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agent-framework/dotnet/samples/03-workflows/Declarative/InvokeFunctionTool/InvokeFunctionTool.yaml
Chris 904a5b843e Python / .NET Samples - Restructure and Improve Samples (Feature Branc… (#4092)
* Python: .NET Samples - Restructure and Improve Samples (Feature Branch) (#4091)

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56 lines
1.7 KiB
YAML

#
# This workflow demonstrates using InvokeFunctionTool to call functions directly
# from the workflow without going through an AI agent first.
#
# InvokeFunctionTool allows workflows to:
# - Pre-fetch data before calling an AI agent
# - Execute operations directly without AI involvement
# - Store function results in workflow variables for later use
#
# Example input:
# What are the specials in the menu?
#
kind: Workflow
trigger:
kind: OnConversationStart
id: workflow_invoke_function_tool_demo
actions:
# Invoke GetSpecials function to get today's specials directly from the workflow
- kind: InvokeFunctionTool
id: invoke_get_specials
conversationId: =System.ConversationId
requireApproval: true
functionName: GetSpecials
output:
autoSend: true
result: Local.Specials
messages: Local.FunctionMessage
# Display a message showing we retrieved the specials
- kind: SendMessage
id: show_specials_intro
message: "Today's specials have been retrieved. Here they are: {Local.Specials}"
# Now use an agent to format and present the specials to the user
- kind: InvokeAzureAgent
id: invoke_menu_agent
conversationId: =System.ConversationId
agent:
name: FunctionMenuAgent
input:
messages: =UserMessage("Please describe today's specials in an appealing way.")
output:
messages: Local.AgentResponse
# Allow the user to ask follow-up questions in a loop
- kind: InvokeAzureAgent
id: invoke_followup
conversationId: =System.ConversationId
agent:
name: FunctionMenuAgent
input:
externalLoop:
when: =Upper(System.LastMessage.Text) <> "EXIT"