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westey
e224f06e60
* Update models used in dotnet samples to gpt-5.4-mini * Fix additional missed sample
64 lines
1.8 KiB
YAML
64 lines
1.8 KiB
YAML
#
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# This workflow demonstrates invoking MCP tools directly from a declarative workflow.
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# Uses the Foundry MCP server to search AI model details.
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#
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# The workflow:
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# 1. Accepts a model search term as input
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# 2. Invokes the Foundry MCP tool
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# 3. Invokes the Microsoft Learn MCP tool
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# 4. Uses an agent to summarize the results
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#
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# Example input:
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# gpt-5.4-mini
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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_invoke_mcp_tool
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actions:
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# Set the search query from user input or use default
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- kind: SetVariable
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id: set_search_query
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variable: Local.SearchQuery
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value: =System.LastMessage.Text
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# Invoke MCP search tool on Foundry MCP server
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- kind: InvokeMcpTool
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id: invoke_foundry_search
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serverUrl: https://mcp.ai.azure.com
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serverLabel: azure_mcp_server
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toolName: model_details_get
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conversationId: =System.ConversationId
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arguments:
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modelName: =Local.SearchQuery
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output:
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autoSend: true
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result: Local.FoundrySearchResult
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# Invoke MCP search tool on Microsoft Learn server
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- kind: InvokeMcpTool
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id: invoke_docs_search
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serverUrl: https://learn.microsoft.com/api/mcp
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serverLabel: microsoft_docs
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toolName: microsoft_docs_search
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conversationId: =System.ConversationId
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arguments:
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query: =Local.SearchQuery
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output:
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autoSend: true
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result: Local.DocsSearchResult
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# Use the search agent to provide a helpful response based on results
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- kind: InvokeAzureAgent
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id: summarize_results
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agent:
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name: McpSearchAgent
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conversationId: =System.ConversationId
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input:
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messages: =UserMessage("Based on the search results for '" & Local.SearchQuery & "', please provide a helpful summary.")
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output:
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autoSend: true
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result: Local.Summary
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