Testing with gemini-exp-1114. Bug fix
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@@ -217,7 +217,11 @@ async def main():
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voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
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)
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llm = GoogleLLMService(model="gemini-1.5-flash-latest", api_key=os.getenv("GOOGLE_API_KEY"))
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llm = GoogleLLMService(
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model="gemini-1.5-flash-latest",
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# model="gemini-exp-1114",
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api_key=os.getenv("GOOGLE_API_KEY"),
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)
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messages = [
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{
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@@ -64,7 +64,11 @@ async def main():
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voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
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)
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llm = GoogleLLMService(model="gemini-1.5-flash-latest", api_key=os.getenv("GOOGLE_API_KEY"))
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llm = GoogleLLMService(
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model="gemini-1.5-flash-latest",
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# model="gemini-exp-1114",
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api_key=os.getenv("GOOGLE_API_KEY"),
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)
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llm.register_function("get_weather", get_weather)
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llm.register_function("get_image", get_image)
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@@ -151,7 +155,6 @@ indicate you should use the get_image tool are:
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allow_interruptions=True,
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enable_metrics=True,
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enable_usage_metrics=True,
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report_only_initial_ttfb=True,
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),
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)
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@@ -281,9 +281,10 @@ class GoogleAssistantContextAggregator(OpenAIAssistantContextAggregator):
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)
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run_llm = not bool(self._function_calls_in_progress)
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else:
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self._context.add_message(
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glm.Content(role="model", parts=[glm.Part(text=aggregation)])
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)
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if aggregation.strip():
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self._context.add_message(
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glm.Content(role="model", parts=[glm.Part(text=aggregation)])
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)
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if self._pending_image_frame_message:
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frame = self._pending_image_frame_message
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