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				@@ -323,6 +323,9 @@ class CohereLargeLanguageModel(LargeLanguageModel): 
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				             model_parameters['stop_sequences'] = stop 
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				         if tools: 
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				+            if len(tools) == 1: 
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				+                raise ValueError("Cohere tool call requires at least two tools to be specified.") 
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				+ 
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				             model_parameters['tools'] = self._convert_tools(tools) 
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				         message, chat_histories, tool_results \ 
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				@@ -476,8 +479,6 @@ class CohereLargeLanguageModel(LargeLanguageModel): 
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				                 index += 1 
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				             elif isinstance(chunk, StreamedChatResponse_ToolCallsGeneration): 
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				                 chunk = cast(StreamedChatResponse_ToolCallsGeneration, chunk) 
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				- 
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				-                tool_calls = [] 
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				                 if chunk.tool_calls: 
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				                     for cohere_tool_call in chunk.tool_calls: 
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				                         tool_call = AssistantPromptMessage.ToolCall( 
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