From 42d0a097c5d7f80a8ffeea3c88f64f00946c0cd4 Mon Sep 17 00:00:00 2001 From: Paul Kompfner Date: Tue, 21 Oct 2025 16:29:13 -0400 Subject: [PATCH] Tweaks to 20b example --- .../foundational/20b-persistent-context-openai-realtime.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/foundational/20b-persistent-context-openai-realtime.py b/examples/foundational/20b-persistent-context-openai-realtime.py index 33328ac24..c0aa9bc95 100644 --- a/examples/foundational/20b-persistent-context-openai-realtime.py +++ b/examples/foundational/20b-persistent-context-openai-realtime.py @@ -73,7 +73,7 @@ async def save_conversation(params: FunctionCallParams): timestamp = datetime.now().strftime("%Y-%m-%d_%H:%M:%S") filename = f"{BASE_FILENAME}{timestamp}.json" logger.debug( - f"writing conversation to {filename}\n{json.dumps(params.context.messages, indent=4)}" + f"writing conversation to {filename}\n{json.dumps(params.context.get_messages(), indent=4)}" ) try: with open(filename, "w") as file: @@ -214,7 +214,7 @@ Remember, your responses should be short. Just one or two sentences, usually.""" llm.register_function("get_saved_conversation_filenames", get_saved_conversation_filenames) llm.register_function("load_conversation", load_conversation) - context = LLMContext([], tools) + context = LLMContext([{"role": "user", "content": "Say hello!"}], tools) context_aggregator = LLMContextAggregatorPair(context) pipeline = Pipeline(