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explanatory comment in 19-openai-realtime-beta.py

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Kwindla Hultman Kramer
2024-10-16 14:27:48 -07:00
parent 93c9e219ce
commit 280691b1b3
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examples/foundational/19-openai-realtime-beta.py
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@@ -124,6 +124,9 @@ Remember, your responses should be short. Just one or two sentences, usually."""
# llm.register_function(None, fetch_weather_from_api) # llm.register_function(None, fetch_weather_from_api)
llm.register_function("get_current_weather", fetch_weather_from_api) llm.register_function("get_current_weather", fetch_weather_from_api)
# Create a standard OpenAI LLM context object using the normal messages format. The
# OpenAIRealtimeBetaLLMService will convert this internally to messages that the
# openai WebSocket API can understand.
context = OpenAILLMContext( context = OpenAILLMContext(
[{"role": "user", "content": "Say hello!"}], [{"role": "user", "content": "Say hello!"}],
# [{"role": "user", "content": [{"type": "text", "text": "Say hello!"}]}], # [{"role": "user", "content": [{"type": "text", "text": "Say hello!"}]}],