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agent-framework/workflow-samples/DeepResearch.yaml
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Chris 00a78d7bc6 .NET Workflows - Sample and Package Update (#1759) 
* Update #1

* Sample comments

* Formatting

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2025-10-28 23:26:55 +00:00

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#
# 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:
#
# 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
#
# 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
#
kind: Workflow
trigger:
kind: OnConversationStart
id: workflow_demo
actions:
- kind: SetVariable
id: setVariable_aASlmF
displayName: List all available agents for this orchestrator
variable: Local.AvailableAgents
value: |-
=[
{
name: "WeatherAgent",
description: "Able to retrieve weather information",
agentid: Env.FOUNDRY_AGENT_RESEARCHWEATHER
},
{
name: "CoderAgent",
description: "Able to write and execute Python code",
agentid: Env.FOUNDRY_AGENT_RESEARCHCODER
},
{
name: "WebAgent",
description: "Able to perform generic websearches",
agentid: Env.FOUNDRY_AGENT_RESEARCHWEB
}
]
- kind: SetVariable
id: setVariable_V6yEbo
displayName: Get a summary of all the agents for use in prompts
variable: Local.TeamDescription
value: "=Concat(ForAll(Local.AvailableAgents, $\"- \" & name & $\": \" & description), Value, \"\n\")"
- kind: SetVariable
id: setVariable_NZ2u0l
displayName: Set Task
variable: Local.InputTask
value: =System.LastMessage.Text
- kind: SetVariable
id: setVariable_10u2ZN
displayName: Set Task
variable: Local.SeedTask
value: =UserMessage(Local.InputTask)
- kind: SendActivity
id: sendActivity_yFsbRy
activity: Analyzing facts...
- kind: CreateConversation
id: conversation_1a2b3c
conversationId: Local.InternalConversationId
- kind: InvokeAzureAgent
id: question_UDoMUw
displayName: Get Facts
conversationId: =Local.InternalConversationId
agent:
name: =Env.FOUNDRY_AGENT_RESEARCHANALYST
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
activity: Creating a plan...
- kind: InvokeAzureAgent
id: question_DsBaJU
displayName: Create a Plan
conversationId: =Local.InternalConversationId
agent:
name: =Env.FOUNDRY_AGENT_RESEARCHMANAGER
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
id: setVariable_Kk2LDL
displayName: Define instructions
variable: Local.TaskInstructions
value: |-
="# TASK
Address the following user request:
" & Local.InputTask & "
# TEAM
Use the following team to answer this request:
" & Local.TeamDescription & "
# FACTS
Consider this initial fact sheet:
" & Trim(Last(Local.TaskFacts).Text) & "
# PLAN
Here is the plan to follow as best as possible:
" & Last(Local.Plan).Text
- kind: SendActivity
id: sendActivity_bwNZiM
activity: {Local.TaskInstructions}
- kind: InvokeAzureAgent
id: question_o3BQkf
displayName: Progress Ledger Prompt
conversationId: =Local.InternalConversationId
agent:
name: =Env.FOUNDRY_AGENT_RESEARCHMANAGER
output:
autoSend: false
messages: Local.ProgressLedgerUpdate
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
- kind: ConditionGroup
id: conditionGroup_mVIecC
conditions:
- id: conditionItem_fj432c
condition: =Local.TypedProgressLedger.is_request_satisfied.answer
displayName: If Done
actions:
- kind: SendActivity
id: sendActivity_kdl3mC
activity: Completed! {Local.TypedProgressLedger.is_request_satisfied.reason}
- kind: InvokeAzureAgent
id: question_Ke3l1d
displayName: Generate Response
conversationId: =System.ConversationId
agent:
name: =Env.FOUNDRY_AGENT_RESEARCHMANAGER
output:
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)
displayName: If Stalling
actions:
- kind: SetVariable
id: setVariable_H5lXdD
displayName: Increase stall count
variable: Local.StallCount
value: =Local.StallCount + 1
- kind: ConditionGroup
id: conditionGroup_vBTQd3
conditions:
- id: conditionItem_fpaNL9
condition: =Local.TypedProgressLedger.is_in_loop.answer
displayName: Is Loop
actions:
- kind: SendActivity
id: sendActivity_fpaNL9
activity: {Local.TypedProgressLedger.is_in_loop.reason}
- id: conditionItem_NnqvXh
condition: =Not(Local.TypedProgressLedger.is_progress_being_made.answer)
displayName: Is No Progress
actions:
- kind: SendActivity
id: sendActivity_NnqvXh
activity: {Local.TypedProgressLedger.is_progress_being_made.reason}
- kind: ConditionGroup
id: conditionGroup_xzNrdM
conditions:
- id: conditionItem_NlQTBv
condition: =Local.StallCount > 2
displayName: Stall Count Exceeded
actions:
- kind: SendActivity
id: sendActivity_H5lXdD
activity: Unable to make sufficient progress...
- kind: ConditionGroup
id: conditionGroup_4s1Z27
conditions:
- id: conditionItem_EXAlhZ
condition: =Local.RestartCount > 2
actions:
- kind: SendActivity
id: sendActivity_xKxFUU
activity: Stopping after attempting {Local.RestartCount} restarts...
- kind: EndConversation
id: end_GHVrFh
- kind: SendActivity
id: sendActivity_cwNZiM
activity: Re-analyzing facts...
- kind: InvokeAzureAgent
id: question_wFJ123
displayName: Get New Facts Prompt
conversationId: =Local.InternalConversationId
agent:
name: =Env.FOUNDRY_AGENT_RESEARCHANALYST
output:
autoSend: false
messages: Local.TaskFacts
input:
messages: |-
=UserMessage(
"As a reminder, we are working to solve the following task:
" & 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:
{Local.TaskFacts}
- kind: SendActivity
id: sendActivity_dsBaJU
activity: Re-analyzing plan...
- kind: InvokeAzureAgent
id: question_uEJ456
displayName: Create new Plan Prompt
conversationId: =Local.InternalConversationId
agent:
name: =Env.FOUNDRY_AGENT_RESEARCHMANAGER
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):
{Local.TeamDescription}
- kind: SetVariable
id: setVariable_jW7tmM
displayName: Set Plan as Context
variable: Local.TaskInstructions
value: |-
="# TASK
Address the following user request:
" & Local.InputTask & "
# TEAM
Use the following team to answer this request:
" & Local.TeamDescription & "
# FACTS
Consider this initial fact sheet:
" & Local.TaskFacts.Text & "
# PLAN
Here is the plan to follow as best as possible:
" & Local.Plan.Text
- kind: SetVariable
id: setVariable_6J2snP
displayName: Reset Stall count
variable: Local.StallCount
value: 0
- kind: SetVariable
id: setVariable_S6HCgh
displayName: Increase Restart count
variable: Local.RestartCount
value: =Local.RestartCount + 1
- kind: GotoAction
id: goto_LzfJ8u
actionId: question_o3BQkf
elseActions:
- kind: SendActivity
id: sendActivity_L7ooQO
activity: |-
({Local.TypedProgressLedger.next_speaker.reason})
{Local.TypedProgressLedger.next_speaker.answer} - {Local.TypedProgressLedger.instruction_or_question.answer}
- kind: SetVariable
id: setVariable_L7ooQO
variable: Local.StallCount
value: 0
- kind: SetVariable
id: setVariable_nxN1mE
variable: Local.NextSpeaker
value: =Search(Local.AvailableAgents, Local.TypedProgressLedger.next_speaker.answer, name)
- kind: ConditionGroup
id: conditionGroup_QFPiF5
conditions:
- id: conditionItem_GmigcU
condition: =CountRows(Local.NextSpeaker) = 1
displayName: If next Agent tool Exists
actions:
- kind: InvokeAzureAgent
id: question_orsBf06
displayName: Progress Ledger Prompt
conversationId: =System.ConversationId
agent:
name: =First(Local.NextSpeaker).agentid
output:
messages: Local.AgentResponse
input:
messages: =Local.SeedTask
additionalInstructions: |-
{Local.TypedProgressLedger.instruction_or_question.answer}
- kind: SetVariable
id: setVariable_XzNrdM
variable: Local.AgentResponseText
value: =Last(Local.AgentResponse).Text
- kind: ResetVariable
id: setVariable_8eIx2A
displayName: Clear seed task
variable: Local.SeedTask
elseActions:
- kind: SendActivity
id: sendActivity_BhcsI7
activity: Unable to choose next agent...
- kind: SetVariable
id: setVariable_BhcsI7
displayName: Increase stall count
variable: Local.StallCount
value: =Local.StallCount + 1
- kind: GotoAction
id: goto_76Hne8
actionId: question_o3BQkf
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