From the user's input, the destination is Anaheim. Hence, I can call \"SearchHotel\" API.\n\nAction: SearchHotel\nAction Input: {\"destination\": \"Anaheim\"}"}
94 | {"id": "S-S_94", "model": "gpt4", "response": "Thought: The user is looking for a hip hop music event in Philadelphia, but the current APIs (\"BookHouse\" and \"SearchHouse\") we have don't support this query. They are only capable of finding and booking a house at a given location. Therefore, we can't fulfill this request since the APIs doesn't match with the user's query."}
95 | {"id": "S-S_96", "model": "gpt4", "response": "Thought: The user wants to book a cab for three people to the specified destination. This request can be fulfilled by the 'GetRide' API. \n\nAction: GetRide\n\nAction Input: {\"destination\": \"1069 B Street\", \"number_of_seats\": 3, \"ride_type\": \"regular\"}"}
96 | {"id": "S-S_98", "model": "gpt4", "response": "Thought: The user intends to find a highly-rated dermatologist in the area of Walnut Creek. However, there aren't any APIs provided that can fulfill this request (for example, a search for doctors or medical practitioners). Therefore, no API call can be made in this case. I will inform the user about this."}
97 | {"id": "S-S_99", "model": "gpt4", "response": "Thought: The user is asking for fantasy movies directed by Neil Marshall. This can be done by calling the 'FindMovies' API with the genre as 'fantasy' and the director's name as 'Neil Marshall'.\n\nAction: FindMovies\nAction Input: {\"genre\": \"fantasy\", \"directed_by\": \"Neil Marshall\"}"}
98 | {"id": "S-S_95", "model": "gpt4", "response": "Thought: From the user's request, it can be inferred that they're looking for a hotel that is pet-friendly, is in New York, and has an availability of 2 rooms. I can fulfill this request using the 'SearchHotel' API which requires 'location' as a required parameter and also accepts 'number_of_rooms' and 'pets_welcome' as optional parameters.\n\nAction: SearchHotel\nAction Input: {\"location\": \"New York\", \"number_of_rooms\": \"2\", \"pets_welcome\": \"true\"}"}
99 | {"id": "S-S_97", "model": "gpt4", "response": "Thought: The user is asking for two different things - recommendation of pop songs and finding a music event in Napa. For this, I will need to call two separate APIs - 'LookupMusic' to find pop songs suitable for a party and 'FindEvents' to find entertaining music events in Napa. \n\nAction: LookupMusic\nAction Input: {\"genre\": \"Pop\"}\n\nAction: FindEvents\nAction Input: {\"event_type\": \"concert\", \"city\": \"Napa\"}"}
100 | {"id": "S-S_100", "model": "gpt4", "response": "Thought: The user is asking to book a roundtrip flight from Washington to Atlanta. They specified the dates and airline, United Airlines, they wish to fly with. We have all the information necessary to call the \"SearchRoundtripFlights\" API.\n\nAction: SearchRoundtripFlights\nAction Input: {\"origin_airport\": \"Washington\", \"destination_airport\": \"Atlanta\", \"departure_date\": \"2024-03-07\", \"return_date\": \"2024-03-12\", \"airlines\": \"United Airlines\"}"}
101 | {"id": "S-S_101", "model": "gpt4", "response": "Thought: The user is looking for a round trip flight between Washington and Mexico for four people. The departure date is the 10th of this month and the return date is the 13th. The suitable API to use in this case is 'SearchRoundtripFlights', as it will return results matching the user's request.\n\nAction: SearchRoundtripFlights\nAction Input: {\"origin_city\": \"Washington\", \"destination_city\": \"Mexico\", \"departure_date\": \"2024-01-10\", \"return_date\": \"2024-01-13\", \"passengers\": \"4\"}"}
102 | {"id": "S-S_93", "model": "gpt4", "response": "Thought: The user wants to search for roundtrip flights from SFO to Seattle. The trip will be on premium economy, departing this Friday, and returning on the 10th of this month. Since today is January 4, 2024, this Friday should be January 6, 2024, and the 10th this month would be January 10, 2024. Based on this intent, I need to call the 'SearchRoundtripFlights' API.\n\nAction: SearchRoundtripFlights\nAction Input: {\n \"origin_airport\": \"SFO\",\n \"destination_airport\": \"Seattle, WA\",\n \"departure_date\": \"2024-01-06\",\n \"return_date\": \"2024-01-10\",\n \"seating_class\": \"Premium Economy\",\n \"number_of_tickets\": \"1\"\n}"}
103 | {"id": "S-S_103", "model": "gpt4", "response": "Thought: The user needs assistance in finding a round trip flight from London to NYC. They have provided the departure date, return date, and seating class. I need to call the 'SearchRoundtripFlights' API with this information. The API requires the parameters 'origin_airport', 'destination_airport', 'departure_date' and 'return_date'. The user has already provided all the required values.\n\nAction: SearchRoundtripFlights\nAction Input: {\n \"origin_airport\": \"London\",\n \"destination_airport\": \"NYC\",\n \"departure_date\": \"2024-01-06\",\n \"return_date\": \"2024-01-09\",\n \"seating_class\": \"Economy\"\n}"}
104 | {"id": "S-S_102", "model": "gpt4", "response": "Thought: The user wants to find a one-way flight for three people from Las Vegas to Atlanta on the 5th of March. This requires me to use the 'SearchOnewayFlight' API to provide the relevant information. In this case, the user has provided all the necessary information (origin_city - Las Vegas, destination_city - Atlanta, departure_date - 5th of March) needed to call this API. I will also specify the number of passengers in the optional parameters. \n\nAction: SearchOnewayFlight\nAction Input: {\n \"origin_city\": \"Las Vegas\",\n \"destination_city\": \"Atlanta\",\n \"departure_date\": \"2024-03-05\",\n \"passengers\": \"3\"\n}"}
105 |
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/MTU-Eval/responses/S-M_gpt4_response.jsonl:
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1 | {"id": "S-M_9", "model": "gpt4", "response": "Thought: The user is asking for a top-rated hair stylist in New York, which I can find using the \"FindProvider\" API. However, the API doesn't allow me to sort results by \"average_rating\", but I can call it and choose the stylist with the highest rating myself. Once I find the stylist, I will use the \"add_new_contact\" API to add the stylist's phone number to the user's contact list.\n\nAction: FindProvider\nAction Input: {\"city\": \"New York\"}\n\nAfter checking the ratings and finding the top-rated stylist:\n\nAction: add_new_contact\nAction Input: { \"contact_name\": \"FindProvider.stylist_name\", \"phone_number\": \"FindProvider.phone_number\" }"}
2 | {"id": "S-M_3", "model": "gpt4", "response": "Thought: The user wants to check the late fees on their library account, pay them off, and reserve a book. Then they want to find a dentist in San Francisco who offers cosmetic services, book an appointment, add the dentist to their contacts, and set a reminder for that appointment. This will involve making successive calls to several APIs.\n\nAction: \"get_late_fees\"\nAction Input: {\"library_ID\": 123456}\n\nAction: \"make_payment\"\nAction Input: {\"account_number\": \"123456\", \"payment_amount\": \"get_late_fees.late_fees\", \"payment_method\": \"Credit Card\"}\n\nAction: \"reserve_book\"\nAction Input: {\"book_title\": \"War and Peace\", \"card_number\": 123456}\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"San Francisco\", \"offers_cosmetic_services\": \"true\"}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_time\": \"10:00\", \"appointment_date\": \"2024-02-09\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"FindProvider.dentist_name\", \"phone_number\": \"FindProvider.phone_number\"}\n\nAction: \"set_appointment_reminder\"\nAction Input: {\"appointment_name\": \"Dental appointment\", \"appointment_date\": \"2024-02-09\", \"appointment_time\": \"10:00\", \"appointment_address\": \"FindProvider.address\", \"reminder_time\": \"2 hours before\"}\n"}
3 | {"id": "S-M_1", "model": "gpt4", "response": "Thought: The user request is complex and requires several actions based on the API calls available. Firstly, the temperature of the living room needs to be fetched using the 'get_current_temperature' API. Secondly, the 'adjust_room_temperature' API call is necessary to set the temperature of the bedroom to the retrieved living room temperature. The next part of the request involves the 'AddToPlaylist' API to add an album (which is not specified by the user) to a particular playlist. Lastly, the user wants to rate a textbook, and this would require the 'RateBook' API. However, the textbook name is also not provided by the user.\n\nAction: \"get_current_temperature\"\nAction Input: {\"location\": \"living room\"}\n\nAction: \"adjust_room_temperature\"\nAction Input: {\"temperature\": \"get_current_temperature.temperature\", \"location\": \"bedroom\"}\n\nAction: \"AddToPlaylist\"\nAction Input: {\"playlist\": \"Might and Myth Power Metal\", \"music_item\": \"album\"}\n\nAction: \"RateBook\"\nAction Input: {\"rating_value\": \"1\", \"object_name\": \"textbook\"}\n\nNote: User input validation is necessary as the user didn't specify the album to add and which textbook to rate."}
4 | {"id": "S-M_8", "model": "gpt4", "response": "Thought: The user's request involves several steps:\n1. Finding a hair stylist using the FindProvider API.\n2. Adding the stylist to the contact list using AddNewContact API.\n3. Booking a restaurant using BookRestaurant API.\n4. Getting the rain forecast using GetWeather API.\n5. Checking doctor's appointment using the get_user_appointments API.\n6. Booking a flight using the SearchOnewayFlight API.\n\nAction: FindProvider\nAction Input: {\"city\": \"New York City\"}\n\nAction: add_new_contact\nAction Input: {\"contact_name\": \"FindProvider.stylist_name\", \"phone_number\": \"FindProvider.phone_number\"}\n\nAction: BookRestaurant\nAction Input: {\"restaurant_name\": \"\", \"party_size_number\": \"10\", \"city\": \"New York City\", \"poi\": \"\"}\n\nAction: GetWeather\nAction Input: {\"country\": \"South Korea\", \"condition_temperature\": \"Rain\", \"timeRange\": \"1 hour from now\"}\n\nAction: get_user_appointments\nAction Input: {\"name\": \"doctor\", \"date\": \"\" }\n\nAction: SearchOnewayFlight\nAction Input: {\"fromloc\": \"Los Angeles\", \"toloc\": \"New York City\", \"departure_date\": \"get_user_appointments.appointment_date\" }"}
5 | {"id": "S-M_7", "model": "gpt4", "response": "Thought: The user's request can be broken into four parts. First, they want to listen to a song from the Jazz genre and have it played on their TV. Second, they want to book a high-rated restaurant for a party of ten. Third, they are requesting the rain forecast for one hour from now in South Korea. Lastly, they want to check their schedule for a specific event named \"Go to swim\". I can use the APIs \"LookupSong\", \"PlaySong\", \"BookRestaurant\", \"GetWeather\", \"get_user_appointments\" respectively to satisfy this request.\nAction: \"LookupSong\"\nAction Input: {\"genre\": \"jazz\"}\n\nAction: \"PlaySong\"\nAction Input: {\"song_name\": \"LookupSong.song_name\", \"artist\": \"LookupSong.artist\", \"album\": \"LookupSong.album\", \"playback_device\": \"TV\"}\n\nAction: \"BookRestaurant\"\nAction Input: {\"party_size_description\": \"party of ten\"}\n\nAction: \"GetWeather\"\nAction Input: {\"geographic_poi\": \"south korea\", \"timeRange\": \"one hour from now\", \"condition_description\": \"rain\"}\n\nAction: \"get_user_appointments\"\nAction Input: {\"name\": \"Go to swim\"}"}
6 | {"id": "S-M_5", "model": "gpt4", "response": "Thought: The user is asking for a sequence of tasks which involve multiple API calls. \n\n1. The first is checking for the current temperature in Paris via the \"get_current_temperature\" API.\n2. Then I'll call the \"adjust_room_temperature\" API to change the temperature in the user's living room to match the temperature in Paris. This depends on the result of the first API call.\n3. Next, the user wants find a dentist who can do cosmetic works in New York City. I should use the \"FindProvider\" API for this.\n4. The user wants to make an appointment at 2 p.m. on February 10th with the dentist found from the previous API call, I should use the \"BookAppointment\" API to handle this.\n5. User wants to add bobby brown to my enamor\u00e1ndose playlist, I should call the \"AddToPlaylist\" API.\n6. Next, the user wants to book a reservation at a restaurant. I'll need to call the \"BookRestaurant\" API.\n7. The user also wants me to find four songs. Unfortunately, more details are needed to select songs, such as the genre, artist, or specific song names.\n\nAction: \"get_current_temperature\"\nAction Input: {\"location\": \"Paris\"}\n\nAction: \"adjust_room_temperature\"\nAction Input: {\"temperature\": \"get_current_temperature.temperature\", \"location\": \"living room\"}\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\", \"offers_cosmetic_services\": true}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_date\": \"2024-02-10\", \"appointment_time\": \"14:00\"}\n\nAction: \"AddToPlaylist\"\nAction Input: {\"playlist\": \"enamor\u00e1ndose\", \"entity_name\": \"bobby brown\"}\n\nAction: \"BookRestaurant\"\nAction Input: {\"poi\": \"Ohio\", \"party_size_number\": \"10\"}"}
7 | {"id": "S-M_4", "model": "gpt4", "response": "Thought: From the user input, I can deduce multiple tasks that need to be executed by different APIs. First, the user wants to set an alarm labeled \"Workout\" at 7:00 PM for today and change the alarm sound to \"Birdsong\". This can be accomplished by calling \"set_alarm\" and \"change_alarm_sound\" APIs. Second, the user wants to find a concert location in New York. This can be achieved by using the \"FindEvents\" API. Third, they want to share the event location with a friend named Alex, which can be performed by the \"ShareLocation\" API. Fourth, the user wants to know if the sun will be out in one minute in Searcy, Uganda. This can be executed by using the \"GetWeather\" API. Finally, they want to search for a creative work called \"switched\", which can be done by the \"SearchCreativeWork\" API.\n\nAction: \"set_alarm\"\nAction Input: {\"time\": \"19:00\", \"label\": \"Workout\"}\n\nAction: \"change_alarm_sound\"\nAction Input: {\"time\": \"19:00\", \"label\": \"Workout\", \"sound\": \"Birdsong\"}\n\nAction: \"FindEvents\"\nAction Input: {\"event_type\": \"concert\", \"city\": \"New York\"}\n\nAction: \"ShareLocation\"\nAction Input: {\"location\": \"FindEvents.venue_address\", \"contact_name\": \"Alex\"}\n\nAction: \"FindEvents\"\nAction Input: {\"event_type\": \"sun\", \"city\": \"searcy uganda\"}\n\nAction: \"GetWeather\"\nAction Input: {\"current_location\": \"searcy uganda\"}\n\nAction: \"SearchCreativeWork\"\nAction Input: {\"object_name\": \"switched\"}"}
8 | {"id": "S-M_2", "model": "gpt4", "response": "Thought: The user needs help setting an alarm, changing an alarm sound, booking a dentist appointment, setting a reminder, booking a restaurant, playing music, and retrieving movie times. To satisfy the user's need, I have to call multiple APIs: set_alarm, change_alarm_sound, FindProvider, BookAppointment, set_appointment_reminder, BookRestaurant, PlayMusic, and SearchScreeningEvent.\n\nAction: \"set_alarm\"\nAction Input: {\"time\": \"06:30\", \"recurrence\": [\"weekdays\"]}\n\nAction: \"change_alarm_sound\"\nAction Input: {\"time\": \"06:30\", \"recurrence\": [\"weekdays\"], \"sound\": \"waves\"}\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"Los Angeles\", \"offers_cosmetic_services\": true}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_date\": \"2024-06-15\", \"appointment_time\": \"14:00\"}\n\nAction: \"set_appointment_reminder\"\nAction Input: {\"appointment_name\": \"Dentist Appointment\", \"appointment_date\": \"2024-06-15\", \"appointment_time\": \"14:00\", \"reminder_time\": \"2 hours before\"}\n\nAction: \"BookRestaurant\"\nAction Input: {\"cuisine\": \"souvlaki\", \"state\":\"ne\"}\n\nAction: \"PlayMusic\"\nAction Input: {\"service\": \"LastFM\", \"album\": \"this is: miles davis\"}\n\nAction: \"SearchScreeningEvent\"\nAction Input: {\"current_location\": \"true\"}"}
9 | {"id": "S-M_0", "model": "gpt4", "response": "Thought: The user's request involves multiple operations which require different APIs. First, we need to get the current temperature of the living room using the \"get_current_temperature\" API. After getting the value, we then need to set the same temperature to the bedroom by calling the \"adjust_room_temperature\" API. \n\nNext, we need to handle the user's request for music by adding \"muzika za decu\" to the \"crash course\" playlist using the \"AddToPlaylist\" API.\n\nThe user also wants to book a restaurant in niger for seven people; this will require the \"BookRestaurant\" API. \n\nAfter that, we need to get the weather forecast for milleville beach with the \"GetWeather\" API.\n\nRegarding the user's request for a hair stylist in New York who caters to both men and women, we first need to use the \"FindProvider\" API.\n\nNext, according to the obtained hair stylist information, we make an appointment using the \"BookAppointment\" API.\n\nLastly, the user wants to store the obtained stylist's contact information to their contact list - to achieve this, we can use the \"add_new_contact\" API.\n\nAction: \"get_current_temperature\"\nAction Input: {\"location\": \"living room\"}\n\nAction: \"adjust_room_temperature\"\nAction Input: {\"location\": \"bedroom\", \"temperature\": \"get_current_temperature.temperature\"}\n\nAction: \"AddToPlaylist\"\nAction Input: {\"playlist\": \"crash course\", \"entity_name\": \"muzika za decu\"}\n\nAction: \"BookRestaurant\"\nAction Input: {\"restaurant_name\": \"niger\", \"party_size_description\": \"seven people\"}\n\nAction: \"GetWeather\"\nAction Input: {\"city\": \"milleville beach\", \"date\": \"2024-01-04\"}\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\", \"is_unisex\": true}\n\nAction: \"BookAppointment\"\nAction Input: {\"stylist_name\": \"FindProvider.stylist_name\", \"appointment_time\": \"08:00\", \"appointment_date\": \"2024-01-08\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"BookAppointment.stylist_name\", \"phone_number\": \"BookAppointment.phone_number\"}"}
10 | {"id": "S-M_14", "model": "gpt4", "response": "Thought: The user is asking for three different tasks to be performed. Firstly, they want to find a dentist that offer cosmetic services in New York City. Then, they want to book an appointment with that dentist for June 28th at 10 a.m. Lastly, they want to book a restaurant for souvlaki cuisine in Michigan and play \"This is: Miles Davis\" on Lastfm. This will require calling the \"FindProvider\", \"BookAppointment\", \"BookRestaurant\", and \"PlayMusic\" APIs in the respective sequence.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York City\", \"offers_cosmetic_services\": true}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_time\": \"10:00\", \"appointment_date\": \"2024-06-28\"}\n\nAction: \"BookRestaurant\"\nAction Input: {\"poi\": \"NE\", \"served_dish\": \"souvlaki\"}\n\nAction: \"PlayMusic\"\nAction Input: {\"music_item\": \"This is: Miles Davis\", \"service\": \"lastfm\"}"}
11 | {"id": "S-M_6", "model": "gpt4", "response": "Thought: \nThe user's request can be divided into multiple parts: \n1. User wants the current balance of a specific bank account. For this, I will call the 'get_account_balance' API with the account number provided. \n2. User wants to transfer all the money from their checking account to their savings account. For this, I will call the 'transfer_funds' API, using the above 'get_account_balance' API balance value to transfer this fund. \n3. User wants to view their recent transactions. For this, I need to call the 'get_recent_transactions' API.\n4. User wants to find a dentist in New York and book an appointment on a specific date and time. For this, I will need to call \"FindProvider\" API and then \"BookAppointment\" API. \n5. After booking the appointment, the user wants to add the dentist's phone number to their contact list. So, \"add_new_contact\" API should be called with dentist contact information from previous API.\n6. The user wants to rate a book with a specific rating star. For this, \"RateBook\" API should be called with book name and rating value.\n \n\nAction: \"get_account_balance\"\nAction Input: {\"account_number\": \"239267492492\"}\n\nAction: \"transfer_funds\"\nAction Input: {\"account_number\": \"239267492492\", \"source_account\": \"checking\", \"destination_account\": \"savings\", \"amount\": \"get_account_balance.balance\", \"transfer_speed\": \"now\"}\n\nAction: \"get_recent_transactions\"\nAction Input: {\"account_number\": \"239267492492\"}\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\"}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_time\": \"10:00\", \"appointment_date\": \"2024-02-02\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"FindProvider.dentist_name\", \"phone_number\": \"FindProvider.phone_number\"}\n\nAction: \"RateBook\"\nAction Input: {\"object_name\": \"the american scene\", \"rating_value\": \"2\"}"}
12 | {"id": "S-M_15", "model": "gpt4", "response": "Thought: The user wants to attend a concert called \"Summer Jam\" in New York and requires a one-way flight from San Francisco on the day of the event. In this case, two APIs need to be called. The first API, \"FindEvents\", will find the date of the event, and the second API, \"SearchOnewayFlight\", will book the flight. \n\nAction: \"FindEvents\"\nAction Input: {\"event_type\": \"concert\", \"city\": \"New York\"}\n\n(Need to wait for the \"FindEvents\" action to complete and get the event date.)\nIf the date value obtained from the \"FindEvents\" result parameter \"date\" is date_value,\n\nAction: \"SearchOnewayFlight\"\nAction Input: {\"origin_city\": \"San Francisco\", \"destination_city\": \"New York\", \"departure_date\": \"FindEvents.date_value\"}\n"}
13 | {"id": "S-M_12", "model": "gpt4", "response": "Thought: The user has three intentions here. First, they want to find the date of a concert in New York. Second, they want the weather forecast for the day of the concert. Lastly, they want to find a dentist, book an appointment, and save the dentist's phone number to their contact list. I will need to call multiple APIs to meet the user's needs.\n\nAction: \"FindEvents\"\nAction Input: {\"event_type\": \"concert\", \"city\": \"New York\"}\n\nAction: \"GetWeather\"\nAction Input: {\"city\": \"New York\", \"date\": \"FindEvents.date\"}\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\"}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_time\": \"10:00\", \"appointment_date\": \"2024-02-02\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"FindProvider.dentist_name\", \"phone_number\": \"FindProvider.phone_number\"}"}
14 | {"id": "S-M_10", "model": "gpt4", "response": "Thought: The user is asking for several actions. First, they want to find a unisex hair stylist in New York. Next, they want to add the stylist's details to their contact list. Then, they want to find a dentist in New York City that offers cosmetic services. They also ask to make an appointment with the dentist for a certain date and time, and they want to set a reminder for the appointment. Therefore, we will need to call several APIs: first the \"FindProvider\" API to find the stylist and the dentist, then the \"add_new_contact\" API to add the stylist's details to the contact list, then the \"BookAppointment\" API to book a dentist appointment, and finally the \"set_appointment_reminder\" API to set the reminder.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\", \"is_unisex\": true}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"FindProvider.stylist_name\", \"phone_number\": \"FindProvider.phone_number\", \"address\": \"FindProvider.street_address\"}\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York City\", \"offers_cosmetic_services\": true}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_time\": \"15:00\", \"appointment_date\": \"2024-06-15\"}\n\nAction: \"set_appointment_reminder\"\nAction Input: {\"appointment_name\": \"Dentist appointment\", \"appointment_date\": \"2024-06-15\", \"appointment_time\": \"13:00\", \"appointment_address\": \"BookAppointment.address\", \"reminder_time\": \"2 hours before\"}"}
15 | {"id": "S-M_16", "model": "gpt4", "response": "Thought: The user's intent is to find a doctor specialized in Cardiology in New York, add that doctor to their contact list, find a concert event location in New York, and send that location to a contact named Alex. This involves calling the \"FindProvider\" API first to find the desired medical service provider. The doctor_name, phone_number returned from the \"FindProvider\" API can be used to make a call to the \"add_new_contact\" API to add the doctor's contact. Then, look for the concert event in New York using the \"FindEvents\" API. Once the event location is found, it can be sent to Alex using the \"ShareLocation\" API.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\", \"type\": \"Cardiology\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"FindProvider.doctor_name\", \"phone_number\": \"FindProvider.phone_number\"}\n\nAction: \"FindEvents\"\nAction Input: {\"event_type\": \"concert\", \"city\": \"New York\"}\n\nAction: \"ShareLocation\"\nAction Input: {\"location\": \"FindEvents.venue_address\", \"contact_name\": \"Alex\"}"}
16 | {"id": "S-M_11", "model": "gpt4", "response": "Thought: \nThe user has multiple requests. First, they wish to find out when a music concert is happening in New York. For this, we can use the \"FindEvents\" API with 'event_type' as 'concert' and 'city' as 'New York. \n\nSecond, the user wants to know the weather forecast for the day of the concert. We can use the \"GetWeather\" API for this, using the date received from the previous API call and 'city' as 'New York'. \n\nThird, they want to book a table at a pizzeria with parking in Ghana. We can use the \"BookRestaurant\" service for this with 'restaurant_type' as 'pizzeria', 'facility' as 'parking', and 'city' as 'Ghana'. \n\nLastly, they want to play music from the modern psychedelia genre, for that, we can use the \"PlayMusic\" API with 'genre' as 'modern psychedelia'.\n\nAction: \"FindEvents\"\nAction Input: {\"event_type\": \"concert\", \"city\": \"New York\"}\n\nAction: \"GetWeather\"\nAction Input: {\"city\": \"New York\", \"date\": \"FindEvents.date\"} \n\nAction: \"BookRestaurant\"\nAction Input: {\"restaurant_type\": \"pizzeria\", \"facility\": \"parking\", \"city\": \"Ghana\"}\n\nAction: \"PlayMusic\"\nAction Input: {\"genre\": \"modern psychedelia\"}"}
17 | {"id": "S-M_17", "model": "gpt4", "response": "Thought: The user wants to find a dentist in New York and book an appointment with them. This can be done by first calling the \"FindProvider\" API and using the results to call the \"BookAppointment\" API. Apart from that, the user also wishes to search for a book using its title. This can be done by calling the \"SearchCreativeWork\" API.\n\nAction: FindProvider\nAction Input: {\"city\": \"New York\", \"type\": \"Dentist\"}\n\nAction: BookAppointment\nAction Input: {\"doctor_name\": \"FindProvider.doctor_name\", \"appointment_date\": \"2024-02-03\", \"appointment_time\": \"13:00\"}\n\nAction: SearchCreativeWork\nAction Input: {\"object_name\": \"free to play\", \"object_type\": \"book\"}"}
18 | {"id": "S-M_13", "model": "gpt4", "response": "Thought: The user has various requests. The first one is to find a dentist who offers cosmetic services near New York City and make an appointment. Next, they wish to add a song by Bobby Brown to a specific playlist. After that, they want to make a reservation for ten at a restaurant in Ohio. Then they would like to find four songs. To meet the user's needs, I will call FindProvider API to find a suitable dentist, BookAppointment API to book a dental appointment, AddToPlaylist API to add the song, BookRestaurant API to make the restaurant reservation, and SearchCreativeWork API to find the songs. \n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York City\", \"offers_cosmetic_services\": true}\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_time\": \"2:00\", \"appointment_date\": \"2024-02-10\"}\nAction: \"AddToPlaylist\"\nAction Input: {\"playlist\": \"enamor\u00e1ndose\", \"entity_name\": \"Bobby Brown\"}\nAction: \"BookRestaurant\"\nAction Input: {\"poi\": \"Ohio\", \"party_size_description\": \"ten\"}\nAction: \"SearchCreativeWork\"\nAction Input: {\"object_name\": \"song\", \"object_type\": \"music\"}"}
19 | {"id": "S-M_18", "model": "gpt4", "response": "Thought: The user's request involves three distinct actions necessitating the call of multiple APIs in sequential order with exchange of parameters. First, the FindProvider API should be called to locate a unisex hair stylist in New York City. Second, given the returned stylist_name, the BookAppointment API ought to be invoked to secure an appointment time for the upcoming Saturday at 2 PM. Third, the stylist's contact phone number retrieved from the first API call needs to be stored and the add_new_contact API is suitable for this. Then, The GetWeather API ought to be applied to obtain the weather condition for Delaware and Lehigh National Heritage Corridor. Last, the PlayMusic API is called considering the user wants to listen something on youtube. \n\nAction: FindProvider\nAction Input: {\"city\": \"New York City\", \"is_unisex\": true}\n\nAction: BookAppointment\nAction Input: {\"stylist_name\": \"FindProvider.stylist_name\", \"appointment_date\": \"2024-01-06\", \"appointment_time\": \"14:00\"}\n\nAction: add_new_contact\nAction Input: {\"contact_name\": \"FindProvider.stylist_name\", \"phone_number\": \"FindProvider.phone_number\"}\n\nAction: GetWeather\nAction Input: {\"geographic_poi\": \"Delaware and Lehigh National Heritage Corridor\"}\n\nAction: PlayMusic\nAction Input: {\"service\": \"youtube\"}\n"}
20 | {"id": "S-M_20", "model": "gpt4", "response": "Thought: The user wants to check their account balance and then transfer all of it to a friend's account. There are two parts to this request, checking balance and transferring funds. We have the 'get_account_balance' API for the first part and the 'transfer_funds' API for the second part. The user's intent requires that we call these two APIs in sequence with the amount to be transferred determined by the balance check.\n\nAction: \"get_account_balance\"\nAction Input: {\"account_number\": \"123456\"}\n\nAction: \"transfer_funds\"\nAction Input: {\"account_number\": \"123456\", \"source_account\": \"123456\", \"destination_account\": \"7891011\", \"amount\": \"get_account_balance.balance\", \"transfer_speed\": \"now\"}"}
21 | {"id": "S-M_21", "model": "gpt4", "response": "Thought: The user wants to know the details of an existing alarm set for 7 am on Friday and also wants to set a new alarm at 3 pm today with the same sound but without vibration. This requires calling both the 'get_alarm' API to retrieve information about the existing alarm and then the 'set_alarm' API to set up a new alarm using the sound preference from the returned alarm details.\n\nAction: \"get_alarm\"\nAction Input: {\"time\": \"07:00\", \"recurrence\": [\"Friday\"]}\n\nAction: \"set_alarm\"\nAction Input: {\"time\": \"15:00\", \"label\": \"My alarm\", \"recurrence\": [\"today\"], \"sound\": \"get_alarm.return_parameters.alarm_details.sound\", \"vibrate\": 0}"}
22 | {"id": "S-M_19", "model": "gpt4", "response": "Thought: The user wants to complete several tasks including adding a song to a playlist, booking a ticket for a movie screening, applying for a library membership, and borrowing a book. For these requests, the APIs \"AddToPlaylist\", \"SearchScreeningEvent\", \"apply_for_membership\" and \"get_book_status\" can be used respectively. The extraction information includes the song name is \"a very cellular song\", the playlist name is \"masters of metal\", the movie name is \"doa: dead or alive\", the movie location is \"loews cineplex entertainment\", the city of the user is \"New York\", and the book title is \"Twenty Thousand Leagues Under the Sea\".\n\nAction: \"AddToPlaylist\"\nAction Input: {\"playlist\": \"masters of metal\", \"entity_name\": \"a very cellular song\"}\n\nAction: \"SearchScreeningEvent\"\nAction Input: {\"movie_name\": \"doa: dead or alive\", \"location_name\": \"loews cineplex entertainment\"}\n\nAction: \"apply_for_membership\"\nAction Input: {\"city_of_residence\": \"New York\"}\n\nAction: \"get_book_status\"\nAction Input: {\"book_title\": \"Twenty Thousand Leagues Under the Sea\"}"}
23 | {"id": "S-M_23", "model": "gpt4", "response": "Thought: The user has two main requests. First, they are looking for a cardiology specialist in Phoenix and want to book an appointment with this doctor on February 8th at 11 AM. In this case, it's necessary to call the FindProvider and then BookAppointment APIs. The second request is to find a book titled \"free to play\", which would involve calling the SearchCreativeWork API.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"Phoenix\", \"type\": \"cardiology\"}\n\nAction: \"BookAppointment\"\nAction Input: {\"doctor_name\": \"FindProvider.doctor_name\", \"appointment_date\": \"2024-02-08\", \"appointment_time\": \"11:00\"}\n\nAction: \"SearchCreativeWork\"\nAction Input: {\"object_name\": \"free to play\"}"}
24 | {"id": "S-M_22", "model": "gpt4", "response": "Thought: The user needs to find a doctor (a cardiologist) in New York, then add this doctor to their contact list using the doctor's phone number and address. They also want to know the current temperature in Paris and set the temperature of their living room to match it. To accomplish this, we need to use the 'FindProvider', 'add_new_contact, 'get_current_temperature', and 'adjust_room_temperature' APIs.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\", \"type\": \"Cardiologist\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"FindProvider.doctor_name\", \"phone_number\": \"FindProvider.phone_number\", \"address\": \"FindProvider.street_address\"}\n\nAction: \"get_current_temperature\"\nAction Input: {\"location\": \"Paris\"}\n\nAction: \"adjust_room_temperature\"\nAction Input: {\"temperature\": \"get_current_temperature.temperature\", \"location\": \"living room\"}"}
25 | {"id": "S-M_26", "model": "gpt4", "response": "Thought: The user is requesting for multiple actions. First, user wants to book a table at a pizzeria in Ghana which has parking facility. For this, we will need to call the \"BookRestaurant\" API. Next, user wants to play modern psychedelia music. This would involve using the \"PlayMusic\" API. Following that, user wants to find a dentist in New York and book an appointment on a specific date and time. We will need to use two APIs - \"FindProvider\" for finding dentist and then \"BookAppointment\" for booking the appointment. Finally, user wants to save the dentist's contact information into his contact list. To do this, we need to call \"add_new_contact\" API.\n\nAction: \"BookRestaurant\"\nAction Input: {\"poi\": \"ghana\", \"facility\": \"parking\", \"restaurant_type\": \"pizzeria\"}\n\nAction: \"PlayMusic\"\nAction Input: {\"genre\": \"modern psychedelia\"}\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\"}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\":\"FindProvider.dentist_name\", \"appointment_time\":\"10:00\", \"appointment_date\":\"2024-01-20\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\":\"BookAppointment.dentist_name\", \"phone_number\":\"BookAppointment.phone_number\", \"address\":\"BookAppointment.address\"}"}
26 | {"id": "S-M_25", "model": "gpt4", "response": "Thought: The user wants to find a song by Taylor Swift, set it as the alarm sound for the 3 p.m. alarm today, and schedule a dental appointment with Dr. Clarke on April 5th at 3 PM. Once the appointment is booked, the user wants to set a reminder 2 hours before the appointment. \n\nSince the alarm setting process needs a specific song, the first step is to use the LookupSong API to find a song by Taylor Swift. After we have the song, we can set it as the alarm sound for the 3 p.m. alarm using the change_alarm_sound API. \n\nThen, we can proceed to book the appointment using the BookAppointment API and then set up the reminder using the set_appointment_reminder API.\n\nAction: \"LookupSong\"\nAction Input: {\"artist\": \"Taylor Swift\"}\n\nAction: \"change_alarm_sound\"\nAction Input: {\"time\": \"15:00\", \"sound\": \"LookupSong.song_name\"}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"Dr. Clarke\", \"appointment_date\": \"2024-04-05\", \"appointment_time\": \"15:00\"}\n\nAction: \"set_appointment_reminder\"\nAction Input: {\"appointment_name\": \"Dentist appointment with Dr. Clarke\", \"appointment_date\": \"2024-04-05\", \"appointment_time\": \"15:00\", \"reminder_time\": \"2 hours before\"}\n"}
27 | {"id": "S-M_23", "model": "gpt4", "response": "Thought: The user wants to do three separate things. First, they want to rate a currently unnamed novel with 3 stars. Second, they want to search for a book titled \"Free to Play\". And lastly, they want to find a cardiologist in Phoenix and make an appointment. Let's break it down;\n\nThe first task involves rating a book. However, the user hasn't provided which book to rate. We need this information before we can rate the book. However, for this situation, we can state the action with the provided rating and leave the book name empty for demonstration purposes. The API to call for this will be \"RateBook\".\n\nThe second task is to find a book titled \"Free to Play\". This can be achieved using the \"SearchCreativeWork\" API with the object type as book and object name as \"Free to Play\".\n\nThe last task is in two parts - first is to find a cardiologist in Phoenix using the \"FindProvider\" API, then using the other API \"BookAppointment\" to set the appointment. \n\nAction: \"RateBook\"\nAction Input: {\"rating_value\": \"3\", \"object_name\": \"\", \"object_type\": \"book\"}\n\nAction: \"SearchCreativeWork\"\nAction Input: {\"object_name\": \"Free to Play\", \"object_type\": \"book\"}\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"Phoenix\", \"type\": \"Cardiologist\"}\n\nAction: \"BookAppointment\"\nAction Input: {\"doctor_name\": \"FindProvider.doctor_name\", \"appointment_date\": \"2024-02-08\", \"appointment_time\": \"11:00\"}\n"}
28 | {"id": "S-M_29", "model": "gpt4", "response": "Thought: The user wants to find a dentist who can do cosmetic work in San Francisco, make an appointment with them, set a reminder for it, and listen to a rock song from the 90s. This will involve calling the FindProvider, BookAppointment, set_appointment_reminder, LookupSong, and PlaySong APIs. \n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"San Francisco\", \"offers_cosmetic_services\": true}\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_time\": \"14:00\", \"appointment_date\": \"2024-03-01\"}\nAction: \"set_appointment_reminder\"\nAction Input: {\"appointment_name\": \"Dentist appointment\", \"appointment_date\": \"2024-03-01\", \"appointment_time\": \"14:00\", \"appointment_address\": \"BookAppointment.address\", \"reminder_time\": \"1 hour before\"}\nAction: \"LookupSong\"\nAction Input: {\"genre\": \"rock\", \"year\": \"1990s\"}\nAction: \"PlaySong\"\nAction Input: {\"song_name\": \"LookupSong.song_name\", \"playback_device\": \"TV\"}"}
29 | {"id": "S-M_28", "model": "gpt4", "response": "Thought: The user has several requests. First, they want to find a dentist and book an appointment at a specific time. They also want to add the dentist's contact information to their contacts list. They want to apply for library membership in San Francisco and reserve the book \"To Kill a Mockingbird\", but the rest of the input is unclear and not necessarily related to available APIs, so I'll focus on their clear requests. I'll need to call the \"FindProvider\" API to find a dentist, \"BookAppointment\" API to book the appointment, \"add_new_contact\" API to add the dentist's contact information, \"apply_for_membership\" API to apply for a library membership and \"reserve_book\" API to reserve the book.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"San Francisco\"}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_time\": \"10:00\", \"appointment_date\": \"2024-02-02\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"FindProvider.dentist_name\", \"phone_number\": \"FindProvider.phone_number\"}\n\nAction: \"apply_for_membership\"\nAction Input: {\"city_of_residence\": \"San Francisco\"}\n\nAction: \"reserve_book\"\nAction Input: {\"book_title\": \"To Kill a Mockingbird\", \"card_number\": \"apply_for_membership.card_number\"}"}
30 | {"id": "S-M_30", "model": "gpt4", "response": "Thought: The user's request contains multiple tasks. Based on the details provided, they require services from three APIs: 'FindProvider' to find a dentist in New York offering cosmetic services, 'BookAppointment' to book a slot with the dentist, 'add_new_contact' to save the details into their contact list, 'BookRestaurant' to book a restaurant and finally 'PlayMusic' API to play a 1997 record.\n\nAction: FindProvider\nAction Input: {\"city\": \"New York\", \"offers_cosmetic_services\": true}\n\nAction: BookAppointment\nAction Input: {\n \"dentist_name\": \"FindProvider.dentist_name\",\n \"appointment_date\": \"2024-12-15\",\n \"appointment_time\": \"14:00\"\n}\n\nAction: add_new_contact\nAction Input: {\n \"contact_name\": \"FindProvider.dentist_name\",\n \"phone_number\": \"FindProvider.phone_number\"\n}\n\nAction: BookRestaurant\nAction Input: {\"party_size_number\": \"10\"}\n\nAction: PlayMusic\nAction Input: {\"year\": \"1997\"}"}
31 | {"id": "S-M_30", "model": "gpt4", "response": "Thought: The user wants multiple things done. First, they want to find a dentist in New York that offers cosmetic services and then book an appointment. Next, they want to save the dentist's contact details. The user's request can be accommodated with the FindProvider and BookAppointment APIs. After finishing it, they want to book a restaurant for a large party, listen to music from a certain year and look for films playing nearby. We might need to use BookRestaurant, PlayMusic and SearchScreeningEvent APIs but these require inputs from the user that were not given.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\", \"offers_cosmetic_services\": true}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_time\": \"14:00\", \"appointment_date\": \"2024-12-15\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"FindProvider.dentist_name\", \"phone_number\": \"FindProvider.phone_number\"}\n\nAction: \"BookRestaurant\"\nAction Input: {\"party_size_number\": \"10\"}\n\nAction: \"PlayMusic\"\nAction Input: {\"year\": \"1997\"}\n\nAction: \"SearchScreeningEvent\"\nAction Input: {}"}
32 | {"id": "S-M_36", "model": "gpt4", "response": "Thought: The user is asking to play a song from the Jazz genre on their TV. We need to first find a Jazz genre song. This can be done by calling the \"LookupSong\" API and setting the \"genre\" parameter to \"Jazz\". Once we have a song, we can play it on the user's TV using the \"PlaySong\" API with the \"song_name\" parameter set to the song we found and the \"playback_device\" parameter set to \"TV\".\n\nAction: \"LookupSong\"\nAction Input: {\"genre\": \"Jazz\"}\n\nAction: \"PlaySong\"\nAction Input: {\"song_name\": \"LookupSong.song_name\", \"playback_device\": \"TV\"}"}
33 | {"id": "S-M_33", "model": "gpt4", "response": "Thought: Firstly, the user wants to find a dentist that offers cosmetic services in New York. Then, to book an appointment with the found dentist. After successfully booking the appointment, the user would like to save the dentist's phone number into their contact list. Additionally, the user provided their account number and wants to check the remaining balance, transfer all the balance to their savings account, and view recent transactions. Hence, the APIs to be used sequentially are FindProvider, BookAppointment, add_new_contact, get_account_balance, transfer_funds, and get_recent_transactions.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\", \"offers_cosmetic_services\": true}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_date\": \"2024-12-15\", \"appointment_time\": \"14:00\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"BookAppointment.dentist_name\", \"phone_number\": \"BookAppointment.phone_number\"}\n\nAction: \"get_account_balance\"\nAction Input: {\"account_number\": \"12843272323\"}\n\nAction: \"transfer_funds\"\nAction Input: {\"account_number\": \"12843272323\", \"source_account\": \"checking\", \"destination_account\": \"savings\", \"amount\": \"get_account_balance.balance\", \"transfer_speed\": \"now\"}\n\nAction: \"get_recent_transactions\"\nAction Input: {\"account_number\": \"12843272323\"}"}
34 | {"id": "S-M_39", "model": "gpt4", "response": "Thought: The user wants to set an alarm at 07:00 AM with a label \"Morning Workout\". And then, the user wants to change the alarm's sound to \"Bird Chirping\". This involves two steps. The first step is to set the alarm using the 'set_alarm' API. The second step is to change the alarm sound using the 'change_alarm_sound' API.\n\nAction: \"set_alarm\"\nAction Input: {\"time\": \"07:00\", \"label\": \"Morning Workout\"}\n\nAction: \"change_alarm_sound\"\nAction Input: {\"time\": \"07:00\", \"label\": \"Morning Workout\", \"sound\": \"Bird Chirping\"}"}
35 | {"id": "S-M_35", "model": "gpt4", "response": "Thought: The user's request can be handled in two parts. First, they're asking about Shakespearean plays taking place in New York. For this, we need to call the \"FindEvents\" API. As for the second part of the request, the user wants to send the location of the event to their friend Jack, for this we can use \"ShareLocation\" API. The term 'switched' appears to be referring to a creative work, so we can use the \"SearchCreativeWork\" API.\n \nAction: \"FindEvents\"\nAction Input: {\"event_type\":\"play\",\"city\":\"New York\"} \n\n*After getting the result from the \"FindEvents\" API, we use the obtained venue_address to call \"ShareLocation\" API. \n\nAction: \"ShareLocation\"\nAction Input: {\"location\": \"FindEvents.venue_address\", \"contact_name\": \"Jack\"}\n\nAction: \"SearchCreativeWork\"\nAction Input: {\"object_name\": \"switched\"} \n"}
36 | {"id": "S-M_27", "model": "gpt4", "response": "Thought: The user's request contains multiple tasks. The first one is to find a dentist in New York. This means that the \"FindProvider\" API will be called with \"city\" as \"New York\". Once the dentist information is obtained, the next step is to book an appointment using the \"BookAppointment\" API. The input parameters will be the name of the dentist obtained from the first API, and the requested time and date. After making an appointment with the dentist, the user also wants to add the dentist's phone number to his contact list. Therefore, the \"add_new_contact\" API should be called, with the dentist's name and phone number obtained from the first API as inputs. The fourth request from the user is to give a rating of 2 stars out of 6 to the book 36 Children, which implies the use of \"RateBook\" API. The fifth request involves playing music at 7 pm, indicating the 'PlayMusic' API should be used, and the last one is to search for screening events with 'SearchScreeningEvent' API.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\"}\n\n# Dentist information returned from the FindProvider API will be needed for the next actions.\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.return_parameter.dentist_name\", \"appointment_time\": \"10:00\", \"appointment_date\": \"2024-02-02\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"FindProvider.return_parameter.dentist_name\", \"phone_number\": \"FindProvider.return_parameter.phone_number\"}\n\nAction: \"RateBook\"\nAction Input: {\"rating_value\": \"2\", \"object_name\": \"36 Children\", \"best_rating\": \"6\"}\n\nAction: \"PlayMusic\"\nAction Input: {\"object_type\": \"song\", \"timeRange\": \"19:00\"}\n\nAction: \"SearchScreeningEvent\"\nAction Input: {}\n# For the last request, I don't have enough information from user input, so I will call the API without providing additional parameters."}
37 | {"id": "S-M_32", "model": "gpt4", "response": "Thought: The user request involves several tasks involving different APIs. Firstly, the user wants to find a dentist in New York who offers cosmetic services and book an appointment, which we'll use the 'FindProvider' and 'BookAppointment' APIs for. Secondly, they want to save the new contact, which needs the 'add_new_contact' API. Then, they need to check late fees and make payment for library card 123456, for this we'll call the 'get_late_fees' and 'make_payment' APIs. Lastly, they need to check if a book 'To Kill a Mockingbird' is available, requiring the 'get_book_status' API.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\", \"offers_cosmetic_services\": true}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_time\": \"14:00\", \"appointment_date\": \"2024-12-15\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"FindProvider.dentist_name\", \"phone_number\": \"FindProvider.phone_number\"}\n\nAction: \"get_late_fees\"\nAction Input: {\"library_ID\": 123456}\n\nAction: \"make_payment\"\nAction Input: {\"account_number\": \"123456\", \"payment_amount\": \"get_late_fees.late_fees\", \"payment_method\": \"Visa\"}\n\nAction: \"get_book_status\"\nAction Input: {\"book_title\": \"To Kill a Mockingbird\"}"}
38 | {"id": "S-M_34", "model": "gpt4", "response": "Thought: The user is requesting to book a dental appointment with Dr. Williams and also set a reminder 2 hours before the appointment. Moreover, the user is also looking to book a restaurant with specified condition and play music presumably at the restaurant. \n\nThis can be done by first using the \"BookAppointment\" API to book a dental appointment and then using \"set_appointment_reminder\" API to set a reminder. Meanwhile, we also need to utilize \"BookRestaurant\" API to make a reservation and finally \"PlayMusic\" function to start playing according to user's preference. \n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"Dr. Williams\", \"appointment_time\": \"15:00\", \"appointment_date\": \"2024-09-15\"}\n\nAction: \"set_appointment_reminder\"\nAction Input: {\"appointment_name\": \"Dental check-up with Dr. Williams\", \"appointment_date\": \"2024-09-15\", \"appointment_time\": \"15:00\", \"reminder_time\": \"2 hours before\"}\n\nAction: \"BookRestaurant\"\nAction Input: {\"cuisine\": \"souvlaki\", \"state\": \"ne\"}\n\nAction: \"PlayMusic\"\nAction Input: {\"playlist\": \"i do\", \"time_range\": \"19:00\"}"}
39 | {"id": "S-M_40", "model": "gpt4", "response": "Thought: The user intends to find a cosmetic dentist in New York, book an appointment, and add the dentist's contact details to their contacts list. This will require a series of API calls: first, to the \"FindProvider\" API to locate a dentist, then to \"BookAppointment\" to schedule an appointment, and finally to \"add_new_contact\" to save the dentist's information.\n\nAction: \"FindProvider\"\nAction Input: {\n \"city\": \"New York\",\n \"offers_cosmetic_services\": true\n}\n\nAction: \"BookAppointment\"\nAction Input: {\n \"dentist_name\": \"FindProvider.dentist_name\",\n \"appointment_time\": \"14:00\",\n \"appointment_date\": \"2024-12-15\"\n}\n\nAction: \"add_new_contact\"\nAction Input: {\n \"contact_name\": \"BookAppointment.dentist_name\",\n \"phone_number\": \"BookAppointment.phone_number\"\n}"}
40 | {"id": "S-M_38", "model": "gpt4", "response": "Thought: The user wants to find a dentist in San Francisco that offers cosmetic services, book an appointment, add the dentist to their contacts, and set a reminder for the appointment. All these requests can be fulfilled by calling our APIs. The \"FindProvider\" API can be used to find a dentist, the \"BookAppointment\" API to book an appointment, the \"add_new_contact\" API to add the dentist to the user's contact list, and the \"set_appointment_reminder\" API to establish a reminder for the appointment.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"San Francisco\", \"offers_cosmetic_services\": true}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_time\": \"10:00\", \"appointment_date\": \"2024-02-09\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"BookAppointment.dentist_name\", \"phone_number\": \"BookAppointment.phone_number\"}\n\nAction:\"set_appointment_reminder\"\nAction Input: {\"appointment_name\": \"Dental appointment\", \"appointment_date\": \"2024-02-09\", \"appointment_time\": \"10:00\", \"appointment_address\": \"BookAppointment.address\", \"reminder_time\": \"2 hours before\"}"}
41 | {"id": "S-M_41", "model": "gpt4", "response": "Thought: The user has two intentions. Firstly, they want to set up an appointment with a dentist who provides cosmetic services in Los Angeles on a specific date and time. To meet this requirement, we can call the \"FindProvider\" API to find a dentist and then call the \"BookAppointment\" API to book the appointment. Secondly, they want a reminder set for this appointment. We can satisfy this by calling the \"set_appointment_reminder\" API.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"Los Angeles\", \"offers_cosmetic_services\": true}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_time\": \"14:00\", \"appointment_date\": \"2024-06-15\"}\n\nAction: \"set_appointment_reminder\"\nAction Input: {\"appointment_name\": \"Dentist Appointment\", \"appointment_date\": \"2024-06-15\", \"appointment_time\": \"14:00\", \"reminder_time\": \"2 hours before\", \"appointment_address\": \"BookAppointment.address\"}"}
42 | {"id": "S-M_44", "model": "gpt4", "response": "Thought: \nThe user wants to find a concert in New York and then share this location with his friend, Alex. There are two major steps: 1) to use the \"FindEvents\" API to find the concert and its location, and 2) to use the \"ShareLocation\" API to send this location to Alex.\n\nAction: FindEvents\nAction Input: \n{\n \"event_type\": \"concert\",\n \"city\": \"New York\"\n}\n\nAction: ShareLocation\nAction Input: \n{\n \"location\": \"FindEvents.venue_address\",\n \"contact_name\": \"Alex\"\n}"}
43 | {"id": "S-M_47", "model": "gpt4", "response": "Thought: The user's request involves finding a specialty doctor in a specific location, scheduling an appointment, and then adding the resulting contact information to their contact list. For the first part, we can use the FindProvider API. Once we've found a provider, we can use the BookAppointment API, and for the last bit, the add_new_contact API can be used.\n\nAction: FindProvider\nAction Input: {\"city\": \"Cincinnati\", \"type\": \"cardiology\"}\n\nAction: BookAppointment\nAction Input: {\"doctor_name\": \"FindProvider.doctor_name\", \"appointment_date\": \"2024-02-05\", \"appointment_time\": \"09:30\"}\n\nAction: add_new_contact\nAction Input: {\"contact_name\": \"BookAppointment.doctor_name\", \"phone_number\": \"BookAppointment.phone_number\"}"}
44 | {"id": "S-M_49", "model": "gpt4", "response": "Thought: The user wants to find an Italian restaurant in New York and share its location with John. This requires two steps. First, we need to find the restaurant. For that we should use the \"FindRestaurants\" API, using \"Italian\" as a category and \"New York\" as a location. Once we have the restaurant information, we should share it with John using the \"ShareLocation\" API.\n\nAction: \"FindRestaurants\"\nAction Input: {\"category\": \"Italian\", \"location\": \"New York\"}\n\nAction: \"ShareLocation\"\nAction Input: {\"location\": \"FindRestaurants.return_parameter_name\", \"contact_name\": \"John\"} \n\n(Note: \"FindRestaurants.return_parameter_name\" indicates that we will use the location of the restaurant found using the \"FindRestaurants\" API)"}
45 | {"id": "S-M_46", "model": "gpt4", "response": "Thought: The user wants to find a cardiologist in New York, book an appointment, and add the doctor's details to their contact list. To fulfill the user's request, I need to call the \"FindProvider\" API to find a cardiologist in New York first. With the doctor's name obtained, I will call \"BookAppointment\" API to book an appointment. Lastly, I will call the \"add_new_contact\" API to add the doctor to the user's contact list.\n\nAction: FindProvider\nAction Input: {\"city\": \"New York\", \"type\": \"cardiologist\"}\n\nAction: BookAppointment\nAction Input: {\"doctor_name\": \"FindProvider.doctor_name\", \"appointment_time\": \"11:00\", \"appointment_date\": \"2024-01-05\"}\n\nAction: add_new_contact\nAction Input: {\"contact_name\": \"FindProvider.doctor_name\", \"phone_number\": \"FindProvider.phone_number\"}"}
46 | {"id": "S-M_42", "model": "gpt4", "response": "Thought: The user wants to find a dentist in NYC that offers cosmetic dentistry, book an appointment, and set a reminder for the appointment. \n\nI'd need to call three APIs for this request: \n1. \"FindProvider\" to find a dentist that meets the user's requirements, \n2. \"BookAppointment\" to book the appointment, and\n3. \"set_appointment_reminder\" to set the reminder. \n\nThere are also dependency between these APIs where output from one API is needed as input for the next API.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York City\", \"offers_cosmetic_services\": true}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_time\": \"15:00\", \"appointment_date\": \"2024-06-15\"}\n\nAction: \"set_appointment_reminder\"\nAction Input: {\"appointment_name\": \"Dentist appointment\", \"appointment_date\": \"2024-06-15\", \"appointment_time\": \"15:00\", \"appointment_address\": \"BookAppointment.address\", \"reminder_time\": \"2 hours before\"}"}
47 | {"id": "S-M_37", "model": "gpt4", "response": "Thought: The user's request involves several distinct steps: (1) identifying a dentist in New York who provides cosmetic services, (2) booking an appointment with that dentist, (3) adding the dentist's phone number to the user's contact list, and (4) setting a reminder for the appointment. The order of these steps is crucial, as obtaining contact information and booking an appointment must occur before adding the phone number to the contact list or setting the reminder.\n\nFirst, I would use the \"FindProvider\" API to identify a dentist in New York who offers cosmetic services. The return value from that call should include both the dentist's name and phone number. \n\nNext, I would use the \"BookAppointment\" API to secure the requested appointment with the identified dentist. However, it's possible that this dentist is not available at the requested time. \n\nThen, I will use \"add_new_contact\" API to add the dentist's contact to the user's contact list. \n\nFinally, I would use the \"set_appointment_reminder\" API to set a reminder for this appointment, using the appointment details from the BookAppointment API as inputs. \n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\", \"offers_cosmetic_services\": true}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_time\": \"14:00\", \"appointment_date\": \"2024-05-05\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"FindProvider.dentist_name\", \"phone_number\": \"FindProvider.phone_number\"}\n\nAction: \"set_appointment_reminder\"\nAction Input: {\"appointment_name\": \"Dentist appointment\", \"appointment_date\": \"2024-05-05\", \"appointment_time\": \"14:00\", \"appointment_address\": \"BookAppointment.address\", \"reminder_time\": \"2 hours before\"}"}
48 | {"id": "S-M_50", "model": "gpt4", "response": "Thought: The user wants to find a pop song and then set it as the sound for his 3pm alarm today. This requires two steps: first, to call LookupSong API to search for a pop song, and then to call set_alarm API to set the alarm with the song.\n\nAction: LookupSong\nAction Input: {\"genre\": \"pop\"}\n\nAfter getting the song, the next step is to set it as alarm sound at 3pm today.\n\nAction: set_alarm\nAction Input: {\"time\": \"15:00\", \"sound\": \"LookupSong.song_name\"}"}
49 | {"id": "S-M_48", "model": "gpt4", "response": "Thought: \nThe user wants to find a dermatologist in New York city, book an appointment, and save the contact information of the dermatologist. This involves: calling the \"FindProvider\" API to find the dermatologist, calling the \"BookAppointment\" API to arrange an appointment with the dermatologist and then, calling the \"add_new_contact\" API to save the contact information of the dermatologist into the user's contact list.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\", \"type\": \"Dermatologist\"}\n\nAction: \"BookAppointment\"\nAction Input: {\"doctor_name\": \"FindProvider.doctor_name\", \"appointment_time\": \"9:00\", \"appointment_date\": \"2024-04-23\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"BookAppointment.doctor_name\", \"phone_number\": \"BookAppointment.phone_number\", \"address\":\"BookAppointment.street_address\"}\n"}
50 | {"id": "S-M_45", "model": "gpt4", "response": "Thought: The user is asking for multiple actions here. First, the user wants to find a dentist in New York who offers cosmetic services. This can be achieved by calling the \"FindProvider\" API using the \"city\" parameter with value \"New York\" and the \"offers_cosmetic_services\" parameter with a boolean value \"True\". After obtaining the dentist's details, the user wants to book an appointment with the dentist. The \"BookAppointment\" API can be called with the parameters \"dentist_name\", \"appointment_time\", and \"appointment_date\" filled with the information provided by the user and the response from the \"FindProvider\" API. Finally, the user wants to save the dentist's information to his contact list. The relevant API for this task is \"add_new_contact\". The parameters needed are \"contact_name\", \"phone_number\" and \"address\".\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\", \"offers_cosmetic_services\": true}\n\nAction: \"BookAppointment\"\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_time\": \"10:00\", \"appointment_date\": \"2024-07-20\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"FindProvider.dentist_name\", \"phone_number\": \"FindProvider.phone_number\", \"address\": \"FindProvider.address\"}"}
51 | {"id": "S-M_51", "model": "gpt4", "response": "Thought: \n\nThe user is asking for two actions, one being to play a specific song - \"Let it be\" by The Beatles, and to set an alarm for 3 p.m today with the song as the alarm sound. There are available APIs that can perform these tasks, which are \"LookupSong\", \"PlaySong\", and \"set_alarm\". \n\nWe can first find and play the song using the \"LookupSong\" and \"PlaySong\" APIs. Then, we can set the alarm with \"set_alarm\". Since the HTTP requests are stateless and we cannot directly use the result from one API to another. I will not provide the Action Input for setting the song as the alarm sound.\n\nAction: LookupSong\nAction Input: {\n \"artist\": \"The Beatles\", \n \"song_name\": \"Let it be\"\n}\n\nAction: PlaySong\nAction Input: {\n \"artist\": \"The Beatles\", \n \"song_name\": \"Let it be\"\n}\n\nAction: set_alarm\nAction Input: {\n \"time\": \"15:00\" \n}\n \n"}
52 | {"id": "S-M_43", "model": "gpt4", "response": "Thought: The user wants to find a dentist in New York who offers cosmetic services, book an appointment, and set a reminder for the appointment. For these tasks, we need to call the \"FindProvider\", \"BookAppointment\", and \"set_appointment_reminder\" APIs respectively. \n\nFirst, we will call the \"FindProvider\" API with 'New York' as the city and the option for cosmetic services. This will result in a list of dentists who meet the criteria. \n\nNext, we'll call the \"BookAppointment\" API with the name of one of the dentists from the first API call, along with the desired appointment date and time provided by the user.\n\nFinally, we'll call \"set_appointment_reminder\" API to set reminder for the booked appointment as requested by the user 2 hours before the appointment.\n\nAction: FindProvider\nAction Input: {\n \"city\": \"New York\",\n \"offers_cosmetic_services\": true\n }\n\nAction: BookAppointment\nAction Input: {\n \"dentist_name\": \"FindProvider.dentist_name\",\n \"appointment_date\": \"2024-03-15\",\n \"appointment_time\": \"10:30\" \n }\n\nAction: set_appointment_reminder\nAction Input: {\n \"appointment_name\": \"Dentist appointment\",\n \"appointment_date\": \"2024-03-15\",\n \"appointment_time\": \"10:30\",\n \"appointment_address\": \"BookAppointment.address\",\n \"reminder_time\": \"2 hours before\"\n }\n"}
53 | {"id": "S-M_52", "model": "gpt4", "response": "Thought: First, the user wants to check their balance on a specified account, so I need to call \"get_account_balance\". Then, the user wants to transfer all the balance to their friend, John. For that, I'd need to firstly transfer the funds from user's account to John's via \"transfer_funds\" API, and finally send the money to John through \"MakePayment\" API. \n\nAction: \"get_account_balance\"\nAction Input: {\"account_number\": \"12345678\"}\n\nAction: \"transfer_funds\"\nAction Input: {\"account_number\": \"12345678\", \"source_account\": \"get_account_balance.balance\", \"destination_account\": \"12132131\", \"amount\": \"get_account_balance.balance\", \"transfer_speed\": \"now\"}\n\nAction: \"MakePayment\"\nAction Input: {\"payment_method\": \"transfer\", \"amount\": \"transfer_funds.amount\", \"receiver\": \"John\"}"}
54 | {"id": "S-M_56", "model": "gpt4", "response": "Thought: The user wants to achieve two tasks. First, they want to know the details of the alarm that is set to sound at 07:00 AM tomorrow. Second, they want to set a new alarm for 03:00 PM this afternoon with the same sound as the 07:00 AM alarm but with vibration level set at 2. To satisfy the user's request, I will need to call two APIs. First, I will call \"get_alarm\" to retrieve the details of the 07:00 AM alarm. Second, I will call \"set_alarm\" to set a new alarm at 03:00 PM using the sound retrieved from the \"get_alarm\" API call and with vibration level set at 2. \n\nAction: \"get_alarm\"\nAction Input: {\"time\": \"07:00\", \"recurrence\": [\"2024-01-05\"]}\n\nAction: \"set_alarm\"\nAction Input: {\"time\": \"15:00\", \"recurrence\": [\"2024-01-04\"], \"sound\": \"get_alarm.return_parameter_sound\", \"vibrate\": 2}"}
55 | {"id": "S-M_54", "model": "gpt4", "response": "Thought: The user wants to become a member of the library in San Francisco and intends to borrow the book \"To Kill a Mockingbird.\" I need firstly to make the user apply for membership. Then I should check the availability of the desired book. Considering that the user may not have permission to borrow books without a membership, I will first call the \"apply_for_membership\" API, then the \"get_book_status\" API. If the book is available, then I need to call the \"reserve_book\" API, if not, I should inform the user directly.\n\nAction: \"apply_for_membership\"\nAction Input: {\"city_of_residence\": \"San Francisco\"}\n\nThought: Here I need to wait for the membership application result to get the library card number which is required for borrowing books. If the application is successful, I can proceed with book operations.\n\nAction: \"get_book_status\"\nAction Input: {\"book_title\": \"To Kill a Mockingbird\"}\n\nThought: Depending on the \"get_book_status\" API result, If the book status is \"in stock,\" proceed with \"reserve_book\". If it's not \"in stock,\" inform the user that the book is not currently available to borrow.\n\nAction: \"reserve_book\"\nAction Input: {\"book_title\": \"To Kill a Mockingbird\", \"card_number\": \"apply_for_membership.membership_card_number\"}\n\nThought: The parameter \"card_number\" here would be the return value from \"apply_for_membership\" API. The instruction \"apply_for_membership.membership_card_number\" is a placeholder to demonstrate the flow and interaction among different APIs. The real card number will be applied after the user gets the membership."}
56 | {"id": "S-M_59", "model": "gpt4", "response": "Thought: The user is asking to know the date of the appointment with the name \"ABC\" and set an alarm for that day at 6:00 AM. To find the appointment, I will use the get_user_appointments API using \"ABC\" as the name parameter. After I get the appointment date, I will use the set_alarm API to set an alarm at 6:00 AM on the day of the appointment.\n\nAction: get_user_appointments\nAction Input: {\"name\": \"ABC\"}\n\nAction: set_alarm\nAction Input: {\"time\": \"06:00\", \"recurrence\": [\"get_user_appointments.appointment_date\"], \"label\": \"Appointment\"}"}
57 | {"id": "S-M_58", "model": "gpt4", "response": "Thought: The user wants to check for any late fees tied to their library card, pay those fees, and check the availability of a particular book. To meet these needs, I need to call the 'get_late_fees', 'make_payment', and 'get_book_status' APIs. The 'get_late_fees' API will be used first to calculate the late fees. Then, the 'make_payment' API will be used to settle these fees. Finally, I will use the 'get_book_status' API to check if 'To Kill a Mockingbird' is available at the library.\n\nAction: \"get_late_fees\"\nAction Input: {\"library_ID\": 123456}\n\nAction: \"make_payment\"\nAction Input: {\"account_number\": \"123456\", \"payment_method\": \"Visa card\", \"payment_amount\": \"get_late_fees.late_fees\"}\n\nAction: \"get_book_status\"\nAction Input: {\"book_title\": \"To Kill a Mockingbird\"}"}
58 | {"id": "S-M_57", "model": "gpt4", "response": "Thought: The user wants to accomplish three tasks. First, he wants to check his late fees. Second, he wants to pay those fees. Lastly, he intends to reserve a book. As such, I have to sequentially call three APIs: get_late_fees, make_payment, and reserve_book. \n\nAction: get_late_fees\nAction Input: {\"library_ID\": \"Akf47sef456dwd\"}\n\nThought: I will use the returned value of the late_fees as a parameter for the next API call, which is the make_payment API. \n\nAction: make_payment\nAction Input: {\"account_number\": \"Akf47sef456dwd\", \"payment_amount\": \"get_late_fees.late_fees\", \"payment_method\": \"Visa card\"}\n\nThought: Furthermore, once the late fees have been paid, I will proceed to reserve the book 'A Series of Unfortunate Events' using the reserve_book API.\n\nAction: reserve_book\nAction Input: {\"book_title\": \"A Series of Unfortunate Events\", \"card_number\": \"Akf47sef456dwd\"}"}
59 | {"id": "S-M_60", "model": "gpt4", "response": "Thought: The user expressed the following intents: 1. Open a new library account (new membership). 2. Check the availability of the book \"Life of Pi\". 3. Reserve the book \"Life of Pi\" if it is available. To accomplish this, I will need to call the following APIs in order: apply_for_membership, get_book_status, reserve_book.\n\nAction: \"apply_for_membership\"\nAction Input: {\"city_of_residence\": \"New York\"}\n\nAction: \"get_book_status\"\nAction Input: {\"book_title\": \"Life of Pi\"}\n\nAction: \"reserve_book\"\nAction Input: {\"book_title\": \"Life of Pi\", \"card_number\": \"apply_for_membership.membership_number\"}"}
60 | {"id": "S-M_53", "model": "gpt4", "response": "Thought: The user wants to know the details of the 8am alarm set for tomorrow and also wants to set a new alarm for 4pm today. The new alarm should have the same sound as the first alarm and vibrate at level 2. Firstly, I need to get the details of the 8am alarm using the \"get_alarm\" API. I do not need to provide any optional parameters because only the existing alarm's time is mentioned. The details of the 8am alarm are needed for getting the sound setting, which will then be used to set the new alarm. After retrieving the details of the first alarm, I'll use the \"set_alarm\" API to create a new one at 4pm today. For this API call, I'll provide the time, sound (as per the user's request), and the vibration intensity, which is set to level 2.\n\nAction: \"get_alarm\"\nAction Input: {\"time\": \"08:00\"}\n\nAction: \"set_alarm\"\nAction Input: {\"time\": \"16:00\", \"sound\": \"get_alarm.alarm_details.sound\", \"vibrate\": 2}"}
61 | {"id": "S-M_55", "model": "gpt4", "response": "Thought: The user wants to know the sound used for their 6:00 AM alarm and also wants to hear it. I need to first call the \"get_alarm\" API to get the alarm details which include the alarm sound. Then, I can call the \"PlaySong\" API to play the sound. The sound name from the \"get_alarm\" API's response will be used in the \"PlaySong\" API's request.\n\nAction: \"get_alarm\"\nAction Input: {\"time\": \"06:00\"}\n\nAfter getting the data about the alarm at 6:00 AM, I can use the sound data to play the song.\n\nAction: \"PlaySong\"\nAction Input: {\"song_name\": \"get_alarm.sound\"}"}
62 | {"id": "S-M_61", "model": "gpt4", "response": "Thought: The user wants to know the date and time of their upcoming appointment named \"Business Trip to San Francisco\" and find a one-way flight from New York to San Francisco on the same day. I need to first use the \"get_user_appointments\" API to find out the details of the appointment, and then, after knowing the date of the appointment, I will use the \"SearchOnewayFlight\" API to find flight information.\n\nAction: \"get_user_appointments\"\nAction Input: {\"name\": \"Business Trip to San Francisco\"}\n\nAction: \"SearchOnewayFlight\"\nAction Input: {\"origin_city\": \"New York\", \"destination_city\": \"San Francisco\", \"departure_date\": \"get_user_appointments.appointment_date\"}"}
63 | {"id": "S-M_62", "model": "gpt4", "response": "Thought: From the user intent, it seems like they want to know the details of their doctor's appointment. For this, we need to call the \"get_user_appointments\" API to retrieve the respective appointment details. After getting that information, the user also wants to search for a one-way flight. For this, we will call the \"SearchOnewayFlight\" API.\n\nAction: \"get_user_appointments\"\nAction Input: { \"name\": \"doctor\" }\n\nAssuming the API returns:\n{\"appointment_name\": \"doctor\", \"appointment_date\": \"2024-02-01\", \"appointment_time\": \"09:00:00\", \"appointment_address\": \"New York\"}\n\nThen based on the response, we know the date and time of the appointment. Now, we can call the flights API.\n\nAction: \"SearchOnewayFlight\"\nAction Input: { \"origin_city\": \"Los Angeles\", \"destination_city\": \"New York\", \"departure_date\": \"2024-02-01\", \"passengers\": \"1\" }\n"}
64 | {"id": "S-M_69", "model": "gpt4", "response": "Thought: The user wants to find a concert happening in New York and also wants to know the weather forecast for the day of that concert. To fulfil the user's request, I will need to call the `FindEvents` API first to find a concert in New York. Once we have the date of the concert, we can then call the `GetWeather` API to get the weather forecast for that date in New York.\n\nAction: FindEvents\nAction Input: {\"event_type\": \"concert\", \"city\": \"New York\"}\n\nAction: GetWeather\nAction Input: {\"city\": \"New York\", \"date\": \"FindEvents.date\"}"}
65 | {"id": "S-M_68", "model": "gpt4", "response": "Thought: The user wants to know the date of their \"Annual Business Conference\", and also wants to book a one-way flight to Los Angeles on that same date. To satisfy the user's request, I firstly need to call \"get_user_appointments\" API to check the date of the \"Annual Business Conference\". Then, based on the obtained date, I need to call \"SearchOnewayFlight\" API to find available flights. \n\nAction: get_user_appointments\nAction Input: {\"name\": \"Annual Business Conference\"}\n\nAction: SearchOnewayFlight\nAction Input: {\"origin_city\": \"New York\", \"destination_city\": \"Los Angeles\", \"departure_date\": \"get_user_appointments.appointment_date\"}"}
66 | {"id": "S-M_66", "model": "gpt4", "response": "Thought: The user wants to listen to a song by Queen, but doesn't specify which song. However, since we are expected to call an API, we can use the LookupSong API to find a song by Queen, then we can use the PlaySong API to play the song on TV.\n\nAction: \"LookupSong\"\nAction Input: {\"artist\": \"Queen\"}\n\nAfter obtaining the song from the LookupSong API, we can use the return parameter \"song_name\" to play the song.\n\nAction: \"PlaySong\"\nAction Input: {\"song_name\": \"LookupSong.song_name\", \"playback_device\": \"TV\"}"}
67 | {"id": "S-M_63", "model": "gpt4", "response": "Thought: The user wants a song from the 90s of the rock genre to be played on the TV. This request will require the use of two APIs: 'LookupSong' to find a song meeting these criteria, and then 'PlaySong' to play the identified song on the user's TV.\n\nAction: LookupSong\nAction Input: {\"genre\": \"rock\", \"year\": \"1990s\"}\n\nIf the above API call finds a song that matches the user's request, we can proceed to use the 'PlaySong' API to play the song on the TV.\n\nAction: PlaySong\nAction Input: {\"song_name\": \"LookupSong.song_name\", \"artist\": \"LookupSong.artist\", \"playback_device\": \"TV\"} \n\nHere, \"LookupSong.song_name\" and \"LookupSong.artist\" are placeholder values that stand for the actual song name and artist returned by the 'LookupSong' API."}
68 | {"id": "S-M_65", "model": "gpt4", "response": "Thought: \nThe user intent is to retrieve an appointment by username and then set an alarm. This process requires two API calls. First, we must use get_user_appointments API call to retrieve appointments for the particular username 'xxx'. Once we have the appointment date, we can then use set_alarm API to set the alarm at 8 AM on the appointment date. However, there seems to be some confusion here as it is not mentioned in the available APIs about fetching appointments by username. The 'get_user_appointments' API does not have a parameter for username. It can filter by date, name, type of appointment, and time range but not username 'xxx'. I will suppose the requirement as invalid here, due to insufficient information to proceed.\n\nSince we are unable to fulfill the user's request based on the available APIs and their parameters, there's no need to provide any information about API calls. \n\nThis response does not require any API calls.\n"}
69 | {"id": "S-M_67", "model": "gpt4", "response": "Thought: The user wants to find a unisex hair stylist in New York and book an appointment at 8:00AM on January 8th. After these requests, the user wants to add the stylist's contact information for future reference. Two API calls are required here. First, I will use the \"FindProvider\" API to find a stylist in New York who caters to both men and women. The details retrieved from that API call will then be used in the \"BookAppointment\" API call to book the appointment based on user's preferred date and time. Finally, I will use the \"add_new_contact\" API to store the stylist's contact information for future reference.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"New York\", \"is_unisex\": true}\n\nAction: \"BookAppointment\"\nAction Input: {\"stylist_name\": \"FindProvider.stylist_name\", \"appointment_date\": \"2024-01-08\", \"appointment_time\": \"08:00\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"BookAppointment.stylist_name\", \"phone_number\": \"BookAppointment.phone_number\", \"email\": \"\", \"address\": \"BookAppointment.street_address\"}"}
70 | {"id": "S-M_64", "model": "gpt4", "response": "Thought: \nThe user wants three actions performed: check the balance of their account, transfer the balance to their savings account, and then fetch the list of recent transactions. For this, three API calls are needed: get_account_balance, transfer_funds, and get_recent_transactions. The account_number for these actions could be extracted from the user's input (12843272323). In addition, the amount of money to be transferred, obtained from the get_account_balance API response, should be used as an input for the transfer_funds API call.\n\nAction: get_account_balance\nAction Input: {\"account_number\": \"12843272323\"}\n\nAction: transfer_funds\nAction Input: {\"account_number\": \"12843272323\", \"source_account\":\"checking\", \"destination_account\":\"savings\", \"amount\": \"get_account_balance.balance\", \"transfer_speed\": \"now\"}\n\nAction: get_recent_transactions\nAction Input: {\"account_number\": \"12843272323\"}"}
71 | {"id": "S-M_70", "model": "gpt4", "response": "Thought: The user wants to check their account balance, transfer all the money from their account (which we may assume is a checking account) to their savings account, and then review their recent transactions. The user has provided their account number. I need to call three APIs in this order: get_account_balance, transfer_funds, and get_recent_transactions.\n\nAction: \"get_account_balance\"\nAction Input: {\"account_number\": \"17528472632\"}\n\nAfter retrieving account balance, the assistant should now move available funds to the savings account:\n\nAction: \"transfer_funds\"\nAction Input: {\"account_number\": \"17528472632\", \"source_account\": \"checking\", \"destination_account\": \"savings\", \"amount\": \"get_account_balance.balance\", \"transfer_speed\": \"now\"}\n\nNote: Here, I assume that the user has a savings account in the same bank, and use the balance from the get_account_balance call to fill in the \"amount\" parameter.\n\nAfter transferring, the assistant should fetch the recent transactions:\n\nAction: \"get_recent_transactions\"\nAction Input: {\"account_number\": \"17528472632\"}"}
72 | {"id": "S-M_73", "model": "gpt4", "response": "Thought: The user is requesting to find an appointment called \"Go to swim\" in their schedule and wants to set an alarm at 3:00 PM. To meet their needs, we first need to use the \"get_user_appointments\" API to find out the appointment date, then we use the \"set_alarm\" API to set an alarm at 3:00 PM on that day.\n\nAction: \"get_user_appointments\"\nAction Input: {\"name\": \"Go to swim\"}\n\nAction: \"set_alarm\"\nAction Input: {\"time\": \"3:00 PM\", \"label\": \"Alarm for swimming\", \"recurrence\": [\"get_user_appointments.appointment_date\"]}"}
73 | {"id": "S-M_72", "model": "gpt4", "response": "Thought: The user wants to know the sound their alarm will make at 7:00 AM today, and wants to hear that sound as well. First, we need to call the 'get_alarm' API to get the details of the user's alarm at 7:00 AM. Then we can retrieve the 'sound' value from the returned alarm details. Next, we assume that the sound is a song, and we can call the 'LookupSong' API to find that sound's details. After the song details, play the sound using the 'PlaySong' API.\n\nAction: \"get_alarm\"\nAction Input: {\"time\": \"07:00\"}\n\nAction: \"LookupSong\"\nAction Input: {\"song_name\": \"get_alarm.sound\"}\n\nAction: \"PlaySong\"\nAction Input: {\"song_name\": \"LookupSong.song_name\"}"}
74 | {"id": "S-M_76", "model": "gpt4", "response": "Thought: The user is asking for two tasks. The first task is to find a dentist in San Francisco that offers cosmetic services. The second task is to book an appointment with the dentist that has been found on the 1st of May at 2pm. There are two APIs that can be used in this scenario: \n1- 'FindProvider' to find the dentist in San Francisco. \n2- 'BookAppointment' to book an appointment at the found dentist's office.\n\nAction: 'FindProvider'\nAction Input: {\"city\": \"San Francisco\", \"offers_cosmetic_services\": true}\n\nAction: 'BookAppointment'\nAction Input: {\"dentist_name\": \"FindProvider.dentist_name\", \"appointment_date\": \"2024-05-01\", \"appointment_time\": \"14:00\"}"}
75 | {"id": "S-M_75", "model": "gpt4", "response": "Thought: First, the user wants to find out the concerts happening in Los Angeles. For this, I can use the FindEvents API with the event_type as \"concert\" and the city as \"Los Angeles\". After retrieving the date of the concert, they also want me to book a one-way flight from San Francisco to Los Angeles on the day of the concert. So, I will then use the date from the FindEvents API response when calling the SearchOnewayFlight API to book the flight.\n\nAction: FindEvents\nAction Input: {\"event_type\": \"concert\", \"city\": \"Los Angeles\"}\n\nAction: SearchOnewayFlight\nAction Input: {\"origin_city\": \"San Francisco\", \"destination_city\": \"Los Angeles\", \"departure_date\": \"FindEvents.date\"}"}
76 | {"id": "S-M_71", "model": "gpt4", "response": "Thought: The user wants to know the details about a concert happening in New York and also want a one-way flight booked for the same date. I can call 'FindEvents' API to get the details about the concert in New York and then call 'SearchOnewayFlight' API to book flights on that date.\n\nAction: FindEvents\nAction Input: {\"event_type\": \"concert\", \"city\": \"New York\"}\n\nAction: SearchOnewayFlight\nAction Input: {\"origin_city\": \"Los Angeles\", \"destination_city\": \"New York\", \"departure_date\": \"FindEvents.date\"}"}
77 | {"id": "S-M_78", "model": "gpt4", "response": "Thought: The user wants to find out the date of his dentist appointment and also a one-way flight on the same day from New York to San Francisco. To fulfil this, I will first need to call the 'get_user_appointments' API to retrieve the appointment date, and then the 'SearchOnewayFlight' API to find a one-way flight.\n\nAction: get_user_appointments\nAction Input: {\"name\": \"Dentist\"}\n\nAction: SearchOnewayFlight\nAction Input: {\"origin_city\": \"New York\", \"destination_city\": \"San Francisco\", \"departure_date\": \"get_user_appointments.appointment_date\"}"}
78 | {"id": "S-M_79", "model": "gpt4", "response": "Thought: The user wants to find an Indian restaurant in New York and share its location with a friend named Jessica. This requires two API calls. First, we'll use the \"FindRestaurants\" API to find the Indian restaurant in New York. Then, we'll use the \"ShareLocation\" API to send the location of the restaurant to Jessica.\n\nAction: \"FindRestaurants\"\nAction Input: {\"category\": \"Indian\", \"location\": \"New York\"}\n\nNext, depending on the output of the \"FindRestaurants\" API, we'll take the returned 'location' parameter and use that as an input for the \"ShareLocation\" API.\n\nAction: \"ShareLocation\"\nAction Input: {\"location\": \"FindRestaurants.location\", \"contact_name\": \"Jessica\"}"}
79 | {"id": "S-M_80", "model": "gpt4", "response": "Thought: The user wants to search for a song by John Lennon and set it as the alarm sound for the alarm that's set for 3 p.m. today. To do this task, I'll need to call two APIs: the 'LookupSong' API to search for a song by John Lennon, and the 'change_alarm_sound' API to set the returned song as the alarm sound for the 3 p.m. alarm.\n\nAction: LookupSong\nAction Input: {\"artist\": \"John Lennon\"}\n\nThen, I will use the 'song_name' returned by the 'LookupSong' API to call the 'change_alarm_sound' API.\n \nAction: change_alarm_sound\nAction Input: {\"time\": \"15:00\", \"sound\": \"LookupSong.song_name\"}"}
80 | {"id": "S-M_77", "model": "gpt4", "response": "Thought: The user wants to find a Chinese restaurant in New York and share its address with their friend Bob. The action requires us to call two APIs. Firstly, we need to find restaurants using the \"FindRestaurants\" API with the category as \"Chinese\" and location as \"New York\". This will give us the restaurant information, including its address. Subsequently, we should call \"ShareLocation\" API to send this location to the contact Bob.\n\nAction: \"FindRestaurants\"\nAction Input: {\"category\": \"Chinese\", \"location\": \"New York\"}\n\nAction: \"ShareLocation\"\nAction Input: {\"location\": \"FindRestaurants.address\", \"contact_name\": \"Bob\"}"}
81 | {"id": "S-M_81", "model": "gpt4", "response": "Thought: The user wants to find a song by Taylor Swift and set it as an alarm tune for an alarm at 3 p.m. today. \n\nThe first part of the user's request can be satisfied by calling the \"LookupSong\" API with \"artist\" as \"Taylor Swift\". \n\nAfter we find a song, setting a new alarm with this song can be achieved by the \"set_alarm\" API where time is \"15:00\" and sound is the song name we get from the previous API call. \n\nAction: \"LookupSong\"\nAction Input: {\"artist\": \"Taylor Swift\"}\n\nAction: \"set_alarm\"\nAction Input: {\"time\": \"15:00\", \"sound\": \"LookupSong.song_name\"}"}
82 | {"id": "S-M_82", "model": "gpt4", "response": "Thought: The user wants to find a doctor based in Toronto with a specialty in Dermatology and then add this doctor's contact information to their contact list. We'll need to use two APIs to fulfil this request. Firstly, we'll use the \"FindProvider\" API to locate a suitable doctor. Once we have the doctor's details, we will use the \"add_new_contact\" API to add the doctor's details to the user's contact list.\n\nAction: \"FindProvider\"\nAction Input: {\"city\": \"Toronto\", \"type\": \"Dermatology\"}\n\nAction: \"add_new_contact\"\nAction Input: {\"contact_name\": \"FindProvider.doctor_name\", \"phone_number\": \"FindProvider.phone_number\", \"address\": \"FindProvider.street_address\"}"}
83 | {"id": "S-M_86", "model": "gpt4", "response": "Thought: The user asked for the alarm tone of the alarm set for 07:00 today and wants me to play the sound. I should first call the \"get_alarm\" API to get the details about the requested alarm. After receiving the alarm details, including the sound, I need to use the \"PlaySong\" API to play the song with that sound. Since the user didn't specify which device to play the sound from, I will use the default device.\n\nAction: \"get_alarm\"\nAction Input: {\"time\": \"07:00\"}\nAction: \"PlaySong\"\nAction Input: {\"song_name\":\"get_alarm.sound\"}"}
84 | {"id": "S-M_87", "model": "gpt4", "response": "Thought: The user wants to book a restaurant serving Souvlaki cuisine in the state of Nebraska and also wants to know whether it'll rain at 7 PM. This requires two API call, one to \"BookRestaurant\" and another to \"GetWeather\".\n\nAction: \"BookRestaurant\"\nAction Input: {\n \"cuisine\": \"souvlaki\",\n \"state\": \"ne\"\n}\n\nAction: \"GetWeather\"\nAction Input: {\n \"state\": \"ne\",\n \"timeRange\": \"7 pm\"\n}"}
85 | {"id": "S-M_88", "model": "gpt4", "response": "Thought: The user wants to add a song to a playlist and also rate a book. Therefore, two APIs need to be called. The \"AddToPlaylist\" API can be used to add a song to a playlist and the \"RateBook\" API can be used to rate the book.\n\nAction: \"AddToPlaylist\"\nAction Input: {\"playlist\": \"jukebox boogie rhythm & blues\", \"artist\": \"an artist\"}\n\nAction: \"RateBook\"\nAction Input: {\"rating_value\": \"0\", \"object_name\": \"in the company of cheerful ladies\", \"best_rating\": \"6\"}"}
86 | {"id": "S-M_89", "model": "gpt4", "response": "Thought: The user wants to check the weather forecast for Nebraska, and also play a song by Rahsaan Patterson. We have APIs that can exactly satisfy the user's needs. The first API to be called would be GetWeather and the second API to be called would be PlayMusic.\n\nAction: GetWeather\nAction Input: {\"state\": \"Nebraska\"}\n\nAction: PlayMusic\nAction Input: {\"artist\": \"Rahsaan Patterson\"}"}
87 | {"id": "S-M_74", "model": "gpt4", "response": "Thought: The user intends to find a unisex hair stylist in New York and book an appointment for the next Friday at 2:00 PM. The user also wants to add the stylist's contact information to their address book. To accomplish this, we should first call the FindProvider API to find a stylist, then use the BookAppointment API to book the appointment, and finally call add_new_contact to add the stylist to the user's address book. \n\nAction: FindProvider\nAction Input: {\"city\": \"New York\", \"is_unisex\": true}\n\nAfter receiving the result from the FindProvider API (providing us with the stylist's name, phone number, and street address), we can use this information to book an appointment.\n\nAction: BookAppointment\nAction Input: {\"stylist_name\": \"FindProvider.stylist_name\", \"appointment_time\": \"14:00\", \"appointment_date\": \"2024-01-10\"}\n\nWe will get confirmation of the appointment from the return parameters of the BookAppointment API. Then, we use this information to add the stylist's contact to the user's address book.\n\nAction: add_new_contact\nAction Input: {\"contact_name\": \"BookAppointment.stylist_name\", \"phone_number\": \"BookAppointment.phone_number\", \"address\": \"BookAppointment.street_address\"}"}
88 | {"id": "S-M_84", "model": "gpt4", "response": "Thought: \nThe user wants a song by the Red Hot Chili Peppers to be found and played, followed by setting it as the alarm sound for their existing 3 p.m. alarm today. Three APIs need to be called to achieve this. First, I will use the LookupSong API to find the song by Red Hot Chili Peppers. The exact song name is unspecified, so the first returned song by the artist will be used. The PlaySong API will then be called to play this song. After the song has started playing, I will set the song as the alarm sound for their 3 p.m. alarm using the change_alarm_sound API.\n\nAction: LookupSong\nAction Input: {\"artist\": \"Red Hot Chili Peppers\"}\n\nAction: PlaySong\nAction Input: {\"song_name\": \"LookupSong.song_name\", \"artist\": \"LookupSong.artist\"}\n\nAction: change_alarm_sound\nAction Input: {\"time\": \"15:00\", \"recurrence\": [\"2024-01-04\"], \"sound\": \"LookupSong.song_name\"}"}
89 | {"id": "S-M_85", "model": "gpt4", "response": "Thought: The user wants to know the date of their dental appointment. Then based on that date, they want to find a one-way flight from New York to San Francisco. After landing, they wish to avail a rental car in San Francisco until January 19th. This involves calling three different APIs \u2013 get_user_appointments, SearchOnewayFlight and GetCarsAvailable. \n\nFirstly, use the get_user_appointments API to view the date and time of the dentist appointment. From the retrieved appointment date, use SearchOnewayFlight API to find a one-way flight from New York to San Francisco. Furthermore, use the GetCarsAvailable API to find available rental cars in San Francisco on the arrival day until January 19th. \n\nAction: get_user_appointments\nAction Input: {\"name\": \"dentist\"}\n\nAction: SearchOnewayFlight\nAction Input: {\"origin_city\": \"New York\", \"destination_city\": \"San Francisco\", \"departure_date\": \"get_user_appointments.appointment_date\"}\n\nAction: GetCarsAvailable\nAction Input: {\"pickup_city\": \"San Francisco\", \"pickup_date\": \"get_user_appointments.appointment_date\", \"pickup_time\": \"SearchOnewayFlight.outbound_arrival_time\", \"dropoff_date\": \"2024-01-19\"}"}
90 | {"id": "S-M_91", "model": "gpt4", "response": "Thought: The user has two requests: first, they want to know if it will be freezing today in Delaware and Lehigh National Heritage Corridor; second, they want to listen to something on YouTube. I need to call the GetWeather API to fulfill the first request, and the PlayMusic API for the second one. \n\nAction: GetWeather\nAction Input: {\"geographic_poi\": \"Delaware and Lehigh National Heritage Corridor\", \"current_location\": \"Delaware and Lehigh National Heritage Corridor\"}\n\nAction: PlayMusic\nAction Input: {\"service\": \"YouTube\"}"}
91 | {"id": "S-M_83", "model": "gpt4", "response": "Thought: The user wants to find a song from 2019 and set it as the sound for a 3 PM alarm. So, we need to first find a song from 2019 and then set it as the alarm sound.\n\nFirst, we will call the \"LookupSong\" API to find a song from 2019. After getting the song, we will use the \"get_alarm\" API to confirm that the user has a 3 PM alarm. If it exists, we can use the \"change_alarm_sound\" API to set the song as the new sound of the existing 3 PM alarm.\n\nAction: \"LookupSong\"\nAction Input: {\"year\": \"2019\"}\n\nAfter this, we will get the returned song name which we don't know at this point, but for writing purposes, let's assume the song name is \"song_name_2019\".\n\nAction: \"get_alarm\"\nAction Input: {\"time\": \"15:00\"}\n\nIf we confirm the existence of the alarm, we then proceed to change the alarm sound.\n\nAction: \"change_alarm_sound\"\nAction Input: {\"time\": \"15:00\", \"sound\": \"song_name_2019\"}\n\nRemember that the actual song name would be provided by the \"LookupSong\" API's return value. This plan is based on the assumptions that the APIs function as expected and that the user does have an alarm at 3 PM. If the APIs yield unexpected results or if the user doesn't have a pre-existing alarm, we may need to adjust our actions accordingly."}
92 | {"id": "S-M_92", "model": "gpt4", "response": "Thought: The user's request can be divided into three parts: adding a song to a playlist, searching for a novel, and searching for a screening event. Therefore, I need to call three different APIs: AddToPlaylist, SearchCreativeWork, and SearchScreeningEvent.\n\nAction: \"AddToPlaylist\"\nAction Input: {\"playlist\": \"masters of metal\", \"entity_name\": \"a very cellular song\"}\n\nAction: \"SearchCreativeWork\"\nAction Input: {\"object_name\": \"to lose my life \u2026\", \"object_type\": \"novel\"}\n\nAction: \"SearchScreeningEvent\"\nAction Input: {\"movie_name\": \"doa: dead or alive\", \"location_name\": \"loews cineplex entertainment\"}"}
93 | {"id": "S-M_93", "model": "gpt4", "response": "Thought: The user wants two separate actions here. Firstly, they are looking for a forecast for hotter weather conditions at Southford Falls State Park probably. Secondly, they want to listen to a symphony that was released in 2013. \n\nWe have two useful APIs for these purposes: \"PlayMusic\" and \"GetWeather\". I will call the \"GetWeather\" API first to fetch the weather forecast for Southford Falls State Park by specifying the geographical point of interest and condition description as 'hotter'. Then, I will call the \"PlayMusic\" API and specify the year as 2013 and genre as 'symphony' to play a symphony from that year. \n\nAction: \"GetWeather\"\nAction Input: {\"geographic_poi\": \"Southford Falls State Park\", \"condition_description\": \"hotter\"}\n\nAction: \"PlayMusic\"\nAction Input: {\"year\": \"2013\", \"genre\": \"symphony\"}"}
94 | {"id": "S-M_90", "model": "gpt4", "response": "Thought: The user is trying to accomplish two things: 1) Add music by the artist \"Adam Mitchel Lambert\" to a playlist called \"spotlight on country 2016\" and 2) Play songs by \"Les Vandyke\" on \"Slacker\" music service. For these actions, I need to call two APIs: \"AddToPlaylist\" and \"PlayMusic\". I've identified the input parameters to be: {\"playlist\": \"spotlight on country 2016\", \"artist\": \"Adam Mitchel Lambert\"} for the \"AddToPlaylist\" API, and {\"artist\": \"Les Vandyke\", \"service\": \"slacker\"} for the \"PlayMusic\" API.\n\nAction: \"AddToPlaylist\"\nAction Input: {\"playlist\": \"spotlight on country 2016\", \"artist\": \"Adam Mitchel Lambert\"}\n\nAction: \"PlayMusic\"\nAction Input: {\"artist\": \"les vandyke\", \"service\": \"slacker\"}"}
95 |
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