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Rely on default OpenAI model for examples and tests

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This commit is contained in:
Mark Backman
2025-04-16 08:27:10 -04:00
parent ad40a0f076
commit 5f3bbf9828
68 changed files with 68 additions and 80 deletions
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4
examples/foundational/22-natural-conversation.py
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@@ -56,7 +56,7 @@ async def run_bot(webrtc_connection: SmallWebRTCConnection):
# statement. This doesn't really need to be an LLM, we could use NLP
# libraries for that, but it was easier as an example because we
# leverage the context aggregators.
statement_llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4.1")
statement_llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
statement_messages = [
{
@@ -69,7 +69,7 @@ async def run_bot(webrtc_connection: SmallWebRTCConnection):
statement_context_aggregator = statement_llm.create_context_aggregator(statement_context)
# This is the regular LLM.
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4.1")
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
messages = [
{