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Concepts Agent Generate agents that belongs to your company. The Agent class is the core agent implementation in Upsonic, providing a powerful and flexible interface for creating AI agents with advanced capabilities including memory management, safety policies, reliability layers, and sophisticated tool integration.

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Overview

The Agent can be created with minimal configuration or with extensive customization to suit your specific needs. The agent provides a robust foundation for AI-powered applications with built-in support for various advanced features.

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Key Features

  • Memory Management: Built-in support for session memory, user profiles, and conversation history
  • Safety Policies: Configurable user and agent policies for content filtering and validation
  • Reliability Layer: Advanced hallucination prevention and content validation
  • Tool Integration: Sophisticated tool processing with behavioral wrappers
  • Thinking & Reasoning: Optional advanced reasoning capabilities for complex tasks
  • Multi-Model Support: Works with OpenAI, Anthropic, Google, and others!
  • Streaming: Real-time response streaming for better user experience
  • Caching: Built-in caching system for improved performance
  • Canvas Integration: Support for persistent text editing and collaboration

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Example

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Basic Example

from upsonic import Agent, Task

# Create an agent
agent = Agent("openai/gpt-4o")

# Create a task
task = Task("What is 2 + 2?")

# Execute the task
result = agent.do(task)
print(result)  # Output: 4
When creating an agent without specifying a model, it defaults to "openai/gpt-4o". Make sure you have the appropriate API key set in your environment.

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Deep Agent Example

from upsonic import DeepAgent, Task

# Create a deep agent
agent = DeepAgent("openai/gpt-4o")

# Create a complex task
task = Task(
    description="Research Python web frameworks and create a comparison report"
)

# Execute - agent will automatically create todos and manage the workflow
result = agent.do(task)
print(result)