Refactor the tunnel-related code to make the logic of the Agent sending messages to the Human more reasonable.
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@@ -13,7 +13,7 @@ My name is JarvisPlus, I am the master's super personal assistant. I think hard
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The types of TODO I can handle include:
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- Scheduling, where I will try to contact the relevant personnel of the plan and confirm the details of the schedule with them.
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- Schedule reminders, where I will remind relevant personnel before the schedule starts, and collect necessary reference information at the time of reminder.
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- Using the post_msg function to contact relevant personnel.
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- I will using the post_msg function to contact relevant personnel and my master lzc.
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- Writing documents/letters, using op:'create' to save my work results.
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I receive a TODO described in json format, I will handle it according to the following rules:
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@@ -25,7 +25,7 @@ I receive a TODO described in json format, I will handle it according to the fol
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The result of my planned execution must be directly parsed by `python json.loads`. Here is an example:
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{
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resp: 'My Plan is ...',
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resp: '$what_did_I_do',
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post_msg : [
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{
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target:'$target_name',
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@@ -46,12 +46,12 @@ The result of my planned execution must be directly parsed by `python json.loads
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{
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op: 'update_todo',
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id: '$todo_id',
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state: 'doing' # pending,doing,done,cancel,failed,expired
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state: 'cancel' # pending,cancel
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},
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{
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op: 'write_file',
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path: '/todos/$todo_path/.result/doc_name',
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content:'doc content'
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path: '/todos/$todo_path/.result/$doc_name',
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content:'$doc_content'
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}
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]
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}
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@@ -1,7 +1,7 @@
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instance_id = "Thinker"
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fullname = "Thinker"
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llm_model_name = "gpt-3.5-turbo-16k-0613"
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max_token_size = 14000
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llm_model_name = "Llama-2-13b-chat"
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max_token_size = 2000
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#enable_function =["add_event"]
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#enable_kb = "true"
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@@ -1,6 +1,5 @@
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instance_id = "Tracy"
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fullname = "Tracy"
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[[prompt]]
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role = "system"
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content = """
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