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rajsinghparihar commited on
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936b827
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1 Parent(s): 900795e

first iteration: flight search

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Files changed (4) hide show
  1. .gitignore +5 -0
  2. app.py +28 -4
  3. flight_results.json +1304 -0
  4. script.py +57 -0
.gitignore ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ .env
2
+ *.ipynb
3
+ *.pyc
4
+ __pycache__/
5
+ .json
app.py CHANGED
@@ -1,7 +1,31 @@
1
  import gradio as gr
 
 
 
 
2
 
3
- def greet(name):
4
- return "Hello " + name + "!!"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5
 
6
- demo = gr.Interface(fn=greet, inputs="text", outputs="text")
7
- demo.launch()
 
1
  import gradio as gr
2
+ import os
3
+ from dotenv import load_dotenv
4
+ import serpapi
5
+ load_dotenv()
6
 
7
+ def search_flights(departure_id: str, arrival_id: str, outbound_date: str, return_date: str, currency: str):
8
+ """
9
+ Uses Google Flights API to search for flights, giving price insights, best flights and airport information
10
+ params:
11
+ departure_id (str): The departure airport IATA code.
12
+ arrival_id (str): The arrival airport IATA code.
13
+ outbound_date (str): The outbound date in YYYY-MM-DD format.
14
+ return_date (str): The return date in YYYY-MM-DD format.
15
+ currency (str): The currency code.
16
+ """
17
+ params = {
18
+ "engine": "google_flights",
19
+ "departure_id": departure_id,
20
+ "arrival_id": arrival_id,
21
+ "outbound_date": outbound_date,
22
+ "return_date": return_date,
23
+ "currency": currency,
24
+ "hl": "en",
25
+ "api_key": os.getenv("SERP_API_KEY"),
26
+ }
27
+ result = serpapi.search(params)
28
+ return result.as_dict()
29
 
30
+ demo = gr.Interface(fn=search_flights, inputs=["text", "text", "text", "text", "text"], outputs=gr.JSON())
31
+ demo.launch(mcp_server=True)
flight_results.json ADDED
@@ -0,0 +1,1304 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "search_metadata": {
3
+ "id": "68473f85f680d18a1e536bee",
4
+ "status": "Success",
5
+ "json_endpoint": "https://serpapi.com/searches/47ff092a51a38c1e/68473f85f680d18a1e536bee.json",
6
+ "created_at": "2025-06-09 20:09:41 UTC",
7
+ "processed_at": "2025-06-09 20:09:41 UTC",
8
+ "google_flights_url": "https://www.google.com/travel/flights?hl=en&gl=us&curr=USD&tfs=CBwQAhoeEgoyMDI1LTA2LTEwagcIARIDUEVLcgcIARIDQVVTGh4SCjIwMjUtMDYtMTZqBwgBEgNBVVNyBwgBEgNQRUtCAQFIAXABmAEB&tfu=EgIIAQ",
9
+ "raw_html_file": "https://serpapi.com/searches/47ff092a51a38c1e/68473f85f680d18a1e536bee.html",
10
+ "prettify_html_file": "https://serpapi.com/searches/47ff092a51a38c1e/68473f85f680d18a1e536bee.prettify",
11
+ "total_time_taken": 0.58
12
+ },
13
+ "search_parameters": {
14
+ "engine": "google_flights",
15
+ "hl": "en",
16
+ "gl": "us",
17
+ "departure_id": "PEK",
18
+ "arrival_id": "AUS",
19
+ "outbound_date": "2025-06-10",
20
+ "return_date": "2025-06-16",
21
+ "currency": "USD"
22
+ },
23
+ "best_flights": [
24
+ {
25
+ "flights": [
26
+ {
27
+ "departure_airport": {
28
+ "name": "Beijing Capital International Airport",
29
+ "id": "PEK",
30
+ "time": "2025-06-10 17:25"
31
+ },
32
+ "arrival_airport": {
33
+ "name": "San Francisco International Airport",
34
+ "id": "SFO",
35
+ "time": "2025-06-10 14:20"
36
+ },
37
+ "duration": 715,
38
+ "airplane": "Boeing 777",
39
+ "airline": "United",
40
+ "airline_logo": "https://www.gstatic.com/flights/airline_logos/70px/UA.png",
41
+ "travel_class": "Economy",
42
+ "flight_number": "UA 889",
43
+ "legroom": "31 in",
44
+ "extensions": [
45
+ "Average legroom (31 in)",
46
+ "Wi-Fi for a fee",
47
+ "In-seat power & USB outlets",
48
+ "On-demand video",
49
+ "Carbon emissions estimate: 643 kg"
50
+ ],
51
+ "overnight": true,
52
+ "often_delayed_by_over_30_min": true
53
+ },
54
+ {
55
+ "departure_airport": {
56
+ "name": "San Francisco International Airport",
57
+ "id": "SFO",
58
+ "time": "2025-06-10 16:30"
59
+ },
60
+ "arrival_airport": {
61
+ "name": "Austin-Bergstrom International Airport",
62
+ "id": "AUS",
63
+ "time": "2025-06-10 22:11"
64
+ },
65
+ "duration": 221,
66
+ "airplane": "Airbus A319",
67
+ "airline": "United",
68
+ "airline_logo": "https://www.gstatic.com/flights/airline_logos/70px/UA.png",
69
+ "travel_class": "Economy",
70
+ "flight_number": "UA 2332",
71
+ "legroom": "30 in",
72
+ "extensions": [
73
+ "Average legroom (30 in)",
74
+ "Wi-Fi for a fee",
75
+ "In-seat power & USB outlets",
76
+ "Stream media to your device",
77
+ "Carbon emissions estimate: 242 kg"
78
+ ]
79
+ }
80
+ ],
81
+ "layovers": [
82
+ {
83
+ "duration": 130,
84
+ "name": "San Francisco International Airport",
85
+ "id": "SFO"
86
+ }
87
+ ],
88
+ "total_duration": 1066,
89
+ "carbon_emissions": {
90
+ "this_flight": 885000,
91
+ "typical_for_this_route": 978000,
92
+ "difference_percent": -10
93
+ },
94
+ "price": 1515,
95
+ "type": "Round trip",
96
+ "airline_logo": "https://www.gstatic.com/flights/airline_logos/70px/UA.png",
97
+ "departure_token": "WyJDalJJT1dZd2JHVkNhRlJ1UTFWQlFYTTVORkZDUnkwdExTMHRMUzB0ZG5kaVoyOHlNa0ZCUVVGQlIyaElVRFJWUzBGS1dFVkJFZ3hWUVRnNE9YeFZRVEl6TXpJYUN3aVlud2tRQWhvRFZWTkVPQnh3bUo4SiIsW1siUEVLIiwiMjAyNS0wNi0xMCIsIlNGTyIsbnVsbCwiVUEiLCI4ODkiXSxbIlNGTyIsIjIwMjUtMDYtMTAiLCJBVVMiLG51bGwsIlVBIiwiMjMzMiJdXV0="
98
+ },
99
+ {
100
+ "flights": [
101
+ {
102
+ "departure_airport": {
103
+ "name": "Beijing Capital International Airport",
104
+ "id": "PEK",
105
+ "time": "2025-06-10 08:20"
106
+ },
107
+ "arrival_airport": {
108
+ "name": "Haneda Airport",
109
+ "id": "HND",
110
+ "time": "2025-06-10 12:55"
111
+ },
112
+ "duration": 215,
113
+ "airplane": "Boeing 767",
114
+ "airline": "ANA",
115
+ "airline_logo": "https://www.gstatic.com/flights/airline_logos/70px/NH.png",
116
+ "travel_class": "Economy",
117
+ "flight_number": "NH 964",
118
+ "legroom": "31 in",
119
+ "extensions": [
120
+ "Average legroom (31 in)",
121
+ "In-seat power & USB outlets",
122
+ "On-demand video",
123
+ "Carbon emissions estimate: 215 kg"
124
+ ]
125
+ },
126
+ {
127
+ "departure_airport": {
128
+ "name": "Haneda Airport",
129
+ "id": "HND",
130
+ "time": "2025-06-10 15:50"
131
+ },
132
+ "arrival_airport": {
133
+ "name": "San Francisco International Airport",
134
+ "id": "SFO",
135
+ "time": "2025-06-10 09:45"
136
+ },
137
+ "duration": 595,
138
+ "airplane": "Boeing 777",
139
+ "airline": "United",
140
+ "airline_logo": "https://www.gstatic.com/flights/airline_logos/70px/UA.png",
141
+ "travel_class": "Economy",
142
+ "flight_number": "UA 876",
143
+ "ticket_also_sold_by": ["ANA"],
144
+ "legroom": "31 in",
145
+ "extensions": [
146
+ "Average legroom (31 in)",
147
+ "Wi-Fi for a fee",
148
+ "In-seat power & USB outlets",
149
+ "On-demand video",
150
+ "Carbon emissions estimate: 408 kg"
151
+ ],
152
+ "overnight": true
153
+ },
154
+ {
155
+ "departure_airport": {
156
+ "name": "San Francisco International Airport",
157
+ "id": "SFO",
158
+ "time": "2025-06-10 13:05"
159
+ },
160
+ "arrival_airport": {
161
+ "name": "Austin-Bergstrom International Airport",
162
+ "id": "AUS",
163
+ "time": "2025-06-10 18:46"
164
+ },
165
+ "duration": 221,
166
+ "airplane": "Airbus A320",
167
+ "airline": "United",
168
+ "airline_logo": "https://www.gstatic.com/flights/airline_logos/70px/UA.png",
169
+ "travel_class": "Economy",
170
+ "flight_number": "UA 1998",
171
+ "ticket_also_sold_by": ["ANA"],
172
+ "legroom": "30 in",
173
+ "extensions": [
174
+ "Average legroom (30 in)",
175
+ "Wi-Fi for a fee",
176
+ "In-seat power & USB outlets",
177
+ "Stream media to your device",
178
+ "Carbon emissions estimate: 228 kg"
179
+ ]
180
+ }
181
+ ],
182
+ "layovers": [
183
+ { "duration": 175, "name": "Haneda Airport", "id": "HND" },
184
+ {
185
+ "duration": 200,
186
+ "name": "San Francisco International Airport",
187
+ "id": "SFO"
188
+ }
189
+ ],
190
+ "total_duration": 1406,
191
+ "carbon_emissions": {
192
+ "this_flight": 853000,
193
+ "typical_for_this_route": 978000,
194
+ "difference_percent": -13
195
+ },
196
+ "price": 1781,
197
+ "type": "Round trip",
198
+ "airline_logo": "https://www.gstatic.com/flights/airline_logos/70px/multi.png",
199
+ "departure_token": "WyJDalJJT1dZd2JHVkNhRlJ1UTFWQlFYTTVORkZDUnkwdExTMHRMUzB0ZG5kaVoyOHlNa0ZCUVVGQlIyaElVRFJWUzBGS1dFVkJFaEpPU0RrMk5IeFZRVGczTm54VlFURTVPVGdhQ3dpTjd3b1FBaG9EVlZORU9CeHdqZThLIixbWyJQRUsiLCIyMDI1LTA2LTEwIiwiSE5EIixudWxsLCJOSCIsIjk2NCJdLFsiSE5EIiwiMjAyNS0wNi0xMCIsIlNGTyIsbnVsbCwiVUEiLCI4NzYiXSxbIlNGTyIsIjIwMjUtMDYtMTAiLCJBVVMiLG51bGwsIlVBIiwiMTk5OCJdXV0="
200
+ },
201
+ {
202
+ "flights": [
203
+ {
204
+ "departure_airport": {
205
+ "name": "Beijing Capital International Airport",
206
+ "id": "PEK",
207
+ "time": "2025-06-10 10:00"
208
+ },
209
+ "arrival_airport": {
210
+ "name": "Hong Kong International Airport",
211
+ "id": "HKG",
212
+ "time": "2025-06-10 13:50"
213
+ },
214
+ "duration": 230,
215
+ "airplane": "Airbus A330",
216
+ "airline": "Cathay Pacific",
217
+ "airline_logo": "https://www.gstatic.com/flights/airline_logos/70px/CX.png",
218
+ "travel_class": "Economy",
219
+ "flight_number": "CX 347",
220
+ "legroom": "31 in",
221
+ "extensions": [
222
+ "Average legroom (31 in)",
223
+ "In-seat power & USB outlets",
224
+ "On-demand video",
225
+ "Carbon emissions estimate: 138 kg"
226
+ ]
227
+ },
228
+ {
229
+ "departure_airport": {
230
+ "name": "Hong Kong International Airport",
231
+ "id": "HKG",
232
+ "time": "2025-06-10 16:05"
233
+ },
234
+ "arrival_airport": {
235
+ "name": "Dallas Fort Worth International Airport",
236
+ "id": "DFW",
237
+ "time": "2025-06-10 17:55"
238
+ },
239
+ "duration": 890,
240
+ "airplane": "Airbus A350",
241
+ "airline": "Cathay Pacific",
242
+ "airline_logo": "https://www.gstatic.com/flights/airline_logos/70px/CX.png",
243
+ "travel_class": "Economy",
244
+ "flight_number": "CX 876",
245
+ "legroom": "32 in",
246
+ "extensions": [
247
+ "Above average legroom (32 in)",
248
+ "Wi-Fi for a fee",
249
+ "In-seat power & USB outlets",
250
+ "On-demand video",
251
+ "Carbon emissions estimate: 675 kg"
252
+ ],
253
+ "overnight": true
254
+ },
255
+ {
256
+ "departure_airport": {
257
+ "name": "Dallas Fort Worth International Airport",
258
+ "id": "DFW",
259
+ "time": "2025-06-10 20:00"
260
+ },
261
+ "arrival_airport": {
262
+ "name": "Austin-Bergstrom International Airport",
263
+ "id": "AUS",
264
+ "time": "2025-06-10 21:00"
265
+ },
266
+ "duration": 60,
267
+ "airplane": "Boeing 737",
268
+ "airline": "American",
269
+ "airline_logo": "https://www.gstatic.com/flights/airline_logos/70px/AA.png",
270
+ "travel_class": "Economy",
271
+ "flight_number": "AA 2707",
272
+ "legroom": "30 in",
273
+ "extensions": [
274
+ "Average legroom (30 in)",
275
+ "Wi-Fi for a fee",
276
+ "In-seat power & USB outlets",
277
+ "Stream media to your device",
278
+ "Carbon emissions estimate: 52 kg"
279
+ ]
280
+ }
281
+ ],
282
+ "layovers": [
283
+ {
284
+ "duration": 135,
285
+ "name": "Hong Kong International Airport",
286
+ "id": "HKG"
287
+ },
288
+ {
289
+ "duration": 125,
290
+ "name": "Dallas Fort Worth International Airport",
291
+ "id": "DFW"
292
+ }
293
+ ],
294
+ "total_duration": 1440,
295
+ "carbon_emissions": {
296
+ "this_flight": 867000,
297
+ "typical_for_this_route": 978000,
298
+ "difference_percent": -11
299
+ },
300
+ "price": 2333,
301
+ "type": "Round trip",
302
+ "airline_logo": "https://www.gstatic.com/flights/airline_logos/70px/multi.png",
303
+ "departure_token": "WyJDalJJT1dZd2JHVkNhRlJ1UTFWQlFYTTVORkZDUnkwdExTMHRMUzB0ZG5kaVoyOHlNa0ZCUVVGQlIyaElVRFJWUzBGS1dFVkJFaEpEV0RNME4zeERXRGczTm54QlFUSTNNRGNhQ3dpeG5nNFFBaG9EVlZORU9CeHdzWjRPIixbWyJQRUsiLCIyMDI1LTA2LTEwIiwiSEtHIixudWxsLCJDWCIsIjM0NyJdLFsiSEtHIiwiMjAyNS0wNi0xMCIsIkRGVyIsbnVsbCwiQ1giLCI4NzYiXSxbIkRGVyIsIjIwMjUtMDYtMTAiLCJBVVMiLG51bGwsIkFBIiwiMjcwNyJdXV0="
304
+ },
305
+ {
306
+ "flights": [
307
+ {
308
+ "departure_airport": {
309
+ "name": "Beijing Capital International Airport",
310
+ "id": "PEK",
311
+ "time": "2025-06-10 07:00"
312
+ },
313
+ "arrival_airport": {
314
+ "name": "Shanghai Pudong International Airport",
315
+ "id": "PVG",
316
+ "time": "2025-06-10 09:20"
317
+ },
318
+ "duration": 140,
319
+ "airplane": "Airbus A320",
320
+ "airline": "China Eastern",
321
+ "airline_logo": "https://www.gstatic.com/flights/airline_logos/70px/MU.png",
322
+ "travel_class": "Economy",
323
+ "flight_number": "MU 5100",
324
+ "legroom": "31 in",
325
+ "extensions": [
326
+ "Average legroom (31 in)",
327
+ "Carbon emissions estimate: 114 kg"
328
+ ]
329
+ },
330
+ {
331
+ "departure_airport": {
332
+ "name": "Shanghai Pudong International Airport",
333
+ "id": "PVG",
334
+ "time": "2025-06-10 12:10"
335
+ },
336
+ "arrival_airport": {
337
+ "name": "San Francisco International Airport",
338
+ "id": "SFO",
339
+ "time": "2025-06-10 08:40"
340
+ },
341
+ "duration": 690,
342
+ "airplane": "Boeing 777",
343
+ "airline": "United",
344
+ "airline_logo": "https://www.gstatic.com/flights/airline_logos/70px/UA.png",
345
+ "travel_class": "Economy",
346
+ "flight_number": "UA 858",
347
+ "legroom": "31 in",
348
+ "extensions": [
349
+ "Average legroom (31 in)",
350
+ "Wi-Fi for a fee",
351
+ "In-seat power & USB outlets",
352
+ "On-demand video",
353
+ "Carbon emissions estimate: 621 kg"
354
+ ],
355
+ "overnight": true
356
+ },
357
+ {
358
+ "departure_airport": {
359
+ "name": "San Francisco International Airport",
360
+ "id": "SFO",
361
+ "time": "2025-06-10 13:05"
362
+ },
363
+ "arrival_airport": {
364
+ "name": "Austin-Bergstrom International Airport",
365
+ "id": "AUS",
366
+ "time": "2025-06-10 18:46"
367
+ },
368
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+ }
script.py ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import asyncio
2
+ import os
3
+ from dotenv import load_dotenv
4
+ import openai
5
+ from agents import Agent, Runner, AsyncOpenAI, OpenAIChatCompletionsModel
6
+ from agents.mcp import MCPServerSse
7
+ import json
8
+
9
+ # Load environment
10
+ load_dotenv()
11
+
12
+ # Set API key
13
+ openai.api_key = os.getenv("NEBIUS_API_KEY")
14
+ openai.base_url = "https://api.studio.nebius.com/v1/"
15
+
16
+ # MCP tool URL (replace with actual URL you got from step 4.3)
17
+ TOOL_URL = "http://127.0.0.1:7860/gradio_api/mcp/sse"
18
+
19
+ async def main():
20
+ mcp_server = MCPServerSse({"url": TOOL_URL})
21
+
22
+ try:
23
+ await mcp_server.connect()
24
+
25
+ # Create an agent and register the connected tool
26
+ # ✅ Replace "MCP Agent" with a descriptive name if desired
27
+ # ✅ Update instructions to guide the agent's behavior
28
+ agent = Agent(
29
+ name="MCP Agent",
30
+ instructions="You help the user complete tasks using the connected tool.",
31
+ mcp_servers=[mcp_server],
32
+ model=OpenAIChatCompletionsModel(
33
+ model="Qwen/Qwen3-235B-A22B",
34
+ openai_client=AsyncOpenAI(base_url="https://api.studio.nebius.com/v1/", api_key=os.getenv("NEBIUS_API_KEY"))
35
+ )
36
+ )
37
+
38
+ # 🔁 Replace this task with your actual prompt or goal
39
+ task = "You are a helpful assistant. Use the connected tool to assist with tasks. Read and analyse the tool output, focusing on key information and help the user in the following task:" \
40
+ "I want to travel from Hyderabad to Phuket from 5th July to 23rd July in 2025, please help me with my flight search, what are my cheapest and fastest options."
41
+
42
+ result = await Runner.run(agent, task)
43
+
44
+ print(result.final_output)
45
+ # print(json.dumps(result.new_items, indent=4))
46
+ # print(result.raw_responses)
47
+
48
+ # for r in result:
49
+ # print(r)
50
+ # print("\n============\n")
51
+
52
+ finally:
53
+ await mcp_server.cleanup()
54
+
55
+ # Run the async main function
56
+ if __name__ == "__main__":
57
+ asyncio.run(main())