Ren Finlayson
539852f81c
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380 lines
13 KiB
YAML
380 lines
13 KiB
YAML
#
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# This workflow coordinates multiple agents in order to address complex user requests
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# according to the "Magentic" orchestration pattern introduced by AutoGen.
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#
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# For this workflow, several agents used, each with specific roles.
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#
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# The following agents are responsible for overseeing and coordinating the workflow:
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# - Research Agent: Analyze the current task and correlate relevant facts.
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# - Planner Agent: Analyze the current task and devise an overall plan.
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# - Manager Agent: Evaluates status and delegate tasks to other agents.
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# - Summary Agent: Evaluates status and delegate tasks to other agents.
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#
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# The following agents have capabilities that are utilized to address the input task:
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# - Knowledge Agent: Performs generic web searches.
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# - Coder Agent: Able to write and execute code.
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# - Weather Agent: Provides weather information.
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#
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kind: Workflow
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trigger:
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kind: OnConversationStart
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id: workflow_demo
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actions:
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- kind: SetVariable
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id: setVariable_aASlmF
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displayName: List all available agents for this orchestrator
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variable: Local.AvailableAgents
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value: |-
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=[
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{
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name: "WeatherAgent",
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description: "Able to retrieve weather information"
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},
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{
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name: "CoderAgent",
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description: "Able to write and execute Python code"
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},
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{
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name: "KnowledgeAgent",
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description: "Able to perform generic websearches"
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}
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]
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- kind: SetVariable
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id: setVariable_V6yEbo
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displayName: Get a summary of all the agents for use in prompts
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variable: Local.TeamDescription
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value: "=Concat(ForAll(Local.AvailableAgents, $\"- \" & name & $\": \" & description), Value, \"\n\")"
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- kind: SetVariable
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id: setVariable_NZ2u0l
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displayName: Set Task
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variable: Local.InputTask
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value: =System.LastMessage.Text
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- kind: SetVariable
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id: setVariable_10u2ZN
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displayName: Set Task
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variable: Local.SeedTask
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value: =UserMessage(Local.InputTask)
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- kind: SendActivity
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id: sendActivity_yFsbRy
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activity: Analyzing facts...
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- kind: CreateConversation
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id: conversation_1a2b3c
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conversationId: Local.StatusConversationId
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- kind: CreateConversation
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id: conversation_1x2y3z
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conversationId: Local.TaskConversationId
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- kind: InvokeAzureAgent
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id: question_UDoMUw
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displayName: Get Facts
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conversationId: =Local.StatusConversationId
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agent:
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name: ResearchAgent
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output:
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messages: Local.TaskFacts
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input:
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messages: =UserMessage(Local.InputTask)
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- kind: SendActivity
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id: sendActivity_yFsbRz
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activity: Creating a plan...
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- kind: InvokeAzureAgent
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id: question_DsBaJU
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displayName: Create a Plan
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conversationId: =Local.StatusConversationId
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agent:
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name: PlannerAgent
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input:
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arguments:
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team: =Local.TeamDescription
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output:
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messages: Local.Plan
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- kind: SetTextVariable
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id: setVariable_Kk2LDL
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displayName: Define instructions
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variable: Local.TaskInstructions
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value: |-
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# TASK
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Address the following user request:
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{Local.InputTask}
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# TEAM
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Use the following team to answer this request:
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{Local.TeamDescription}
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# FACTS
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Consider this initial fact sheet:
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{MessageText(Local.TaskFacts)}
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# PLAN
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Here is the plan to follow as best as possible:
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{MessageText(Local.Plan)}
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- kind: SendActivity
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id: sendActivity_bwNZiM
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activity: {Local.TaskInstructions}
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- kind: InvokeAzureAgent
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id: question_o3BQkf
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displayName: Progress Ledger Prompt
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conversationId: =Local.StatusConversationId
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agent:
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name: ManagerAgent
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input:
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messages: =UserMessage(Local.AgentResponseText)
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output:
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responseObject: Local.ProgressLedger
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- kind: ConditionGroup
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id: conditionGroup_mVIecC
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conditions:
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- id: conditionItem_fj432c
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condition: =Local.ProgressLedger.is_request_satisfied.answer
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displayName: If Done
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actions:
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- kind: SendActivity
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id: sendActivity_kdl3mC
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activity: Completed! {Local.ProgressLedger.is_request_satisfied.reason}
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- kind: InvokeAzureAgent
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id: question_Ke3l1d
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displayName: Generate Response
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conversationId: =Local.TaskConversationId
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agent:
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name: SummaryAgent
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output:
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autoSend: true
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messages: Local.FinalResponse
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- kind: EndConversation
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id: end_SVoNSV
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- id: conditionItem_yiqund
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condition: =Local.ProgressLedger.is_in_loop.answer || Not(Local.ProgressLedger.is_progress_being_made.answer)
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displayName: If Stalling
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actions:
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- kind: SetVariable
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id: setVariable_H5lXdD
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displayName: Increase stall count
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variable: Local.StallCount
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value: =Local.StallCount + 1
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- kind: ConditionGroup
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id: conditionGroup_vBTQd3
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conditions:
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- id: conditionItem_fpaNL9
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condition: =Local.ProgressLedger.is_in_loop.answer
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displayName: Is Loop
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actions:
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- kind: SendActivity
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id: sendActivity_fpaNL9
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activity: {Local.ProgressLedger.is_in_loop.reason}
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- id: conditionItem_NnqvXh
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condition: =Not(Local.ProgressLedger.is_progress_being_made.answer)
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displayName: Is No Progress
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actions:
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- kind: SendActivity
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id: sendActivity_NnqvXh
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activity: {Local.ProgressLedger.is_progress_being_made.reason}
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- kind: ConditionGroup
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id: conditionGroup_xzNrdM
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conditions:
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- id: conditionItem_NlQTBv
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condition: =Local.StallCount > 2
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displayName: Stall Count Exceeded
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actions:
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- kind: SendActivity
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id: sendActivity_H5lXdD
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activity: Unable to make sufficient progress...
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- kind: ConditionGroup
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id: conditionGroup_4s1Z27
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conditions:
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- id: conditionItem_EXAlhZ
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condition: =Local.RestartCount > 2
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actions:
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- kind: SendActivity
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id: sendActivity_xKxFUU
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activity: Stopping after attempting {Local.RestartCount} restarts...
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- kind: EndConversation
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id: end_GHVrFh
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- kind: SendActivity
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id: sendActivity_cwNZiM
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activity: Re-analyzing facts...
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- kind: InvokeAzureAgent
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id: question_wFJ123
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displayName: Get New Facts Prompt
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conversationId: =Local.StatusConversationId
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agent:
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name: ResearchAgent
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output:
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messages: Local.TaskFacts
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input:
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messages: |-
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=UserMessage(
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"It's clear we aren't making as much progress as we would like, but we may have learned something new.
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Please rewrite the following fact sheet, updating it to include anything new we have learned that may be helpful.
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Example edits can include (but are not limited to) adding new guesses, moving educated guesses to verified facts if appropriate, etc.
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Updates may be made to any section of the fact sheet, and more than one section of the fact sheet can be edited.
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This is an especially good time to update educated guesses, so please at least add or update one educated guess or hunch, and explain your reasoning.
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Here is the old fact sheet:
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{MessageText(Local.TaskFacts)}"
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- kind: SendActivity
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id: sendActivity_dsBaJU
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activity: Re-analyzing plan...
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- kind: InvokeAzureAgent
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id: question_uEJ456
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displayName: Create new Plan Prompt
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conversationId: =Local.StatusConversationId
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agent:
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name: PlannerAgent
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output:
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messages: Local.Plan
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input:
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messages: |-
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=UserMessage(
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"Please briefly explain what went wrong on this last run (the root cause of the failure),
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and then come up with a new plan that takes steps and/or includes hints to overcome prior challenges and especially avoids repeating the same mistakes.
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As before, the new plan should be concise, be expressed in bullet-point form, and consider the following team composition
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(do not involve any other outside people since we cannot contact anyone else):
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{Local.TeamDescription}")
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- kind: SetTextVariable
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id: setVariable_jW7tmM
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displayName: Set Plan as Context
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variable: Local.TaskInstructions
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value: |-
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# TASK
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Address the following user request:
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{Local.InputTask}
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# TEAM
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Use the following team to answer this request:
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{Local.TeamDescription}
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# FACTS
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Consider this initial fact sheet:
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{MessageText(Local.TaskFacts)}
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# PLAN
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Here is the plan to follow as best as possible:
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{MessageText(Local.Plan)}
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- kind: SetVariable
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id: setVariable_6J2snP
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displayName: Reset Stall count
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variable: Local.StallCount
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value: 0
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- kind: SetVariable
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id: setVariable_S6HCgh
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displayName: Increase Restart count
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variable: Local.RestartCount
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value: =Local.RestartCount + 1
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- kind: GotoAction
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id: goto_LzfJ8u
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actionId: question_o3BQkf
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elseActions:
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- kind: SendActivity
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id: sendActivity_L7ooQO
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activity: |-
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({Local.ProgressLedger.next_speaker.reason})
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{Local.ProgressLedger.next_speaker.answer} - {Local.ProgressLedger.instruction_or_question.answer}
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- kind: SetVariable
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id: setVariable_nxN1mE
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variable: Local.NextSpeaker
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value: =Search(Local.AvailableAgents, Local.ProgressLedger.next_speaker.answer, name)
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- kind: ConditionGroup
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id: conditionGroup_QFPiF5
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conditions:
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- id: conditionItem_GmigcU
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condition: =CountRows(Local.NextSpeaker) = 1
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displayName: If next Agent tool Exists
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actions:
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- kind: SetVariable
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id: setVariable_L7ooQO
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variable: Local.StallCount
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value: 0
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- kind: InvokeAzureAgent
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id: question_orsBf06
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displayName: Progress Ledger Prompt
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conversationId: =Local.TaskConversationId
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agent:
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name: =First(Local.NextSpeaker).name
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output:
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autoSend: true
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messages: Local.AgentResponse
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input:
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messages: =UserMessage(Local.ProgressLedger.instruction_or_question.answer)
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- kind: SetVariable
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id: setVariable_XzNrdM
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variable: Local.AgentResponseText
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value: =MessageText(Local.AgentResponse)
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- kind: ResetVariable
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id: setVariable_8eIx2A
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displayName: Clear seed task
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variable: Local.SeedTask
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elseActions:
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- kind: SendActivity
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id: sendActivity_BhcsI7
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activity: Unable to choose next agent...
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- kind: SetVariable
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id: setVariable_BhcsI7
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displayName: Increase stall count
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variable: Local.StallCount
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value: =Local.StallCount + 1
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- kind: GotoAction
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id: goto_76Hne8
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actionId: question_o3BQkf
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