List all opened issues that don't have any labels

Step 1 : PlannerAgent

Current URL: http://192.168.0.199:8023/root/metaseq
RootWebArea 'Administrator / metaseq · GitLab', focused, url='http://192.168.0.199:8023/root/metaseq'
	[67] banner ''
		[68] link 'Skip to content', url='http://192.168.0.199:8023/root/metaseq#content-body'
		StaticText 'GitLab'
		[74] link 'Dashboard', url='http://192.168.0.199:8023/'
			[75] image
>
instruction : Click on the 'Issues' link in the project navigation section to view the list of issues.

Step 2 : ActionAgent

click(bid=322)

Step 3 : PlannerAgent

Current URL: http://192.168.0.199:8023/root/metaseq/-/issues
RootWebArea 'Issues · Administrator / metaseq · GitLab', focused, url='http://192.168.0.199:8023/root/metaseq/-/issues'
	[64] banner ''
		[65] link 'Skip to content', url='http://192.168.0.199:8023/root/metaseq/-/issues#content-body'
		StaticText 'GitLab'
		[71] link 'Dashboard', url='http://192.168
>
instruction : Extract the list of open issues and identify those that do not have any labels from the current page.

Step 4 : QaAgent

answer : The open issues without any labels from the current page are: 1. Issue #644 - Title: Support for Llama Models 2. Issue #596 - Title: Fine-tune and collect data for fine-tuning OPT models

Step 5 : PlannerAgent

Current URL: http://192.168.0.199:8023/root/metaseq/-/issues
RootWebArea 'Issues · Administrator / metaseq · GitLab', focused, url='http://192.168.0.199:8023/root/metaseq/-/issues'
	[64] banner ''
		[65] link 'Skip to content', url='http://192.168.0.199:8023/root/metaseq/-/issues#content-body'
		StaticText 'GitLab'
		[71] link 'Dashboard', url='http://192.168
>
instruction : The open issues without any labels are: 1. Issue #644 - Title: Support for Llama Models 2. Issue #596 - Title: Fine-tune and collect data for fine-tuning OPT models

Step 6 : FinalAnswerAgent

final_answer : The open issues without any labels are: 1. Issue #644 - Title: Support for Llama Models 2. Issue #596 - Title: Fine-tune and collect data for fine-tuning OPT models