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---
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- title : " Part 5: Agentic AI: Team Coordination Mode in Action "
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+ title : " Part 5: Agentic AI: Team Coordination Mode in action "
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date : 2025-07-21T07:24:24.522Z
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author : Dinesh R Singh
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authorimage : /img/dinesh-192-192.jpg
@@ -45,7 +45,7 @@ Let’s examine a professional-grade configuration of a New York Times-style edi
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### Imports
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- ```
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+ ``` python
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from agno.agent import Agent
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from agno.models.openai import OpenAIChat
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from agno.team.team import Team
@@ -55,7 +55,7 @@ from agno.tools.read import Newspaper4kTools
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### Searcher Agent
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- ```
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+ ``` python
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searcher = Agent(
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name = " Searcher" ,
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role = " Searches the top URLs for a topic" ,
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### Writer Agent
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- ```
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+ ``` python
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writer = Agent(
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name = " Writer" ,
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role = " Writes a high-quality article" ,
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### Editor Team (Manager Agent in Coordinate Mode)
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- ```
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+ ``` python
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editor = Team(
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name = " Editor" ,
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mode = " coordinate" ,
@@ -111,7 +111,7 @@ editor = Team(
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### Running the Team
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- ```
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+ ``` python
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Method 1 : Print output directly
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editor.print_response(" Write an article about latest developments in AI." )
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@@ -134,7 +134,7 @@ response = editor.run("Write an article about latest developments in AI.")
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<td>Enables structured delegation and task flow</td>
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</tr>
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<tr>
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- <td><code>members=\\\[...]</code></td>
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+ <td><code>members=\\\\ [...]</code></td>
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<td>Assigns role-specific agents</td>
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</tr>
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<tr>
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Adding success_criteria helps agents align their efforts with measurable outcomes.
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- ```
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+ ``` python
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strategy_team = Team(
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members = [market_analyst, competitive_analyst, strategic_planner],
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mode = " coordinate" ,
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