openai/openai-python
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examples/parsing_tools_stream.py
38lines · modeblame
bf1ca86cRobert Craigie1 years ago | 1 | from __future__ import annotations |
| 2 | | |
| 3 | import rich | |
| 4 | from pydantic import BaseModel | |
| 5 | | |
| 6 | import openai | |
| 7 | from openai import OpenAI | |
| 8 | | |
| 9 | | |
| 10 | class GetWeather(BaseModel): | |
| 11 | city: str | |
| 12 | country: str | |
| 13 | | |
| 14 | | |
| 15 | client = OpenAI() | |
| 16 | | |
| 17 | | |
| 18 | with client.beta.chat.completions.stream( | |
| 19 | model="gpt-4o-2024-08-06", | |
| 20 | messages=[ | |
| 21 | { | |
| 22 | "role": "user", | |
| 23 | "content": "What's the weather like in SF and New York?", | |
| 24 | }, | |
| 25 | ], | |
| 26 | tools=[ | |
| 27 | # because we're using `.parse_stream()`, the returned tool calls | |
| 28 | # will be automatically deserialized into this `GetWeather` type | |
| 29 | openai.pydantic_function_tool(GetWeather, name="get_weather"), | |
| 30 | ], | |
| 31 | parallel_tool_calls=True, | |
| 32 | ) as stream: | |
| 33 | for event in stream: | |
| 34 | if event.type == "tool_calls.function.arguments.delta" or event.type == "tool_calls.function.arguments.done": | |
| 35 | rich.get_console().print(event, width=80) | |
| 36 | | |
| 37 | print("----\n") | |
| 38 | rich.print(stream.get_final_completion()) |