Named after David Huffman, inventor of Huffman coding -
compression that preserves information with fewer bits.
Fits the agent's purpose: compact memory, preserve semantics.
The JSON tool call filter was outputting newlines immediately as they
were encountered. When the LLM output contained multiple newlines before
a tool call, each newline was output before the tool call JSON was
detected and suppressed, leaving orphaned blank lines in the output.
Changes:
- Add pending_newlines field to FilterState to buffer newlines at line start
- First newline after content is output immediately, subsequent ones buffered
- When tool call confirmed, pending_newlines cleared (suppressing extra blanks)
- When not a tool call, pending_newlines output with the buffer
- Add flush_json_tool_filter() to flush pending content at end of streaming
- Update tests to reflect new behavior
- Add tests for newline suppression behavior
final_output removal:
- Remove final_output from tool definitions and dispatch
- Update system prompts to request summaries as regular text
- Remove final_output_called field from StreamingState
- Update auto_continue tests to remove final_output_called parameter
- Remove final_output test from tool_execution_test.rs
- Update planner and flock prompts to not reference final_output
- Keep backwards-compat code in feedback_extraction.rs and task_result.rs
Scout report handback:
- Change from file-based to delimiter-based report extraction
- Scout outputs report between ---SCOUT_REPORT_START/END--- markers
- Research tool extracts content between markers, strips ANSI codes
- Add comprehensive tests for extraction and ANSI stripping
657 tests pass.
Simplified the main system prompt's web research section to just direct
users to the research tool. Moved the detailed WebDriver usage instructions
to scout.md where they belong, since the scout agent is the one that
actually uses WebDriver for research.
Main prompt now simply says: use the research tool for web research.
Scout agent now has the full WebDriver best practices documentation.
New tool that spawns a scout agent to perform web research and return
a structured research brief. The scout agent uses webdriver to browse
the web and returns a decision-ready report.
Changes:
- Added 'research' tool definition (12 core tools total)
- Added research tool dispatch in tool_dispatch.rs
- Created tools/research.rs implementation:
- Spawns 'g3 --agent scout <query>' as subprocess
- Captures stdout and extracts last line (report file path)
- Reads and returns the report file contents
- Added exclude_research flag to ToolConfig
- Scout agent (agent_name == 'scout') does NOT have access to research
tool to prevent infinite recursion
- Updated system prompts to describe when to use research tool
- Added scout.md agent prompt with research brief output contract
The research tool is preferred for complex research tasks (APIs, SDKs,
libraries, approaches, bugs). WebDriver can still be used directly for
simple lookups or fine-grained control.
The Euler agent must now update AGENTS.md after generating artifacts:
- Add/update 'Dependency Analysis Artifacts' section
- Table listing each file in analysis/deps/ with one-line descriptions
- No findings, metrics, or recommendations in AGENTS.md
- Fixed run_agent_mode to call std::env::set_current_dir with workspace_dir
- Updated fowler.md to read README.md and AGENTS.md as part of Triage & Understanding step
- Add final_output_called flag to track if LLM properly completed
- Auto-continue with prompt if tools executed but final_output missing
- Remove unused last_action_was_tool and any_text_response variables
- Simplifies previous complex incomplete response detection logic
