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🤖 Hi @scottsuhy, great to see you here again! I hope you're doing well. Based on the information available in the langchainjs repository, there isn't a specified limit to the number of function calls that can be made to the However, the number of function calls you can make may be indirectly limited by factors such as the available system resources (like memory and CPU), the complexity of the function being executed, and the size of the input data. As for the relationship between the number of function calls and the size of the model's context window, there isn't any direct correlation mentioned in the repository. The context window size of a language model typically refers to the number of previous tokens (words, characters, etc.) that the model considers when predicting the next token. This is a property of the language model itself and is independent of the number of function calls made to the In terms of maximizing the use of the
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When I'm using the DynamicTool class, is there any way to calculate the limit to the number of function calls I can provide the agent? Does it depend on the size of the model's context window? if there is a limit has anyone found a good strategy that maximizes the use of the feature?
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