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AI Agents Pattern

Build autonomous AI agents that reason, use tools, and complete multi-step tasks with iterative execution loops.

What's Included#

  • Agent loop architecture with tool execution and response cycling
  • Multiple tool integration with dynamic tool selection
  • Streaming agent responses for real-time feedback during execution
  • Error handling and recovery for failed tool executions
  • Conversation history management across agent turns
  • Agent state tracking for complex multi-step workflows

Usage#

Via CLI#

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Via AI Assistant#

Ask your AI assistant:

  • "Use the AI agents pattern from Bootspring"
  • "Apply the Bootspring AI agents pattern to my project"

Key Considerations#

  • Set maximum iteration limits to prevent infinite tool execution loops
  • Log each agent step for debugging and observability of decision chains
  • Implement timeout controls for long-running tool executions
  • Validate tool outputs before passing them back to the model
  • Design tools with clear, specific descriptions so the model selects them accurately

Related Patterns#