[BFCL] Add ToolACE handler for BFCL-v3

[XuHwang]

This PR adds the handler of the ToolACE model, which finetunes LLaMA-3.1-8B-Instruct model with ToolACE dataset, obtaining wonderful points in functional calling.

We have adapted our handler compatible with version 3.

Here are the results of the version evaluated in our machine (4*v100-32GB). We also found that the results would change in different machines.

Rank	Overall Acc	Non-Live AST Acc	Non-Live Simple AST	Non-Live Multiple AST	Non-Live Parallel AST	Non-Live Parallel Multiple AST	Non-Live Exec Acc	Non-Live Simple Exec	Non-Live Multiple Exec	Non-Live Parallel Exec	Non-Live Parallel Multiple Exec	Live Acc	Live Simple AST	Live Multiple AST	Live Parallel AST	Live Parallel Multiple AST	Multi Turn Acc	Multi Turn Base	Multi Turn Miss Func	Multi Turn Miss Param	Multi Turn Long Context	Multi Turn Composite	Relevance Detection	Irrelevance Detection
1	59.22%	89.27%	80.58%	95.00%	91.00%	90.50%	90.07%	98.29%	94.00%	88.00%	80.00%	73.21%	62.79%	74.25%	81.25%	75.00%	14.37%	21.50%	6.50%	17.50%	12.00%	N/A	85.37%	83.81%

Thanks for your efforts in holding such a wonderful leaderboard. We need your help (@HuanzhiMao, @CharlieJCJ ) in adding our model to the leaderboard. Thanks a lot～

[HuanzhiMao]

Apologize for the long delay. Will definitely take a look after the ICLR deadline.

[XuHwang]

Apologize for the long delay. Will definitely take a look after the ICLR deadline.

Thanks! Good luck with your submission~

[HuanzhiMao]

Thanks for the PR @XuHwang. Given that the Team-ACE/ToolACE-8B model use the same prompt format and the same decide_ast logic as LlamaHandler, I just let it use the LlamaHandler instead; it should not have its own decode_exec method.
(FYI, using the default decode_exec will actually boost your model performance.