.NET Workflows - WIP Declarative action update (#1761)

* WIP

* Fixed build errors (#1638)

Comment and nullable type alignment

* Sync to SDK update

* Checkpoint

* Checkpoint: Tests passing

* Checkpoint: EndWorkflow

* Add trace

* .NET: Azure.AI.Agents Package Split + Initial Extensions (#1657)

* Move packages

* Update nuget.config

* Address Xmldoc

* Remove format from branches checks

* Address Xmldocs

* Add more details to the implementation

* Moving Agent logic to ChatClient

* Adding Name and Id overrides to AzureAIAgent

* Updating extensions

* Add GetAiAgent extensions

* Adding support for version as name can conflict 409 using the Agents API with same name

* Addressing more updates to the extensions

* More improvements

* Remove debugging code from sample

* Address copilot feedback

* Apply suggestions from co-pilot code review

* Checkpoint

* Update Directory.Packages.props

Fix package version rollback:

Azure.AI.Agents.Persistent (beta-6 => beta-7)

* Add project reference

* .NET: Add comprehensive unit tests for Microsoft.Agents.AI.AzureAIAgents extension methods (#1786)

* Initial plan

* Add comprehensive unit test project for Microsoft.Agents.AI.AzureAIAgents

Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>

* Add README documenting test project and package dependency requirements

Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>

* Fix documentation URL to use learn.microsoft.com

Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>

* Bump back AAAP 1.2.0-beta.7

* Address AI generated UT's

* Remove UT Readme

* Apply suggestions from code review

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* .NET: Change model to be required just for prompt agent definition specific extensions (#1812)

* Remove unneeded model from extensions

* Add noop justification

* Update Package Nameing: V1 -> AzureAI.Persistent / V2 -> AzureAI (#1829)

* Checkpoint for merge

* No build errors

* .NET: Update Extensions for Strict Agent Definitions + Improvements (#1892)

* Update Package Nameing: V1 -> AzureAI.Persistent / V2 -> AzureAI

* Update agents and extensions to comply with strict agent definitions

* More static updates

* Address UT, and ResponseTool support

* Improving reusability extensions

* Addressing ResponseTools Unit Tests and extension setup

* Adapted workaround on breaking AAA with OpenAI 2.6.0

* Small updates

* Remove strictness when retrieving agents, improved XmlDocs

* Improve sample comments

* Update dotnet/tests/Microsoft.Agents.AI.AzureAI.UnitTests/AgentsClientExtensionsTests.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Apply suggestion from @Copilot

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Apply suggestion from @Copilot

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Address PR comments

* Address UT failing

* Address Copilot feedback

* Address Copilot feedback

* Address comment typo

* Address PR feedback

* Address typo

* Add missing Extensions with ChatClientAgentOptions

* Address comments

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Updated package version (#1897)

* Version update (#1901)

* Checkpoint

* Updated package version (#1906)

* Checkpoint

* Checkpoint

* Checkpoint

* Align with azure ai agent

* Update dotnet/samples/GettingStarted/Workflows/Declarative/StudentTeacher/Program.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/samples/GettingStarted/Workflows/Declarative/MCPToolApproval/Program.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/samples/GettingStarted/Workflows/Declarative/DeepResearch/Program.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Refactored external input

* Update dotnet/samples/GettingStarted/Workflows/Declarative/MCPToolApproval/Program.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Agent tools patch

* Demos validated

* Checkpoint

* Hygiene

* Checkpoint - Samples

* Update dotnet/samples/GettingStarted/Workflows/Declarative/StudentTeacher/Program.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/samples/GettingStarted/Workflows/Declarative/StudentTeacher/Program.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Checkpoint

* Checkpoint - Deep Research

* Update baseline

* Update

* Typo

* Checkpoint

* Typos

* Sample cleanup

* Update dotnet/src/Microsoft.Agents.AI.Workflows.Declarative/AzureAgentProvider.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/src/Microsoft.Agents.AI.AzureAI/AgentsClientExtensions.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/samples/GettingStarted/Workflows/Declarative/FunctionTools/Program.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/samples/GettingStarted/Workflows/Declarative/StudentTeacher/Program.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/samples/GettingStarted/Workflows/Declarative/ToolApproval/Program.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/samples/GettingStarted/Workflows/Declarative/DeepResearch/Program.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Typo

* Typo

* Fix input loop

* Sample - Function Calling / External Input

* Typo

* Finessed

* Checkpoint

* Fix feed

* Checkpoint - so close

* Ding dong!

* "there" ***

* Fixup comments

* Fix sample

* Code analysis

* Header

* Typo (variableName)

* Remove dead code

* Skip test (agent api ratchet)

* Comment

* Update dotnet/samples/GettingStarted/Workflows/Declarative/StudentTeacher/Program.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Typo

---------

Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>

workflow-samples/ConfirmInput.yaml

@@ -1,8 +1,8 @@
 #
-# This workflow demonstrates a single agent interaction based on user input.
+# This workflow demonstrates how to use the Question action
+# to request user input and confirm it matches the original input.
 #
-# Any Foundry Agent may be used to provide the response.
-# See: ./setup/QuestionAgent.yaml
+# Note: This workflow doesn't make use of any agents.
 #
 kind: Workflow
 trigger:

workflow-samples/DeepResearch.yaml

@@ -2,33 +2,18 @@
 # This workflow coordinates multiple agents in order to address complex user requests
 # according to the "Magentic" orchestration pattern introduced by AutoGen.
 # 
-# For this workflow, several agents used, each with a prompt specific to their role:
+# For this workflow, several agents used, each with specific roles.
 # 
-# 1. Analyst Agent: Able to analyze the current task.
-#    Enable "Bing Grounding Tool" in the agent settings.
-#    See: ./setup/AnalystAgent.yaml
-# 
-# 2. Manager Agent: Able to create plans and delegate tasks to other agents.
-#    See: ./setup/ManagerAgent.yaml
-# 
-# 3. Research Agent:
-#    Enable "Bing Grounding" in the agent settings.
-#    See: ./setup/WebAgent.yaml
+# The following agents are responsible for overseeing and coordinating the workflow:
+# - Research Agent: Analyze the current task and correlate relevant facts.
+# - Planner Agent: Analyze the current task and devise an overall plan.
+# - Manager Agent: Evaluates status and delegate tasks to other agents.
+# - Summary Agent: Evaluates status and delegate tasks to other agents.
 #
-#    With instructions: 
-#    
-#    Only provide requested information in a way that is throughfully organized and formatted.
-#    Never include any analysis or code.
-#    Never generate a file.
-#    Avoid repeating yourself.
-# 
-# 4. Coder Agent: 
-#    Enable "Code Interpreter" in the agent settings.
-#    See: ./setup/CoderAgent.yaml
-#
-# 5. Weather Agent: Able to retrieve factual information from the web.
-#    Enable "Open API" in the agent settings using the wttr.json schema.
-#    See: ./setup/WeatherAgent.yaml
+# The following agents have capabilities that are utilized to address the input task:
+# - Knowledge Agent: Performs generic web searches.
+# - Coder Agent: Able to write and execute code.
+# - Weather Agent: Provides weather information.
 # 
 kind: Workflow
 trigger:
@@ -45,18 +30,15 @@ trigger:
         =[
             {
                 name: "WeatherAgent", 
-                description: "Able to retrieve weather information",
-                agentid: Env.FOUNDRY_AGENT_RESEARCHWEATHER
+                description: "Able to retrieve weather information"
             },
             {
                 name: "CoderAgent", 
-                description: "Able to write and execute Python code",
-                agentid: Env.FOUNDRY_AGENT_RESEARCHCODER
+                description: "Able to write and execute Python code"
             },
             {
-                name: "WebAgent", 
-                description: "Able to perform generic websearches",
-                agentid: Env.FOUNDRY_AGENT_RESEARCHWEB
+                name: "KnowledgeAgent", 
+                description: "Able to perform generic websearches"
             }
         ]
 
@@ -84,38 +66,22 @@ trigger:
 
     - kind: CreateConversation
       id: conversation_1a2b3c
-      conversationId: Local.InternalConversationId
+      conversationId: Local.StatusConversationId
+
+    - kind: CreateConversation
+      id: conversation_1x2y3z
+      conversationId: Local.TaskConversationId
 
     - kind: InvokeAzureAgent
       id: question_UDoMUw
       displayName: Get Facts
-      conversationId: =Local.InternalConversationId
+      conversationId: =Local.StatusConversationId
       agent:
-        name: =Env.FOUNDRY_AGENT_RESEARCHANALYST
+        name: ResearchAgent
       output:
-        autoSend: false
         messages: Local.TaskFacts
       input:
         messages: =UserMessage(Local.InputTask)
-        additionalInstructions: |-
-          In order to help begin addressing the user request, please answer the following pre-survey to the best of your ability. 
-          Keep in mind that you are Ken Jennings-level with trivia, and Mensa-level with puzzles, so there should be a deep well to draw from.
-
-          Here is the pre-survey:
-
-              1. Please list any specific facts or figures that are GIVEN in the request itself. It is possible that there are none.
-              2. Please list any facts that may need to be looked up, and WHERE SPECIFICALLY they might be found. In some cases, authoritative sources are mentioned in the request itself.
-              3. Please list any facts that may need to be derived (e.g., via logical deduction, simulation, or computation)
-              4. Please list any facts that are recalled from memory, hunches, well-reasoned guesses, etc.
-
-          When answering this survey, keep in mind that 'facts' will typically be specific names, dates, statistics, etc. Your answer must only use the headings:
-
-              1. GIVEN OR VERIFIED FACTS
-              2. FACTS TO LOOK UP
-              3. FACTS TO DERIVE
-              4. EDUCATED GUESSES
-
-          DO NOT include any other headings or sections in your response. DO NOT list next steps or plans until asked to do so.
 
     - kind: SendActivity
       id: sendActivity_yFsbRz
@@ -124,52 +90,42 @@ trigger:
     - kind: InvokeAzureAgent
       id: question_DsBaJU
       displayName: Create a Plan
-      conversationId: =Local.InternalConversationId
+      conversationId: =Local.StatusConversationId
       agent:
-        name: =Env.FOUNDRY_AGENT_RESEARCHMANAGER
+        name: PlannerAgent
+      inputs:
+        arguments:
+          team: =Local.TeamDescription
       output:
-        autoSend: false
         messages: Local.Plan
-      input:
-        messages: =UserMessage(Local.InputTask)
-        additionalInstructions: |-
-          Your only job is to devise an efficient plan that identifies (by name) how a team member may contribute to addressing the user request.
 
-          Only select the following team which is listed as "- [Name]: [Description]"
-
-          {Local.TeamDescription}
-
-          The plan must be a bullet point list must be in the form "- [AgentName]: [Specific action or task for that agent to perform]"
-  
-          Remember, there is no requirement to involve the entire team -- only select team member's whose particular expertise is required for this task.
-
-    - kind: SetVariable
+    - kind: SetTextVariable
       id: setVariable_Kk2LDL
       displayName: Define instructions
       variable: Local.TaskInstructions
       value: |-
-        ="# TASK
+        # TASK
         Address the following user request:
 
-        " & Local.InputTask & "
+        {Local.InputTask}
 
 
         # TEAM
         Use the following team to answer this request:
 
-        " & Local.TeamDescription & "
+        {Local.TeamDescription}
 
 
         # FACTS
         Consider this initial fact sheet:
 
-        " & Trim(Last(Local.TaskFacts).Text) & "
+        {Trim(Last(Local.TaskFacts).Text)}
 
 
         # PLAN
         Here is the plan to follow as best as possible:
 
-        " & Last(Local.Plan).Text
+        {Last(Local.Plan).Text}
 
     - kind: SendActivity
       id: sendActivity_bwNZiM
@@ -178,131 +134,41 @@ trigger:
     - kind: InvokeAzureAgent
       id: question_o3BQkf
       displayName: Progress Ledger Prompt
-      conversationId: =Local.InternalConversationId
+      conversationId: =Local.StatusConversationId
       agent:
-        name: =Env.FOUNDRY_AGENT_RESEARCHMANAGER
-      output:
-        autoSend: false
-        messages: Local.ProgressLedgerUpdate
+        name: ManagerAgent
       input:
         messages: =UserMessage(Local.AgentResponseText)
-        additionalInstructions: |-
-          Recall we are working on the following request:
-
-          {Local.InputTask}
-
-          And we have assembled the following team:
-
-          {Local.TeamDescription}
-
-          To make progress on the request, please answer the following questions, including necessary reasoning:
-
-              - Is the request fully satisfied? (True if complete, or False if the original request has yet to be SUCCESSFULLY and FULLY addressed)
-              - Are we in a loop where we are repeating the same requests and / or getting the same responses from an agent multiple times? Loops can span multiple turns, and can include repeated actions like scrolling up or down more than a handful of times.
-              - Are we making forward progress? (True if just starting, or recent messages are adding value. False if recent messages show evidence of being stuck in a loop or if there is evidence of significant barriers to success such as the inability to read from a required file)
-              - Who should speak next? (select from: {Concat(Local.AvailableAgents, name, ",")}) 
-              - What instruction or question would you give this team member? (Phrase as if speaking directly to them, and include any specific information they may need)
-
-          Please output an answer in pure JSON format according to the following schema. The JSON object must be parsable as-is. DO NOT OUTPUT ANYTHING OTHER THAN JSON, AND DO NOT DEVIATE FROM THIS SCHEMA:
-
-              {{
-                  "is_request_satisfied": {{
-                      "reason": string,
-                      "answer": boolean
-                  }},
-                  "is_in_loop": {{
-                      "reason": string,
-                      "answer": boolean
-                  }},
-                  "is_progress_being_made": {{
-                      "reason": string,
-                      "answer": boolean
-                  }},
-                  "next_speaker": {{
-                      "reason": string,
-                      "answer": string (select from: {Concat(Local.AvailableAgents, name, ",")})
-                  }},
-                  "instruction_or_question": {{
-                      "reason": string,
-                      "answer": string
-                  }}
-              }}
-
-    - kind: ParseValue
-      id: parse_rNZtlV
-      displayName: Parse ledger response
-      variable: Local.TypedProgressLedger
-      value: =Last(Local.ProgressLedgerUpdate).Text
-      valueType:
-        kind: Record
-        properties:
-          instruction_or_question:
-            type:
-              kind: Record
-              properties:
-                answer: String
-                reason: String
-
-          is_in_loop:
-            type:
-              kind: Record
-              properties:
-                answer: Boolean
-                reason: String
-
-          is_progress_being_made:
-            type:
-              kind: Record
-              properties:
-                answer: Boolean
-                reason: String
-
-          is_request_satisfied:
-            type:
-              kind: Record
-              properties:
-                answer: Boolean
-                reason: String
-
-          next_speaker:
-            type:
-              kind: Record
-              properties:
-                answer: String
-                reason: String
+      output:
+        responseObject: Local.ProgressLedger
 
     - kind: ConditionGroup
       id: conditionGroup_mVIecC
       conditions:
         - id: conditionItem_fj432c
-          condition: =Local.TypedProgressLedger.is_request_satisfied.answer
+          condition: =Local.ProgressLedger.is_request_satisfied.answer
           displayName: If Done
           actions:
 
             - kind: SendActivity
               id: sendActivity_kdl3mC
-              activity: Completed! {Local.TypedProgressLedger.is_request_satisfied.reason}
+              activity: Completed! {Local.ProgressLedger.is_request_satisfied.reason}
 
             - kind: InvokeAzureAgent
               id: question_Ke3l1d
               displayName: Generate Response
-              conversationId: =System.ConversationId
+              conversationId: =Local.TaskConversationId
               agent:
-                name: =Env.FOUNDRY_AGENT_RESEARCHMANAGER
+                name: SummaryAgent
               output:
+                autoSend: true
                 messages: Local.FinalResponse
-              input:
-                messages: =Local.SeedTask
-                additionalInstructions: |-
-                  We have completed the task.
-                  Based only on the conversation and without adding any new information, synthesize the result of the conversation as a complete response to the user task.
-                  The user will only every see this last response and not the entire conversation, so please ensure it is complete and self-contained.
 
             - kind: EndConversation
               id: end_SVoNSV
 
         - id: conditionItem_yiqund
-          condition: =Local.TypedProgressLedger.is_in_loop.answer || Not(Local.TypedProgressLedger.is_progress_being_made.answer)
+          condition: =Local.ProgressLedger.is_in_loop.answer || Not(Local.ProgressLedger.is_progress_being_made.answer)
           displayName: If Stalling
           actions:
     
@@ -312,26 +178,25 @@ trigger:
               variable: Local.StallCount
               value: =Local.StallCount + 1
 
-
             - kind: ConditionGroup
               id: conditionGroup_vBTQd3
               conditions:
 
                 - id: conditionItem_fpaNL9
-                  condition: =Local.TypedProgressLedger.is_in_loop.answer
+                  condition: =Local.ProgressLedger.is_in_loop.answer
                   displayName: Is Loop
                   actions:
                     - kind: SendActivity
                       id: sendActivity_fpaNL9
-                      activity: {Local.TypedProgressLedger.is_in_loop.reason}
+                      activity: {Local.ProgressLedger.is_in_loop.reason}
 
                 - id: conditionItem_NnqvXh
-                  condition: =Not(Local.TypedProgressLedger.is_progress_being_made.answer)
+                  condition: =Not(Local.ProgressLedger.is_progress_being_made.answer)
                   displayName: Is No Progress
                   actions:
                     - kind: SendActivity
                       id: sendActivity_NnqvXh
-                      activity: {Local.TypedProgressLedger.is_progress_being_made.reason}
+                      activity: {Local.ProgressLedger.is_progress_being_made.reason}
 
 
             - kind: ConditionGroup
@@ -366,28 +231,23 @@ trigger:
                     - kind: InvokeAzureAgent
                       id: question_wFJ123
                       displayName: Get New Facts Prompt
-                      conversationId: =Local.InternalConversationId
+                      conversationId: =Local.StatusConversationId
                       agent:
-                        name: =Env.FOUNDRY_AGENT_RESEARCHANALYST
+                        name: ResearchAgent
                       output:
-                        autoSend: false
                         messages: Local.TaskFacts
                       input:
                         messages: |-
                           =UserMessage(
-                            "As a reminder, we are working to solve the following task:
+                            "It's clear we aren't making as much progress as we would like, but we may have learned something new.
+                             Please rewrite the following fact sheet, updating it to include anything new we have learned that may be helpful. 
+                             Example edits can include (but are not limited to) adding new guesses, moving educated guesses to verified facts if appropriate, etc. 
+                             Updates may be made to any section of the fact sheet, and more than one section of the fact sheet can be edited. 
+                             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.
 
-                            " & Local.InputTask)
-                        additionalInstructions: |-
-                          It's clear we aren't making as much progress as we would like, but we may have learned something new.
-                          Please rewrite the following fact sheet, updating it to include anything new we have learned that may be helpful. 
-                          Example edits can include (but are not limited to) adding new guesses, moving educated guesses to verified facts if appropriate, etc. 
-                          Updates may be made to any section of the fact sheet, and more than one section of the fact sheet can be edited. 
-                          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.
+                             Here is the old fact sheet:
 
-                          Here is the old fact sheet:
-
-                          {Local.TaskFacts}
+                             {Local.TaskFacts}"
 
                     - kind: SendActivity
                       id: sendActivity_dsBaJU
@@ -396,48 +256,48 @@ trigger:
                     - kind: InvokeAzureAgent
                       id: question_uEJ456
                       displayName: Create new Plan Prompt
-                      conversationId: =Local.InternalConversationId
+                      conversationId: =Local.StatusConversationId
                       agent:
-                        name: =Env.FOUNDRY_AGENT_RESEARCHMANAGER
+                        name: PlannerAgent
                       output:
-                        autoSend: false
                         messages: Local.Plan
                       input:
-                        additionalInstructions: |-
-                          Please briefly explain what went wrong on this last run (the root cause of the failure),
-                          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. 
-                          As before, the new plan should be concise, be expressed in bullet-point form, and consider the following team composition
-                          (do not involve any other outside people since we cannot contact anyone else):
+                        messages: |-
+                          =UserMessage(
+                             "Please briefly explain what went wrong on this last run (the root cause of the failure),
+                              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.
+                              As before, the new plan should be concise, be expressed in bullet-point form, and consider the following team composition
+                              (do not involve any other outside people since we cannot contact anyone else):
 
-                          {Local.TeamDescription}
+                              {Local.TeamDescription}")
 
-                    - kind: SetVariable
+                    - kind: SetTextVariable
                       id: setVariable_jW7tmM
                       displayName: Set Plan as Context
                       variable: Local.TaskInstructions
                       value: |-
-                        ="# TASK
+                        # TASK
                         Address the following user request:
 
-                        " & Local.InputTask & "
+                        {Local.InputTask}
 
 
                         # TEAM
                         Use the following team to answer this request:
 
-                        " & Local.TeamDescription & "
+                        {Local.TeamDescription}
                         
 
                         # FACTS
                         Consider this initial fact sheet:
 
-                        " & Local.TaskFacts.Text & "
+                        {Local.TaskFacts.Text}
 
 
                         # PLAN
                         Here is the plan to follow as best as possible:
-  
-                        " & Local.Plan.Text
+
+                        {Local.Plan.Text}
 
                     - kind: SetVariable
                       id: setVariable_6J2snP
@@ -459,19 +319,14 @@ trigger:
         - kind: SendActivity
           id: sendActivity_L7ooQO
           activity: |-
-           ({Local.TypedProgressLedger.next_speaker.reason})
+           ({Local.ProgressLedger.next_speaker.reason})
 
-           {Local.TypedProgressLedger.next_speaker.answer} - {Local.TypedProgressLedger.instruction_or_question.answer}
-
-        - kind: SetVariable
-          id: setVariable_L7ooQO
-          variable: Local.StallCount
-          value: 0
+           {Local.ProgressLedger.next_speaker.answer} - {Local.ProgressLedger.instruction_or_question.answer}
 
     - kind: SetVariable
       id: setVariable_nxN1mE
       variable: Local.NextSpeaker
-      value: =Search(Local.AvailableAgents, Local.TypedProgressLedger.next_speaker.answer, name)
+      value: =Search(Local.AvailableAgents, Local.ProgressLedger.next_speaker.answer, name)
 
     - kind: ConditionGroup
       id: conditionGroup_QFPiF5
@@ -480,19 +335,23 @@ trigger:
           condition: =CountRows(Local.NextSpeaker) = 1
           displayName: If next Agent tool Exists
           actions:
+          
+            - kind: SetVariable
+              id: setVariable_L7ooQO
+              variable: Local.StallCount
+              value: 0
 
             - kind: InvokeAzureAgent
               id: question_orsBf06
               displayName: Progress Ledger Prompt
-              conversationId: =System.ConversationId
+              conversationId: =Local.TaskConversationId
               agent:
-                name: =First(Local.NextSpeaker).agentid
+                name: =First(Local.NextSpeaker).name
               output:
+                autoSend: true
                 messages: Local.AgentResponse
               input:
-                messages: =Local.SeedTask
-                additionalInstructions: |-
-                  {Local.TypedProgressLedger.instruction_or_question.answer}
+                messages: =UserMessage(Local.ProgressLedger.instruction_or_question.answer)                 
 
             - kind: SetVariable
               id: setVariable_XzNrdM

workflow-samples/Marketing.yaml

@@ -4,9 +4,6 @@
 # Example input: 
 # An eco-friendly stainless steel water bottle that keeps drinks cold for 24 hours.
 #
-# Any Foundry Agent may be used to provide the response.
-# See: ./setup/QuestionAgent.yaml
-#
 kind: Workflow
 trigger:
 
@@ -18,31 +15,16 @@ trigger:
       id: invoke_analyst
       conversationId: =System.ConversationId
       agent:
-        name: =Env.FOUNDRY_AGENT_ANSWER
-      input:
-        additionalInstructions: |-
-          You are a marketing analyst. Given a product description, identify:
-          - Key features
-          - Target audience
-          - Unique selling points          
+        name: AnalystAgent
 
     - kind: InvokeAzureAgent
       id: invoke_writer
       conversationId: =System.ConversationId
       agent:
-        name: =Env.FOUNDRY_AGENT_ANSWER
-      input:
-        additionalInstructions: |-
-          You are a marketing copywriter. Given a block of text describing features, audience, and USPs,
-          compose a compelling marketing copy (like a newsletter section) that highlights these points.
-          Output should be short (around 150 words), output just the copy as a single text block.
+        name: WriterAgent
 
     - kind: InvokeAzureAgent
       id: invoke_editor
       conversationId: =System.ConversationId
       agent:
-        name: =Env.FOUNDRY_AGENT_ANSWER
-      input:
-        additionalInstructions: |-
-          You are an editor. Given the draft copy, correct grammar, improve clarity, ensure consistent tone,
-          give format and make it polished. Output the final improved copy as a single text block.
+        name: EditorAgent

workflow-samples/MathChat.yaml

@@ -2,27 +2,8 @@
 # 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".    
+# Example input: 
+# How would you compute the value of PI?
 #
 kind: Workflow
 trigger:
@@ -35,13 +16,13 @@ trigger:
       id: question_student
       conversationId: =System.ConversationId
       agent:
-        name: =Env.FOUNDRY_AGENT_STUDENT
+        name: StudentAgent
 
     - kind: InvokeAzureAgent
       id: question_teacher
       conversationId: =System.ConversationId
       agent:
-        name: =Env.FOUNDRY_AGENT_TEACHER
+        name: TeacherAgent
       output:
         messages: Local.TeacherResponse
 

workflow-samples/README.md

@@ -1,28 +1,17 @@
 # Declarative Workflows
 
-This folder contains sample workflow definitions than be ran using the
-[Declarative Workflow](../dotnet/samples/GettingStarted/Workflows/Declarative/ExecuteWorkflow) demo.
+A _Declarative Workflow_ is defined as a single YAML file and
+may be executed locally no different from any regular `Workflow` that is defined by code.
 
-Each workflow is defined in a single YAML file and contains 
-comments with additional information specific to that workflow.
-
-A _Declarative Workflow_ may be executed locally no different from any `Workflow` defined by code.  
-The difference is that the workflow definition is loaded from a YAML file instead of being defined in code.
+The difference is that the workflow definition is loaded from a YAML file instead of being defined in code:
 
 ```c#
-Workflow<string> workflow = DeclarativeWorkflowBuilder.Build<string>("HelloWorld.yaml", options);
+Workflow workflow = DeclarativeWorkflowBuilder.Build<string>("HelloWorld.yaml", options);
 ```
 
-Workflows may also be hosted in your _Azure Foundry Project_.
+These example workflows may be executed by the workflow
+[Samples](../dotnet/samples/GettingStarted/Workflows/Declarative)
+that are present in this repository.
 
-> _Python_ support in the works!
-
-#### Agents
-
-The sample workflows rely on agents defined in your Azure Foundry Project.
-
-To create agents, run the [`Create.ps1`](./setup) script.
-This will create the agents used in the sample workflows in your Azure Foundry Project and format a script you can copy and use to configure your environment.
-
-> Note: `Create.ps1` relies upon the `FOUNDRY_PROJECT_ENDPOINT`, `FOUNDRY_MODEL_DEPLOYMENT_NAME`, and `FOUNDRY_CONNECTION_GROUNDING_TOOL` settings.
-See [README.md](../dotnet/samples/GettingStarted/Workflows/Declarative/README.md) from the demo for configuration details.
+> See the [README.md](../dotnet/samples/GettingStarted/Workflows/Declarative/README.md) 
+ associated with the samples for configuration details.

workflow-samples/setup/.gitignore

@@ -1,405 +0,0 @@
-## Ignore Visual Studio temporary files, build results, and
-## files generated by popular Visual Studio add-ons.
-##
-## Get latest from https://github.com/github/gitignore/blob/main/VisualStudio.gitignore
-
-# User-specific files
-*.rsuser
-*.suo
-*.user
-*.userosscache
-*.sln.docstates
-
-# User-specific files (MonoDevelop/Xamarin Studio)
-*.userprefs
-
-# Mono auto generated files
-mono_crash.*
-
-# Build results
-[Dd]ebug/
-[Dd]ebugPublic/
-[Rr]elease/
-[Rr]eleases/
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-x86/
-[Ww][Ii][Nn]32/
-[Aa][Rr][Mm]/
-[Aa][Rr][Mm]64/
-[Aa][Rr][Mm]64[Ee][Cc]/
-bld/
-[Bb]in/
-[Oo]bj/
-[Ll]og/
-[Ll]ogs/
-
-# Visual Studio 2015/2017 cache/options directory
-.vs/
-# Uncomment if you have tasks that create the project's static files in wwwroot
-#wwwroot/
-
-# Visual Studio 2017 auto generated files
-Generated\ Files/
-
-# MSTest test Results
-[Tt]est[Rr]esult*/
-[Bb]uild[Ll]og.*
-
-# NUnit
-*.VisualState.xml
-TestResult.xml
-nunit-*.xml
-
-# Build Results of an ATL Project
-[Dd]ebugPS/
-[Rr]eleasePS/
-dlldata.c
-
-# Benchmark Results
-BenchmarkDotNet.Artifacts/
-
-# .NET Core
-project.lock.json
-project.fragment.lock.json
-artifacts/
-
-# ASP.NET Scaffolding
-ScaffoldingReadMe.txt
-
-# StyleCop
-StyleCopReport.xml
-
-# Files built by Visual Studio
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-# but not Directory.Build.rsp, as it configures directory-level build defaults
-!Directory.Build.rsp
-*.sbr
-*.tlb
-*.tli
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-*.tmp
-*.tmp_proj
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-
-# Chutzpah Test files
-_Chutzpah*
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-ipch/
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-# Visual Studio profiler
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-$tf/
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-*.[Rr]e[Ss]harper
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-
-# TeamCity is a build add-in
-_TeamCity*
-
-# DotCover is a Code Coverage Tool
-*.dotCover
-
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-
-# Coverlet is a free, cross platform Code Coverage Tool
-coverage*.json
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-
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-# NCrunch
-_NCrunch_*
-.NCrunch_*
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-
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-*.mm.*
-AutoTest.Net/
-
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-
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-[Ee]xpress/
-
-# DocProject is a documentation generator add-in
-DocProject/buildhelp/
-DocProject/Help/*.HxT
-DocProject/Help/*.HxC
-DocProject/Help/*.hhc
-DocProject/Help/*.hhk
-DocProject/Help/*.hhp
-DocProject/Help/Html2
-DocProject/Help/html
-
-# Click-Once directory
-publish/
-
-# Publish Web Output
-*.[Pp]ublish.xml
-*.azurePubxml
-# Note: Comment the next line if you want to checkin your web deploy settings,
-# but database connection strings (with potential passwords) will be unencrypted
-*.pubxml
-*.publishproj
-
-# Microsoft Azure Web App publish settings. Comment the next line if you want to
-# checkin your Azure Web App publish settings, but sensitive information contained
-# in these scripts will be unencrypted
-PublishScripts/
-
-# NuGet Packages
-*.nupkg
-# NuGet Symbol Packages
-*.snupkg
-# The packages folder can be ignored because of Package Restore
-**/[Pp]ackages/*
-# except build/, which is used as an MSBuild target.
-!**/[Pp]ackages/build/
-# Uncomment if necessary however generally it will be regenerated when needed
-#!**/[Pp]ackages/repositories.config
-# NuGet v3's project.json files produces more ignorable files
-*.nuget.props
-*.nuget.targets
-
-# Microsoft Azure Build Output
-csx/
-*.build.csdef
-
-# Microsoft Azure Emulator
-ecf/
-rcf/
-
-# Windows Store app package directories and files
-AppPackages/
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-
-# Visual Studio cache files
-# files ending in .cache can be ignored
-*.[Cc]ache
-# but keep track of directories ending in .cache
-!?*.[Cc]ache/
-
-# Others
-ClientBin/
-~$*
-*~
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-
-# Including strong name files can present a security risk
-# (https://github.com/github/gitignore/pull/2483#issue-259490424)
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-
-# Since there are multiple workflows, uncomment next line to ignore bower_components
-# (https://github.com/github/gitignore/pull/1529#issuecomment-104372622)
-#bower_components/
-
-# RIA/Silverlight projects
-Generated_Code/
-
-# Backup & report files from converting an old project file
-# to a newer Visual Studio version. Backup files are not needed,
-# because we have git ;-)
-_UpgradeReport_Files/
-Backup*/
-UpgradeLog*.XML
-UpgradeLog*.htm
-ServiceFabricBackup/
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-
-# SQL Server files
-*.mdf
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-
-# Business Intelligence projects
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-*.bim_*.settings
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-*- [Bb]ackup.rdl
-*- [Bb]ackup ([0-9]).rdl
-*- [Bb]ackup ([0-9][0-9]).rdl
-
-# Microsoft Fakes
-FakesAssemblies/
-
-# GhostDoc plugin setting file
-*.GhostDoc.xml
-
-# Node.js Tools for Visual Studio
-.ntvs_analysis.dat
-node_modules/
-
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-# Visual Studio 6 workspace options file
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-
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-.paket/paket.exe
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-.fake/
-
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-# !tools/packages.config
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-*.jmconfig
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-MigrationBackup/
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-
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-.history/
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workflow-samples/setup/AnalystAgent.yaml

@@ -1,10 +0,0 @@
-type: foundry_agent
-name: ResearchAnalyst
-description: Demo agent for DeepResearch workflow
-model:
-  id: ${FOUNDRY_MODEL_DEPLOYMENT_NAME}
-tools:
-  - type: bing_grounding
-    options:
-      tool_connections:
-        - ${FOUNDRY_CONNECTION_GROUNDING_TOOL}

workflow-samples/setup/CoderAgent.yaml

@@ -1,7 +0,0 @@
-type: foundry_agent
-name: ResearchCoder
-description: Demo agent for DeepResearch workflow
-model:
-  id: ${FOUNDRY_MODEL_DEPLOYMENT_NAME}
-tools:
-  - type: code_interpreter

workflow-samples/setup/Create.ps1

@@ -1,3 +0,0 @@
-pushd ./CreateAgents
-dotnet run
-popd

workflow-samples/setup/CreateAgents/CreateAgents.csproj

@@ -1,20 +0,0 @@
-<Project Sdk="Microsoft.NET.Sdk">
-
-  <PropertyGroup>
-    <OutputType>Exe</OutputType>
-    <TargetFramework>net9.0</TargetFramework>
-    <ImplicitUsings>enable</ImplicitUsings>
-    <Nullable>enable</Nullable>
-    <UserSecretsId>5ee045b0-aea3-4f08-8d31-32d1a6f8fed0</UserSecretsId>
-    <NoWarn>SKEXP0110</NoWarn>
-  </PropertyGroup>
-
-  <ItemGroup>
-    <PackageReference Include="Microsoft.Extensions.Configuration" Version="9.0.8" />
-    <PackageReference Include="Microsoft.Extensions.Configuration.EnvironmentVariables" Version="9.0.8" />
-    <PackageReference Include="Microsoft.Extensions.Configuration.UserSecrets" Version="9.0.8" />
-    <PackageReference Include="Microsoft.SemanticKernel.Agents.AzureAI" Version="1.64.0-preview" />
-    <PackageReference Include="Microsoft.SemanticKernel.Agents.Yaml" Version="1.64.0-beta" />
-  </ItemGroup>
-
-</Project>

workflow-samples/setup/CreateAgents/CreateAgents.slnx

@@ -1,15 +0,0 @@
-<Solution>
-  <Folder Name="/Agents/">
-    <File Path="../AnalystAgent.yaml" />
-    <File Path="../CoderAgent.yaml" />
-    <File Path="../Create.ps1" />
-    <File Path="../ManagerAgent.yaml" />
-    <File Path="../QuestionAgent.yaml" />
-    <File Path="../README.md" />
-    <File Path="../StudentAgent.yaml" />
-    <File Path="../TeacherAgent.yaml" />
-    <File Path="../WeatherAgent.yaml" />
-    <File Path="../WebAgent.yaml" />
-  </Folder>
-  <Project Path="CreateAgents.csproj" />
-</Solution>

workflow-samples/setup/CreateAgents/Program.cs

@@ -1,68 +0,0 @@
-using Azure.AI.Agents.Persistent;
-using Azure.AI.Projects;
-using Azure.Identity;
-using Microsoft.Extensions.Configuration;
-using Microsoft.Extensions.DependencyInjection;
-using Microsoft.SemanticKernel;
-using Microsoft.SemanticKernel.Agents;
-using Microsoft.SemanticKernel.Agents.AzureAI;
-using System.Reflection;
-using System.Text;
-
-// Define FOUNDRY_PROJECT_ENDPOINT as a user-secret or environment variable that
-// points to your Foundry project endpoint.
-
-IConfigurationRoot config =
-        new ConfigurationBuilder()
-            .AddUserSecrets(Assembly.GetExecutingAssembly())
-            .AddEnvironmentVariables()
-            .Build();
-
-string projectEndpoint = config["FOUNDRY_PROJECT_ENDPOINT"] ?? throw new InvalidOperationException("Undefined configuration: FOUNDRY_PROJECT_ENDPOINT");
-Console.WriteLine($"{Environment.NewLine}Foundry: {projectEndpoint}");
-
-StringBuilder scriptBuilder = new();
-StringBuilder secretBuilder = new();
-string[] files = args.Length > 0 ? args : Directory.GetFiles(@"..\", "*.yaml");
-foreach (string file in files)
-{
-    string agentText = await File.ReadAllTextAsync(file);
-
-    PersistentAgentsClient clientAgents = new(projectEndpoint, new AzureCliCredential());
-
-    AIProjectClient clientProject = new(new Uri(projectEndpoint), new AzureCliCredential());
-
-    IKernelBuilder kernelBuilder = Kernel.CreateBuilder();
-    kernelBuilder.Services.AddSingleton(clientAgents);
-    kernelBuilder.Services.AddSingleton(clientProject);
-    Kernel kernel = kernelBuilder.Build();
-
-    AzureAIAgentFactory factory = new();
-    Agent? agent = await factory.CreateAgentFromYamlAsync(agentText, new AgentCreationOptions() { Kernel = kernel }, config);
-    if (agent is null)
-    {
-        Console.WriteLine("Unexpected failure creating agent...");
-        continue;
-    }    
-
-    Console.WriteLine();
-    Console.WriteLine(Path.GetFileName(file));
-    Console.WriteLine($"  Id:   {agent?.Id ?? "???"}");
-    Console.WriteLine($"  Name: {agent?.Name ?? agent?.Id}");
-    Console.WriteLine($"  Note: {agent?.Description}");
-
-    scriptBuilder.AppendLine($"$env:FOUNDRY_AGENT_{agent?.Name?.ToUpperInvariant()} = '{agent?.Id}'");
-    secretBuilder.AppendLine($"dotnet user-secrets set FOUNDRY_AGENT_{agent?.Name?.ToUpperInvariant()} {agent?.Id}");
-}
-
-Console.WriteLine();
-Console.WriteLine();
-Console.WriteLine("To set these environment variables in your shell, run:");
-Console.WriteLine();
-Console.WriteLine(scriptBuilder);
-Console.WriteLine();
-Console.WriteLine();
-Console.WriteLine("To define user secrets, run:");
-Console.WriteLine();
-Console.WriteLine(secretBuilder);
-Console.WriteLine();

workflow-samples/setup/CreateAgents/nuget.config

@@ -1,12 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<configuration>
-  <packageSources>
-    <clear />
-    <add key="nuget.org" value="https://api.nuget.org/v3/index.json" />
-  </packageSources>
-  <packageSourceMapping>
-    <packageSource key="nuget.org">
-      <package pattern="*" />
-    </packageSource>
-  </packageSourceMapping>
-</configuration>

workflow-samples/setup/ManagerAgent.yaml

@@ -1,5 +0,0 @@
-type: foundry_agent
-name: ResearchManager
-description: Demo agent for DeepResearch workflow
-model:
-  id: ${FOUNDRY_MODEL_DEPLOYMENT_NAME}

workflow-samples/setup/QuestionAgent.yaml

@@ -1,10 +0,0 @@
-type: foundry_agent
-name: Answer
-description: Demo agent for Question workflow
-model:
-  id: ${FOUNDRY_MODEL_DEPLOYMENT_NAME}
-tools:
-  - type: bing_grounding
-    options:
-      tool_connections:
-        - ${FOUNDRY_CONNECTION_GROUNDING_TOOL}

workflow-samples/setup/README.md

@@ -1,14 +0,0 @@
-# Agent Definitions
-
-The sample workflows rely on agents defined in your Azure Foundry Project.
-
-These agent definitions are based on _Semantic Kernel_'s _Declarative Agent_ feature:
-
-- [Semantic Kernel Agents](https://github.com/microsoft/semantic-kernel/tree/main/dotnet/src/Agents)
-- [Declarative Agent Extensions](https://github.com/microsoft/semantic-kernel/tree/main/dotnet/src/Agents/Yaml)
-- [Sample](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/AzureAIAgent/Step08_AzureAIAgent_Declarative.cs)
-
-To create agents, run the [`Create.ps1`](./Create.ps1) script.
-This will create the agents for the sample workflows in your Azure Foundry Project and format a script you can copy and use to configure your environment.
-
-> Note: `Create.ps1` relies upon the `FOUNDRY_PROJECT_ENDPOINT` setting.  See [README.md](../../dotnet/samples/GettingStarted/Workflows/Declarative/README.md) from the demo for configuration details.

workflow-samples/setup/StudentAgent.yaml

@@ -1,10 +0,0 @@
-type: foundry_agent
-name: Student
-description: Student agent for MathChat workflow
-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.
-model:
-  id: ${FOUNDRY_MODEL_DEPLOYMENT_NAME}

workflow-samples/setup/TeacherAgent.yaml

@@ -1,10 +0,0 @@
-type: foundry_agent
-name: Teacher
-description: Teacher agent for MathChat workflow
-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 congraluations by using the word "congratulations".
-model:
-  id: ${FOUNDRY_MODEL_DEPLOYMENT_NAME}

workflow-samples/setup/WeatherAgent.yaml

@@ -1,62 +0,0 @@
-type: foundry_agent
-name: ResearchWeather
-description: Demo agent for DeepResearch workflow
-model:
-  id: ${FOUNDRY_MODEL_DEPLOYMENT_NAME}
-tools:
-  - type: openapi
-    id: GetCurrentWeather
-    description: Retrieves current weather data for a location based on wttr.in.
-    options:
-      specification: |
-        {
-          "openapi": "3.1.0",
-          "info": {
-            "title": "Get weather data",
-            "description": "Retrieves current weather data for a location based on wttr.in.",
-            "version": "v1.0.0"
-          },
-          "servers": [
-            {
-              "url": "https://wttr.in"
-            }
-          ],
-          "paths": {
-            "/{location}": {
-              "get": {
-                "description": "Get weather information for a specific location",
-                "operationId": "GetCurrentWeather",
-                "parameters": [
-                  {
-                    "name": "location",
-                    "in": "path",
-                    "description": "City or location to retrieve the weather for",
-                    "required": true,
-                    "schema": {
-                      "type": "string"
-                    }
-                  }
-                ],
-                "responses": {
-                  "200": {
-                    "description": "Successful response",
-                    "content": {
-                      "text/plain": {
-                        "schema": {
-                          "type": "string"
-                        }
-                      }
-                    }
-                  },
-                  "404": {
-                    "description": "Location not found"
-                  }
-                },
-                "deprecated": false
-              }
-            }
-          },
-          "components": {
-            "schemas": {}
-          }
-        }

workflow-samples/setup/WebAgent.yaml

@@ -1,15 +0,0 @@
-type: foundry_agent
-name: ResearchWeb
-description: Demo agent for DeepResearch workflow
-instructions: |-
-  Only provide requested information in a way that is throughfully organized and formatted.
-  Never include any analysis or code.
-  Never generate a file.
-  Avoid repeating yourself.
-model:
-  id: ${FOUNDRY_MODEL_DEPLOYMENT_NAME}
-tools:
-  - type: bing_grounding
-    options:
-      tool_connections:
-        - ${FOUNDRY_CONNECTION_GROUNDING_TOOL}

workflow-samples/wttr.json

@@ -1,51 +0,0 @@
-{
-  "openapi": "3.1.0",
-  "info": {
-    "title": "Get weather data",
-    "description": "Retrieves current weather data for a location based on wttr.in.",
-    "version": "v1.0.0"
-  },
-  "servers": [
-    {
-      "url": "https://wttr.in"
-    }
-  ],
-  "paths": {
-    "/{location}": {
-      "get": {
-        "description": "Get weather information for a specific location",
-        "operationId": "GetCurrentWeather",
-        "parameters": [
-          {
-            "name": "location",
-            "in": "path",
-            "description": "City or location to retrieve the weather for",
-            "required": true,
-            "schema": {
-              "type": "string"
-            }
-          }
-        ],
-        "responses": {
-          "200": {
-            "description": "Successful response",
-            "content": {
-              "text/plain": {
-                "schema": {
-                  "type": "string"
-                }
-              }
-            }
-          },
-          "404": {
-            "description": "Location not found"
-          }
-        },
-        "deprecated": false
-      }
-    }
-  },
-  "components": {
-    "schemas": {}
-  }
-}