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name: "ReplanningFlow" |
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description: "Re-plan given old plan and new information" |
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_target_: Tachi67.ReplanningFlowModule.ReplanningFlow.instantiate_from_default_config |
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input_interface: |
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- "goal" |
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- "plan" |
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- "plan_file_location" |
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output_interface: |
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- "plan" |
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- "status" |
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- "summary" |
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- "result" |
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subflows_config: |
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Controller: |
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_target_: Tachi67.PlanWriterFlowModule.PlanWriterCtrlFlow.instantiate_from_default_config |
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backend: |
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api_infos: ??? |
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model_name: |
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openai: gpt-4 |
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azure: azure/gpt-4 |
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input_interface_initialized: |
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- "new_plan" |
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- "feedback" |
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system_message_prompt_template: |
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_target_: langchain.PromptTemplate |
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template: |2- |
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You are in charge of a department of rewriting plans to solve a certain goal. You work with a re-planner, who does all the re-planning job. |
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You are not given the old plan, the planner is aware of the old plan, you do not need to care about the details of it. |
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Your **ONLY** task is to take the user's information about the old plan for you, to decide whether to call the re-planner to write or refine the plan, or to finish the current task. |
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When you need to call the plan writer, call the `write_plan` command with the goal specified. |
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When the plan is written and the user is satisfied, call the `finish` command to terminate the current process with a summary of what was done in one sentence. |
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Whenever you are in doubt, or need to confirm something to the user, call `ask_user` with the question. |
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You **must not** write plans yourself. You only decide whether to call the planner with specified goals or to finish. |
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Your workflow: |
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0. Whenever the user demands to quit or terminate the current process, call `manual_finish` command. |
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1. Upon user request, call the `write_plan` with the information given. |
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2. The planner will write the plan. The user will examine the plan, and provide feedback. |
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3. Depending on the feedback of the user: |
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3.1. The user provides feedback on how to change the plan, **call the planner with user's specific requirements again, to ask the planner to refine the plan**. Go back to step 2. |
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3.2. The user does not provide details about refining the plan, for example, just stating the fact that the user has updated the plan, **this means the user is satisfied with the plan written, call the `finish` command.** |
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3.3. The user is satisfied with the plan, **call the `finish` command with a summary of what was done** |
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If you have completed all your tasks, make sure to use the "finish" command, with a summary of what was done. |
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Constraints: |
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1. Exclusively use the commands listed in double quotes e.g. "command name" |
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Your response **MUST** be in the following format: |
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Response Format: |
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{ |
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"command": "call plan writer, or to finish", |
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"command_args": { |
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"arg name": "value" |
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} |
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} |
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Ensure your responses can be parsed by Python json.loads |
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Available Functions: |
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{{commands}} |
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input_variables: [ "commands" ] |
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template_format: jinja2 |
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human_message_prompt_template: |
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_target_: aiflows.prompt_template.JinjaPrompt |
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template: |2- |
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Here is the new plan written by the planner, it might have been updated by the user, depending on the user's feedback: |
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{{new_plan}} |
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Here is the feedback from the user: |
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{{feedback}} |
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input_variables: |
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- "new_plan" |
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- "feedback" |
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template_format: jinja2 |
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init_human_message_prompt_template: |
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_target_: aiflows.prompt_template.JinjaPrompt |
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template: |2- |
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Here is the information about the old plan: |
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{{goal}} |
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input_variables: |
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- "goal" |
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template_format: jinja2 |
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Executor: |
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_target_: aiflows.base_flows.BranchingFlow.instantiate_from_default_config |
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subflows_config: |
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write_plan: |
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_target_: Tachi67.InteractivePlanGenFlowModule.InteractivePlanGenFlow.instantiate_from_default_config |
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output_interface: |
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- "new_plan" |
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- "feedback" |
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- "temp_plan_file_location" |
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subflows_config: |
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PlanGenerator: |
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_target_: Tachi67.ReplanningFlowModule.NewPlanGenFlow.instantiate_from_default_config |
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backend: |
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api_infos: ??? |
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model_name: |
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openai: gpt-4 |
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azure: azure/gpt-4 |
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PlanFileEditor: |
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_target_: Tachi67.PlanFileEditFlowModule.PlanFileEditAtomicFlow.instantiate_from_default_config |
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input_interface: |
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- "new_plan" |
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- "plan_file_location" |
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ParseFeedback: |
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_target_: Tachi67.ParseFeedbackFlowModule.ParseFeedbackAtomicFlow.instantiate_from_default_config |
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input_interface: |
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- "temp_plan_file_location" |
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output_interface: |
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- "new_plan" |
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- "feedback" |
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topology: |
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- goal: "Generate plan to achieve the task." |
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input_interface: |
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_target_: aiflows.interfaces.KeyInterface |
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additional_transformations: |
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- _target_: aiflows.data_transformations.KeyMatchInput |
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flow: PlanGenerator |
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reset: false |
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- goal: "Write the plan generated to a temp file with instructions to the user" |
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input_interface: |
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_target_: aiflows.interfaces.KeyInterface |
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additional_transformations: |
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- _target_: aiflows.data_transformations.KeyMatchInput |
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flow: PlanFileEditor |
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reset: false |
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- goal: "Parse user feedback from the temp file" |
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input_interface: |
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_target_: aiflows.interfaces.KeyInterface |
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additional_transformations: |
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- _target_: aiflows.data_transformations.KeyMatchInput |
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flow: ParseFeedback |
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output_interface: |
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_target_: aiflows.interfaces.KeyInterface |
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keys_to_rename: |
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plan: new_plan |
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reset: false |
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ask_user: |
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_target_: Tachi67.ReplanningFlowModule.ReplanningAskUserFlow.instantiate_from_default_config |
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early_exit_key: "EARLY_EXIT" |
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topology: |
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- goal: "Select the next action and prepare the input for the executor." |
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input_interface: |
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_target_: aiflows.interfaces.KeyInterface |
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additional_transformations: |
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- _target_: aiflows.data_transformations.KeyMatchInput |
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flow: Controller |
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output_interface: |
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_target_: ReplanningFlow.detect_finish_or_continue |
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reset: false |
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- goal: "Execute the action specified by the Controller." |
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input_interface: |
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_target_: aiflows.interfaces.KeyInterface |
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keys_to_rename: |
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command: branch |
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command_args: branch_input_data |
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keys_to_select: ["branch", "branch_input_data"] |
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flow: Executor |
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output_interface: |
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_target_: aiflows.interfaces.KeyInterface |
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keys_to_rename: |
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branch_output_data: observation |
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keys_to_unpack: ["observation"] |
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reset: false |
