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https://github.com/MervinPraison/PraisonAI.git
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Dhivya-BharathyandCursor
bc8a39dd29
- Fix AgentTeam.start() result handling across 22+ workflow/usecase examples - Fix missing AgentFlow/AgentTeam/AutoAgents imports and registry override demo - Fix scope_identifiers, state_redis db import, and ToolsMCPServer.run_sse API - Mark STT and stale tool-import examples as skip until refreshed - Remove stale db mapping that shadowed praisonaiagents.db submodule Co-authored-by: Cursor <[email protected]>
63 lines
1.7 KiB
Python
63 lines
1.7 KiB
Python
from praisonaiagents.agents.agents import Agent, Task, Agents, AgentTeam
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from praisonaiagents.tools import duckduckgo
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# Test facts
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fact1 = "The capital city of Jujuha is Hahanu and its population is 102300"
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fact2 = "Three main ingredients in a classic proloder are eggs, sugar, and flour"
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fact3 = "The year the first Josinga was released is 2007"
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fact_agent = Agent(
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name="Fact Agent",
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instructions="You are a fact agent, you store and retrieve facts in memory",
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llm="gpt-4o-mini"
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)
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research_agent = Agent(
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name="Research Agent",
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instructions="You are a research analyst, you research and document key points about topics",
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llm="gpt-4o-mini"
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)
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blog_agent = Agent(
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name="Blog Agent",
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instructions="You are a blog writer, you write a blog post about the research",
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llm="gpt-4o-mini"
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)
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fact_task = Task(
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description="Store the following facts in memory: " + fact1 + ", " + fact2 + ", " + fact3,
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agent=fact_agent
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)
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research_task = Task(
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description="Research and document 2 key points about AI",
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agent=research_agent
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)
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research_task2 = Task(
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description="Research and document 2 key points about AI in healthcare",
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agent=research_agent
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)
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research_task3 = Task(
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description="Research and document 2 key points about AI in education",
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agent=research_agent
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)
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research_task4 = Task(
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description="Research and document 2 key points about AI in finance",
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agent=research_agent
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)
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blog_task = Task(
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description="Write a blog post about Jujuha",
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agent=blog_agent
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)
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agents = AgentTeam(
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agents=[fact_agent, research_agent, blog_agent],
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tasks=[fact_task, research_task, research_task2, research_task3, research_task4, blog_task],
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memory=True
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)
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agents.start() |