# # This workflow demonstrates conversation between two agents: a student and a teacher. # The student attempts to solve the input problem and the teacher provides guidance. # # For this workflow, two agents are used, each with a prompt specific to their role. # # Student: # See: ./setup/StudentAgent.yaml # # With instructions: # # Your job is help a math teacher practice teaching by making intentional mistakes. # You Attempt to solve the given math problem, but with intentional mistakes so the teacher can help. # Always incorporate the teacher's advice to fix your next response. # You have the math-skills of a 6th grader. # Teacher: # See: ./setup/TeacherAgent.yaml # # With instructions: # # Review and coach the student's approach to solving the given math problem. # Don't repeat the solution or try and solve it. # If the student has demonstrated comprehension and responded to all of your feedback, # give the student your congratulations by using the word "congratulations". # kind: Workflow trigger: kind: OnConversationStart id: workflow_demo actions: - kind: InvokeAzureAgent id: question_student conversationId: =System.ConversationId agent: name: =Env.FOUNDRY_AGENT_STUDENT - kind: InvokeAzureAgent id: question_teacher conversationId: =System.ConversationId agent: name: =Env.FOUNDRY_AGENT_TEACHER output: messages: Local.TeacherResponse - kind: SetVariable id: set_count_increment variable: Local.TurnCount value: =Local.TurnCount + 1 - kind: ConditionGroup id: check_completion conditions: - condition: =!IsBlank(Find("CONGRATULATIONS", Upper(Last(Local.TeacherResponse).Text))) id: check_turn_done actions: - kind: SendActivity id: sendActivity_done activity: GOLD STAR! - condition: =Local.TurnCount < 4 id: check_turn_count actions: - kind: GotoAction id: goto_student_agent actionId: question_student elseActions: - kind: SendActivity id: sendActivity_tired activity: Let's try again later...