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				| @ -0,0 +1,14 @@ | |||||||
|  | from swarms import Worker, Orchestrator | ||||||
|  | 
 | ||||||
|  | node = Worker( | ||||||
|  |     openai_api_key="", | ||||||
|  |     ai_name="Optimus Prime", | ||||||
|  | 
 | ||||||
|  | ) | ||||||
|  | 
 | ||||||
|  | 
 | ||||||
|  | # Instantiate the Orchestrator with 10 agents | ||||||
|  | orchestrator = Orchestrator(node, agent_list=[node]*10, task_queue=[]) | ||||||
|  | 
 | ||||||
|  | # Agent 7 sends a message to Agent 9 | ||||||
|  | orchestrator.chat(sender_id=7, receiver_id=9, message="Can you help me with this task?") | ||||||
| @ -1,6 +1,11 @@ | |||||||
| from swarms.structs.workflow import Workflow |  | ||||||
| 
 | 
 | ||||||
| workflow = Workflow() | from swarms import Workflow | ||||||
|  | from swarms.tools.autogpt import ChatOpenAI | ||||||
| 
 | 
 | ||||||
| workflow.add('Find 50 ceos in linkedin in agriculture ') | workflow = Workflow(ChatOpenAI) | ||||||
| 
 | 
 | ||||||
|  | workflow.add("What's the weather in miami") | ||||||
|  | workflow.add("Provide details for {{ parent_output }}") | ||||||
|  | workflow.add("Summarize the above information: {{ parent_output}}") | ||||||
|  | 
 | ||||||
|  | workflow.run() | ||||||
|  | |||||||
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