content.raw: Initial API-Based Smolagents and Linear.app Integration Example
content.type: text
content.value: Initial API-Based Smolagents and Linear.app Integration Example
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content.raw: https://huggingface.co/spaces/Akjava/linear-app-api-smolagents
content.id: Akjava/linear-app-api-smolagents
content.type: space
content.type: resource
content.url: https://huggingface.co/spaces/Akjava/linear-app-api-smolagents
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content.raw: In short,this example contain get_todo_issue() tool and add_comment(),change_state_reviewing() function to linear.app
content.type: text
content.value: In short,this example contain get_todo_issue() tool and add_comment(),change_state_reviewing() function to linear.app
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content.type: new_line
content.raw: Large language models, like 70B parameter models, can often readily utilize tools such as add_comment or change_state, potentially handling multiple issues concurrently.
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content.value: Large language models, like 70B parameter models, can often readily utilize tools such as add_comment or change_state, potentially handling multiple issues concurrently.
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content.raw: However, smaller models may require repeated calls to a tool or even fail to utilize it entirely.
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content.value: However, smaller models may require repeated calls to a tool or even fail to utilize it entirely.
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content.type: new_line
content.raw: Therefore, this initial example focuses on the get_todo_issue() tool.
content.type: text
content.value: Therefore, this initial example focuses on the get_todo_issue() tool.
rawContent: Initial API-Based Smolagents and Linear.app Integration Example
  https://huggingface.co/spaces/Akjava/linear-app-api-smolagents
  In short,this example contain get_todo_issue() tool and add_comment(),change_state_reviewing() function to linear.app
  
  Large language models, like 70B parameter models, can often readily utilize tools such as add_comment or change_state, potentially handling multiple issues concurrently.
  
  However, smaller models may require repeated calls to a tool or even fail to utilize it entirely.
  
  Therefore, this initial example focuses on the get_todo_issue() tool.
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