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Add 14k (CerebrasLLMService) to release evals

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This commit is contained in:
Mark Backman
2025-09-03 17:11:38 -04:00
parent c64bc5a636
commit 977a57c8fb
2 changed files with 4 additions and 8 deletions
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10
examples/foundational/14k-function-calling-cerebras.py
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@@ -72,13 +72,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
# sent to the same callback with an additional function_name parameter.
llm.register_function("get_current_weather", fetch_weather_from_api)
# Disabling for now, as we end up in an infinite inference loop with the
# model in this example ("let me check on that" ends up at the end of the
# context, which the model erroneously treats as a nudge to call the tool
# again).
# @llm.event_handler("on_function_calls_started")
# async def on_function_calls_started(service, function_calls):
# await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
@llm.event_handler("on_function_calls_started")
async def on_function_calls_started(service, function_calls):
await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
weather_function = FunctionSchema(
name="get_current_weather",