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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Choose a Model

swarms chat --model-name claude-sonnet-4-6 --task "Summarize the trade-offs of async Python"

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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
   • temperature=1.0 - Starting temperature
   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, bye, or q (or pressing Enter on an empty prompt)

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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
• chat reads only --name, --description, --system-prompt, --model-name, and --task; other agent flags are ignored

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Troubleshooting

# Update to latest version
swarms upgrade