• Actions Taken:

    • Identified issue where raw LLM streaming chunks were being sent to users during task processing, creating verbose and repetitive output
    • Modified runSWEAgentWithStreaming() in src/morpheum-bot/bot.ts to provide structured progress messages instead of raw LLM chunks
    • Changed “Thinking…” message to “Analyzing and planning…” for better clarity
    • Added “Analysis complete. Processing response…” message after LLM finishes processing
    • COMPLETED: Implemented markdown spoiler sections with HTML <details> and <summary> tags for command output
    • COMPLETED: Increased output limit from 2000 to 64k characters while keeping chat clean with collapsible sections
    • COMPLETED: Added early task termination detection for “Job’s done!” phrase to exit iteration loop early
    • COMPLETED: Created sendMarkdownMessage() helper function for proper HTML formatting using existing formatMarkdown infrastructure
    • COMPLETED: Removed MAX_ITERATIONS display from progress messages - now shows “Iteration X:” instead of “Iteration X/10”
    • COMPLETED: Added plan and next step display to show bot’s thinking process to users
      • Created parsePlanAndNextStep() function to extract <plan> and <next_step> blocks from LLM responses
      • Plan displayed with 📋 icon on first iteration showing the bot’s strategy
      • Next step displayed with 🎯 icon for each iteration showing what the bot will do next
      • Properly formatted using markdown with sendMarkdownMessage() for HTML rendering
      • Added comprehensive test coverage with 6 new test cases
    • Updated test expectations in src/morpheum-bot/bot.test.ts to match new message format without MAX_ITERATIONS
    • Verified all 56 tests continue to pass (up from 50 tests)

  • Friction/Success Points:

    • Success: Users now receive clear, structured updates showing exactly what the bot is doing at each step
    • Success: Eliminated verbose LLM thinking output while maintaining all functionality
    • Success: Each message provides new, meaningful information without repetition
    • Success: Command output now uses collapsible spoiler sections with 64k limit, allowing users to view full output without cluttering chat
    • Success: Early termination when “Job’s done!” is detected provides faster task completion
    • Success: Proper HTML markdown formatting ensures messages display correctly in Matrix clients
    • Success: Cleaner progress messages without MAX_ITERATIONS display improve user experience
    • Success: Users can now see the bot’s planning process through plan and next step displays, making the workflow transparent
    • Friction: Had to update test expectations to match new message format, but this was straightforward

  • Technical Learnings:

    • User Experience: Structured progress messages (🧠 → 💭 → 📋 → 🎯 → ⚡ → 📋 → ✅) provide better feedback than raw LLM streams
    • Message Flow: Users see: Working on task → Analyzing → Analysis complete → Command execution → Results → Task completed
    • Output Management: Truncating very long command outputs (>2000 chars) prevents chat flooding while preserving full data in conversation history
    • Direct Commands: Kept streaming behavior for !openai and !ollama commands since users expect to see raw LLM output for debugging