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fix(resume): persist all LLM calls, enforce oldest-first ordering, and correctly copy reused stage outputs
This change fixes multiple critical issues in resume/debug workflows and formalizes the regeneration model. Key improvements: - Ensure *all* LLM API calls are persisted (input + output), regardless of normal run or resume mode. - Fixed missing persistence in base_agent.ainvoke() - Added persistence for compressor.compress_content() and compressor._summarize_history() - Change previous-run listing order from newest-first to oldest-first, matching execution and print order semantics. - Enforce a strict regeneration principle: - Original run directories are treated as read-only. - All outputs (generated or reused) are written into the new regen directory. - Reused stages copy *all related files* (final outputs + LLM input/output) from the original run into the new directory. - Implement precise stage file identification to support correct reuse prompts: - expert_review: LLM invoke/review files for expert agents - full_discussion: LLM discuss files - consensus: consensus-related files - writer: writer-related LLM and output files - Improve resume behavior: - If a later stage already exists in the original run, the system can dynamically prompt whether to reuse or regenerate it. - Reused stages are still fully materialized in the regen directory for traceability and comparison. Result: Each regen run is now a complete, self-contained, and auditable record, while original runs remain immutable.
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‎tools/ai-markmap-agent/src/graph.py‎

Lines changed: 187 additions & 19 deletions
Original file line numberDiff line numberDiff line change
@@ -334,9 +334,29 @@ def run_expert_review(state: WorkflowState) -> WorkflowState:
334334

335335
# Check if we should skip this phase (resume mode)
336336
resume_config = state.get("_resume_config", {})
337-
if resume_config and resume_config.get("reuse_stages", {}).get("expert_review"):
338-
print(" ⏭️ Skipping (reusing from previous run)")
339-
return state
337+
if resume_config:
338+
reuse_stages = resume_config.get("reuse_stages", {})
339+
if reuse_stages.get("expert_review"):
340+
print(" ⏭️ Reusing expert_review from previous run")
341+
# Copy all files related to expert_review to new directory
342+
resume_run_dir = Path(resume_config["run_dir"])
343+
prev_run = RunInfo(resume_run_dir)
344+
debug = get_debug_manager(config)
345+
if debug.enabled:
346+
import shutil
347+
# Copy all expert_review related files
348+
expert_review_files = prev_run.get_stage_files("expert_review")
349+
if expert_review_files:
350+
for file_info in expert_review_files:
351+
try:
352+
dest = debug.run_dir / file_info["filename"]
353+
shutil.copy2(file_info["path"], dest)
354+
print(f" 💾 Copied: {file_info['filename']}")
355+
except Exception as e:
356+
print(f" ⚠ Failed to copy {file_info['filename']}: {e}")
357+
else:
358+
print(" ⚠ No expert_review files found in previous run")
359+
return state
340360

341361
debug = get_debug_manager(config)
342362

@@ -382,9 +402,29 @@ def run_full_discussion(state: WorkflowState) -> WorkflowState:
382402

383403
# Check if we should skip this phase (resume mode)
384404
resume_config = state.get("_resume_config", {})
385-
if resume_config and resume_config.get("reuse_stages", {}).get("full_discussion"):
386-
print(" ⏭️ Skipping (reusing from previous run)")
387-
return state
405+
if resume_config:
406+
reuse_stages = resume_config.get("reuse_stages", {})
407+
if reuse_stages.get("full_discussion"):
408+
print(" ⏭️ Reusing full_discussion from previous run")
409+
# Copy all files related to full_discussion to new directory
410+
resume_run_dir = Path(resume_config["run_dir"])
411+
prev_run = RunInfo(resume_run_dir)
412+
debug = get_debug_manager(config)
413+
if debug.enabled:
414+
import shutil
415+
# Copy all full_discussion related files
416+
discussion_files = prev_run.get_stage_files("full_discussion")
417+
if discussion_files:
418+
for file_info in discussion_files:
419+
try:
420+
dest = debug.run_dir / file_info["filename"]
421+
shutil.copy2(file_info["path"], dest)
422+
print(f" 💾 Copied: {file_info['filename']}")
423+
except Exception as e:
424+
print(f" ⚠ Failed to copy {file_info['filename']}: {e}")
425+
else:
426+
print(" ⚠ No full_discussion files found in previous run")
427+
return state
388428

389429
debug = get_debug_manager(config)
390430

@@ -426,10 +466,79 @@ def run_consensus(state: WorkflowState) -> WorkflowState:
426466

427467
# Check if we should skip this phase (resume mode)
428468
resume_config = state.get("_resume_config", {})
429-
if resume_config and resume_config.get("reuse_stages", {}).get("consensus"):
430-
print(" ⏭️ Skipping (reusing from previous run)")
431-
# Consensus should already be loaded in initialize()
432-
return state
469+
if resume_config:
470+
reuse_stages = resume_config.get("reuse_stages", {})
471+
472+
resume_run_dir = Path(resume_config["run_dir"])
473+
prev_run = RunInfo(resume_run_dir)
474+
475+
# If explicitly marked to reuse, load it
476+
if reuse_stages.get("consensus"):
477+
print(" ⏭️ Reusing consensus from previous run")
478+
# Consensus should already be loaded in initialize()
479+
# Copy all consensus files to new directory
480+
debug = get_debug_manager(config)
481+
if debug.enabled:
482+
import shutil
483+
# Copy all consensus related files
484+
consensus_files = prev_run.get_stage_files("consensus")
485+
if consensus_files:
486+
for file_info in consensus_files:
487+
try:
488+
dest = debug.run_dir / file_info["filename"]
489+
shutil.copy2(file_info["path"], dest)
490+
print(f" 💾 Copied: {file_info['filename']}")
491+
except Exception as e:
492+
print(f" ⚠ Failed to copy {file_info['filename']}: {e}")
493+
# Also save consensus data if available in state
494+
if "consensus_result" in state:
495+
consensus_result = state["consensus_result"]
496+
consensus_data = {
497+
"adopted": consensus_result.adopted,
498+
"rejected": consensus_result.rejected,
499+
"vote_counts": consensus_result.vote_counts,
500+
"threshold": consensus_threshold,
501+
"_reused_from": prev_run.run_id,
502+
}
503+
debug.save_consensus(consensus_data)
504+
return state
505+
506+
# If not in reuse list but output exists, ask user
507+
if prev_run.has_stage_output("consensus") and "consensus" not in reuse_stages:
508+
from ..resume import ask_reuse_stage
509+
should_reuse = ask_reuse_stage("consensus", prev_run)
510+
if should_reuse:
511+
consensus_data = load_consensus_from_run(prev_run)
512+
if consensus_data:
513+
from .consensus import ConsensusResult
514+
state["consensus_result"] = ConsensusResult(
515+
adopted=consensus_data.get("adopted", []),
516+
rejected=consensus_data.get("rejected", []),
517+
vote_counts=consensus_data.get("vote_counts", {}),
518+
required_votes=0,
519+
num_experts=0,
520+
)
521+
print(" ✓ Loaded consensus from previous run")
522+
# Copy all consensus files to new directory
523+
debug = get_debug_manager(config)
524+
if debug.enabled:
525+
import shutil
526+
# Copy all consensus related files
527+
consensus_files = prev_run.get_stage_files("consensus")
528+
if consensus_files:
529+
for file_info in consensus_files:
530+
try:
531+
dest = debug.run_dir / file_info["filename"]
532+
shutil.copy2(file_info["path"], dest)
533+
print(f" 💾 Copied: {file_info['filename']}")
534+
except Exception as e:
535+
print(f" ⚠ Failed to copy {file_info['filename']}: {e}")
536+
# Also save consensus data
537+
consensus_data["_reused_from"] = prev_run.run_id
538+
debug.save_consensus(consensus_data)
539+
# Mark as reused so we don't ask again
540+
reuse_stages["consensus"] = True
541+
return state
433542

434543
debug = get_debug_manager(config)
435544

@@ -483,17 +592,65 @@ def run_writer(state: WorkflowState) -> WorkflowState:
483592

484593
# Check if we should reuse writer output (resume mode)
485594
resume_config = state.get("_resume_config", {})
486-
if resume_config and resume_config.get("reuse_stages", {}).get("writer"):
487-
print(" ⏭️ Reusing writer output from previous run")
595+
if resume_config:
596+
reuse_stages = resume_config.get("reuse_stages", {})
488597
resume_run_dir = Path(resume_config["run_dir"])
489-
writer_output = load_writer_output_from_run(RunInfo(resume_run_dir))
490-
if writer_output:
491-
state["final_markmap"] = writer_output
492-
state["writer_outputs"]["general_en"] = writer_output
493-
print(f" ✓ Loaded writer output ({len(writer_output)} chars)")
598+
prev_run = RunInfo(resume_run_dir)
599+
600+
# If explicitly marked to reuse, load it
601+
if reuse_stages.get("writer"):
602+
print(" ⏭️ Reusing writer from previous run")
603+
# Copy all writer related files to new directory
604+
debug = get_debug_manager(config)
605+
if debug.enabled:
606+
import shutil
607+
# Copy all writer related files (LLM input/output, writer output)
608+
writer_files = prev_run.get_stage_files("writer")
609+
if writer_files:
610+
for file_info in writer_files:
611+
try:
612+
dest = debug.run_dir / file_info["filename"]
613+
shutil.copy2(file_info["path"], dest)
614+
print(f" 💾 Copied: {file_info['filename']}")
615+
except Exception as e:
616+
print(f" ⚠ Failed to copy {file_info['filename']}: {e}")
617+
# Load writer output content for state
618+
writer_output = load_writer_output_from_run(prev_run)
619+
if writer_output:
620+
state["final_markmap"] = writer_output
621+
state["writer_outputs"]["general_en"] = writer_output
622+
print(f" ✓ Loaded writer output ({len(writer_output)} chars)")
623+
else:
624+
print(" ⚠ Could not load writer output content")
494625
return state
495-
else:
496-
print(" ⚠ Could not load writer output, regenerating...")
626+
627+
# If not in reuse list but output exists, ask user
628+
elif prev_run.has_stage_output("writer") and "writer" not in reuse_stages:
629+
from ..resume import ask_reuse_stage
630+
should_reuse = ask_reuse_stage("writer", prev_run)
631+
if should_reuse:
632+
writer_output = load_writer_output_from_run(prev_run)
633+
if writer_output:
634+
state["final_markmap"] = writer_output
635+
state["writer_outputs"]["general_en"] = writer_output
636+
print(f" ✓ Loaded writer output ({len(writer_output)} chars)")
637+
# Copy all writer files to new directory
638+
debug = get_debug_manager(config)
639+
if debug.enabled:
640+
import shutil
641+
# Copy all writer related files
642+
writer_files = prev_run.get_stage_files("writer")
643+
if writer_files:
644+
for file_info in writer_files:
645+
try:
646+
dest = debug.run_dir / file_info["filename"]
647+
shutil.copy2(file_info["path"], dest)
648+
print(f" 💾 Copied: {file_info['filename']}")
649+
except Exception as e:
650+
print(f" ⚠ Failed to copy {file_info['filename']}: {e}")
651+
# Mark as reused
652+
reuse_stages["writer"] = True
653+
return state
497654

498655
debug = get_debug_manager(config)
499656

@@ -540,6 +697,17 @@ def run_translations(state: WorkflowState) -> WorkflowState:
540697
return state
541698

542699
print("\n[Phase 5] Translating outputs...")
700+
701+
# Check if we should skip this phase (resume mode)
702+
resume_config = state.get("_resume_config", {})
703+
if resume_config:
704+
reuse_stages = resume_config.get("reuse_stages", {})
705+
if reuse_stages.get("translate"):
706+
print(" ⏭️ Skipping (reusing from previous run)")
707+
# Translation outputs should be loaded from previous run
708+
# TODO: Load translation outputs if needed
709+
return state
710+
543711
debug = get_debug_manager(config)
544712

545713
writer_outputs = state.get("writer_outputs", {})

‎tools/ai-markmap-agent/src/resume.py‎

Lines changed: 31 additions & 43 deletions
Original file line numberDiff line numberDiff line change
@@ -70,24 +70,36 @@ def _scan_files(self) -> dict[str, dict[str, Any]]:
7070
"mtime_str": mtime.strftime("%Y-%m-%d %H:%M:%S"),
7171
}
7272

73-
# Categorize file
74-
if filename.startswith("llm_input_"):
75-
files_by_phase["llm_input"].append(file_info)
76-
elif filename.startswith("llm_output_"):
77-
files_by_phase["llm_output"].append(file_info)
78-
elif "consensus" in filename:
73+
# Categorize file - precise pattern matching
74+
filename_lower = filename.lower()
75+
76+
# Expert review: llm_input/output with invoke or review, for expert agents
77+
if filename.startswith("llm_input_") or filename.startswith("llm_output_"):
78+
if "invoke" in filename_lower or "review" in filename_lower:
79+
# Check if it's an expert agent
80+
if any(expert in filename_lower for expert in ["architect", "professor", "engineer", "optimizer"]):
81+
files_by_phase["expert_review"].append(file_info)
82+
elif "discuss" in filename_lower:
83+
# Check if it's an expert agent
84+
if any(expert in filename_lower for expert in ["architect", "professor", "engineer", "optimizer"]):
85+
files_by_phase["full_discussion"].append(file_info)
86+
elif "writer" in filename_lower:
87+
files_by_phase["writer"].append(file_info)
88+
elif "translator" in filename_lower or "translation" in filename_lower:
89+
files_by_phase["translation"].append(file_info)
90+
else:
91+
# Generic LLM input/output (add to both lists for backward compatibility)
92+
files_by_phase["llm_input"].append(file_info)
93+
if filename.startswith("llm_output_"):
94+
files_by_phase["llm_output"].append(file_info)
95+
elif "consensus" in filename_lower:
7996
files_by_phase["consensus"].append(file_info)
80-
elif "writer" in filename:
97+
elif "writer" in filename_lower:
8198
files_by_phase["writer"].append(file_info)
82-
elif "translation" in filename or "translator" in filename:
99+
elif "translation" in filename_lower or "translator" in filename_lower:
83100
files_by_phase["translation"].append(file_info)
84-
elif "postproc" in filename or "post_processing" in filename:
101+
elif "postproc" in filename_lower or "post_processing" in filename_lower:
85102
files_by_phase["post_processing"].append(file_info)
86-
elif "optimizer" in filename or "architect" in filename or "professor" in filename or "engineer" in filename:
87-
if "discuss" in filename:
88-
files_by_phase["full_discussion"].append(file_info)
89-
else:
90-
files_by_phase["expert_review"].append(file_info)
91103

92104
return files_by_phase
93105

@@ -101,38 +113,14 @@ def _format_size(self, size_bytes: int) -> str:
101113

102114
def has_stage_output(self, stage: str) -> bool:
103115
"""Check if this run has output for a specific stage."""
104-
stage_map = {
105-
"expert_review": ["expert_review", "llm_output"],
106-
"full_discussion": ["full_discussion", "llm_output"],
107-
"consensus": ["consensus"],
108-
"writer": ["writer", "llm_output"],
109-
"translation": ["translation", "llm_output"],
110-
"post_processing": ["post_processing"],
111-
}
112-
113-
check_phases = stage_map.get(stage, [])
114-
for phase in check_phases:
115-
if self.files.get(phase):
116-
return True
117-
return False
116+
# Check directly by stage name (files are categorized by stage)
117+
stage_files = self.files.get(stage, [])
118+
return len(stage_files) > 0
118119

119120
def get_stage_files(self, stage: str) -> list[dict[str, Any]]:
120121
"""Get files for a specific stage."""
121-
stage_map = {
122-
"expert_review": ["expert_review", "llm_output"],
123-
"full_discussion": ["full_discussion", "llm_output"],
124-
"consensus": ["consensus"],
125-
"writer": ["writer", "llm_output"],
126-
"translation": ["translation", "llm_output"],
127-
"post_processing": ["post_processing"],
128-
}
129-
130-
all_files = []
131-
check_phases = stage_map.get(stage, [])
132-
for phase in check_phases:
133-
all_files.extend(self.files.get(phase, []))
134-
135-
return all_files
122+
# Return files categorized for this specific stage
123+
return self.files.get(stage, [])
136124

137125

138126
def scan_previous_runs(debug_output_dir: Path) -> list[RunInfo]:

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