Chat Command

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Features

• Interactive Loop: The CLI keeps prompting for the next task after each response, giving a continuous conversation
• Auto Loops: Runs with max_loops="auto" for autonomous operation
• Dynamic Context Window: dynamic_context_window=True — adjusts context handling automatically
• Dynamic Temperature: Adapts temperature based on conversation
• Optional Initial Task: Start with a task or begin with a prompt

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Basic Usage

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Start Chat Without Initial Task

swarms chat

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Start Chat With Initial Task

swarms chat --task "Hello, how can you help me today?"

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Advanced Usage

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Custom Agent Name

swarms chat --name "MyAssistant" --task "Let's discuss Python programming"

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Custom System Prompt

swarms chat --system-prompt "You are an expert Python developer" --task "Help me debug this code"

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Full Customization

swarms chat \
  --name "CodeReviewer" \
  --description "An expert code reviewer specializing in Python" \
  --system-prompt "You are a senior Python developer with expertise in code review and best practices" \
  --task "Review my implementation of a binary search algorithm"

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Using Python Module Directly

python3.12 -m swarms.cli.main chat --task "Hello"

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How It Works

1. The chat agent initializes with optimized settings:
   • max_loops="auto" - Autonomous loop execution
   • dynamic_context_window=True - Adaptive context management
   • dynamic_temperature_enabled=True - Adaptive response generation
   The CLI itself supplies the continuous-conversation behavior: after each task the agent runs, it prompts you for the next one and loops until you type an exit command — the agent is not created with interactive=True or an explicit context_length.
2. If you provide a --task, the agent processes it first
3. After processing, the agent continues to prompt for input
4. You can continue the conversation interactively
5. Exit by typing ‘exit’, ‘quit’, or pressing Ctrl+C

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Examples

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Quick Question

swarms chat --task "What are the best practices for Python async programming?"

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Extended Conversation

swarms chat --name "TutorBot" --system-prompt "You are a patient programming tutor"

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Code Review Session

swarms chat \
  --name "CodeReviewer" \
  --system-prompt "You are an expert code reviewer. Provide detailed feedback with suggestions." \
  --task "I'll share some code for review"

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Tips

• Use --system-prompt to customize the agent’s behavior and expertise
• Provide a --task to start with context before interactive mode
• The agent remembers conversation history within the session
• All standard agent parameters are available for customization

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Troubleshooting

# Update to latest version
swarms upgrade