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76 lines
2.6 KiB
Python
76 lines
2.6 KiB
Python
import json
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import ollama
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import asyncio
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# Simulates an API call to get flight times
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# In a real application, this would fetch data from a live database or API
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def get_flight_times(departure: str, arrival: str) -> str:
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"""
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Get the flight times between two cities
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Args:
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departure (str): The departure city (airport code)
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arrival (str): The arrival city (airport code)
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Returns:
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str: The flight times between the two cities
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"""
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flights = {
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'NYC-LAX': {'departure': '08:00 AM', 'arrival': '11:30 AM', 'duration': '5h 30m'},
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'LAX-NYC': {'departure': '02:00 PM', 'arrival': '10:30 PM', 'duration': '5h 30m'},
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'LHR-JFK': {'departure': '10:00 AM', 'arrival': '01:00 PM', 'duration': '8h 00m'},
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'JFK-LHR': {'departure': '09:00 PM', 'arrival': '09:00 AM', 'duration': '7h 00m'},
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'CDG-DXB': {'departure': '11:00 AM', 'arrival': '08:00 PM', 'duration': '6h 00m'},
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'DXB-CDG': {'departure': '03:00 AM', 'arrival': '07:30 AM', 'duration': '7h 30m'},
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}
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key = f'{departure}-{arrival}'.upper()
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return json.dumps(flights.get(key, {'error': 'Flight not found'}))
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async def run(model: str):
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client = ollama.AsyncClient()
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# Initialize conversation with a user query
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messages = [{'role': 'user', 'content': 'What is the flight time from New York (NYC) to Los Angeles (LAX)?'}]
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# First API call: Send the query and function description to the model
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response = await client.chat(
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model=model,
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messages=messages,
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tools=[get_flight_times],
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)
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# Add the model's response to the conversation history
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messages.append(response['message'])
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# Check if the model decided to use the provided function
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if not response['message'].get('tool_calls'):
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print("The model didn't use the function. Its response was:")
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print(response['message']['content'])
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return
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# Process function calls made by the model
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if response['message'].get('tool_calls'):
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available_functions = {
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'get_flight_times': get_flight_times,
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}
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for tool in response['message']['tool_calls']:
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function_to_call = available_functions[tool['function']['name']]
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function_response = function_to_call(tool['function']['arguments']['departure'], tool['function']['arguments']['arrival'])
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# Add function response to the conversation
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messages.append(
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{
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'role': 'tool',
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'content': function_response,
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}
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)
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# Second API call: Get final response from the model
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final_response = await client.chat(model=model, messages=messages)
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print(final_response.message.content)
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# Run the async function
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asyncio.run(run('llama3.1'))
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