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pipecat/tests/integration/integration_openai_llm.py
2024-04-03 15:27:31 -07:00

84 lines
3.0 KiB
Python

import asyncio
import os
from dailyai.pipeline.openai_frames import OpenAILLMContextFrame
from dailyai.services.openai_llm_context import OpenAILLMContext
from openai.types.chat import (
ChatCompletionSystemMessageParam,
ChatCompletionToolParam,
ChatCompletionUserMessageParam,
)
from dailyai.services.openai_api_llm_service import BaseOpenAILLMService
if __name__ == "__main__":
async def test_functions():
tools = [
ChatCompletionToolParam(
type="function",
function={
"name": "get_current_weather",
"description": "Get the current weather",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
"format": {
"type": "string",
"enum": [
"celsius",
"fahrenheit"],
"description": "The temperature unit to use. Infer this from the users location.",
},
},
"required": [
"location",
"format"],
},
})]
api_key = os.getenv("OPENAI_API_KEY")
llm = BaseOpenAILLMService(
api_key=api_key or "",
model="gpt-4-1106-preview",
)
context = OpenAILLMContext(tools=tools)
system_message: ChatCompletionSystemMessageParam = ChatCompletionSystemMessageParam(
content="Ask the user to ask for a weather report", name="system", role="system"
)
user_message: ChatCompletionUserMessageParam = ChatCompletionUserMessageParam(
content="Could you tell me the weather for Boulder, Colorado",
name="user",
role="user",
)
context.add_message(system_message)
context.add_message(user_message)
frame = OpenAILLMContextFrame(context)
async for s in llm.process_frame(frame):
print(s)
async def test_chat():
api_key = os.getenv("OPENAI_API_KEY")
llm = BaseOpenAILLMService(
api_key=api_key or "",
model="gpt-4-1106-preview",
)
context = OpenAILLMContext()
message: ChatCompletionSystemMessageParam = ChatCompletionSystemMessageParam(
content="Please tell the world hello.", name="system", role="system")
context.add_message(message)
frame = OpenAILLMContextFrame(context)
async for s in llm.process_frame(frame):
print(s)
async def run_tests():
await test_functions()
await test_chat()
asyncio.run(run_tests())