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v1.4.3 - Agent Intelligence & Tool System Improvements

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@sizzlebop sizzlebop released this 29 Aug 05:21
· 35 commits to main since this release
v1.4.3
c0ead5f

🎯 Agent Intelligence & Tool System Improvements

Version 1.4.3 delivers critical fixes for agent intelligence and task completion reliability, ensuring smoother workflows and proper conversation management.

🔧 Critical Fixes

MCP Tool Result Processing

  • FIXED: LLM missing complete tool output data that users could see
  • Enhanced McpClient.callTool method to preserve complete MCP result content by combining all content items
  • Resolved agent making incorrect tool calls due to incomplete data in conversation context
  • Ensures agent sees same comprehensive information as users (e.g., correct library IDs like /tailwindlabs/tailwindcss.com)

Conversation Termination Logic

  • FIXED: Premature conversation ending when agent said "I will now..." instead of continuing
  • Implemented smart termination detection to distinguish preparation messages from completion signals
  • Added contextual awareness to prevent ending on "about to do" messages
  • Enhanced conversation flow to continue working when tasks are clearly incomplete

Exit Loop Tools Availability

  • FIXED: Missing task completion functionality - agent couldn't properly end conversations
  • Restored task_complete and ask_question tools to LLM's available tools list
  • Added explicit task completion instructions to system prompt
  • Ensured proper conversation ending mechanism through tool calls rather than content parsing

System Prompt Enhancement

  • Improved tool selection guidance with generic principles (no hardcoded tool names)
  • Enhanced "Tool Priority Guidelines" to favor direct action over workflow management
  • Added "TASK COMPLETION" section instructing use of 'task_complete' tool
  • Maintained compatibility with user-configured MCP servers

🚀 Key Improvements

Agent Decision Making

  • Implemented smarter tool selection principles favoring direct actions over complex workflows
  • Added guidance to avoid over-engineering simple tasks with elaborate planning
  • Enhanced focus on efficient execution over elaborate planning
  • Improved workflow to act decisively once information is gathered

Conversation Flow Control

  • Enhanced termination logic with preparation message detection ("I will now", "I am going to")
  • Improved completion signal recognition ("task complete", "successfully created")
  • Added fallback termination for very short messages after multiple turns
  • Maintained proper tool-based conversation ending as primary mechanism

📊 Technical Details

  • MCP Integration: Complete MCP result content preservation with proper multi-item handling
  • Agent Logic: Smart conversation state detection with contextual message analysis
  • Tool Management: Proper exit loop tools integration with LLM tool availability
  • System Prompt: Generic, user-agnostic tool selection guidance for maximum compatibility

🎉 Impact

Before: Agent missing tool data, stopping mid-task, unable to complete conversations properly
After: Agent sees complete tool results, continues working as intended, properly signals completion

This release significantly improves agent intelligence and task completion reliability, making Bibble more robust and user-friendly for complex workflows!

Installation

npm install -g @pinkpixel/[email protected]

What's Next?

With these critical fixes in place, Bibble now provides a much more reliable agent experience. The agent will:

  • ✅ See complete tool output data
  • ✅ Continue working when tasks are in progress
  • ✅ Properly signal completion when finished
  • ✅ Make better tool selection decisions

Full Changelog: https://github.com/pinkpixel-dev/bibble/blob/main/CHANGELOG.md

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