mirror of
https://github.com/MervinPraison/PraisonAI.git
synced 2026-11-07 12:47:55 -10:00
Mervin Praison
83ca07a9a9
- Remove `verbose` parameter from Agents() calls across all examples - Remove `markdown` parameter from Agent() initialization - Change `model` to `llm` in observability example - Remove unused `kind` parameter from obs.span() - Fix thinking_budget initialization to use property setter instead of constructor - Add missing `instructions` parameter to routellm_example.py Agent
35 lines
991 B
Python
35 lines
991 B
Python
from praisonaiagents import Agent, Task, Agents
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# Create Video Analysis Agent
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video_agent = Agent(
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name="VideoAnalyst",
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role="Video Analysis Specialist",
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goal="Analyze images and videos to extract meaningful information",
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backstory="""You are an expert in computer vision and image analysis.
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You excel at describing images, detecting objects, and understanding visual content.""",
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llm="gpt-4o-mini",
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reflection=False
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)
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# Task with Video File
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task1 = Task(
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name="analyze_video",
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description="""Watch this video and provide:
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1. A summary of the main events
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2. Key objects and people visible
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3. Any text or important information shown
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4. The overall context and setting""",
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expected_output="Comprehensive analysis of the video content",
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agent=video_agent,
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images=["video.mp4"]
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)
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# Create Agents instance
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agents = Agents(
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agents=[video_agent],
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tasks=[task1],
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process="sequential",
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)
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# Run all tasks
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agents.start() |