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fix(s06): pass compact tool's focus param to auto_compact summarization #180

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fix(s06): pass compact tool's focus param to auto_compact summarization #180

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14 changes: 9 additions & 5 deletions agents/s06_context_compact.py
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Original file line number Diff line number Diff line change
Expand Up @@ -100,7 +100,7 @@ def micro_compact(messages: list) -> list:


# -- Layer 2: auto_compact - save transcript, summarize, replace messages --
def auto_compact(messages: list) -> list:
def auto_compact(messages: list, focus: str = "") -> list:
# Save full transcript to disk
TRANSCRIPT_DIR.mkdir(exist_ok=True)
transcript_path = TRANSCRIPT_DIR / f"transcript_{int(time.time())}.jsonl"
Expand All @@ -110,12 +110,14 @@ def auto_compact(messages: list) -> list:
print(f"[transcript saved: {transcript_path}]")
# Ask LLM to summarize
conversation_text = json.dumps(messages, default=str)[-80000:]
focus_instruction = f"\nIMPORTANT: Pay special attention to preserving details about: {focus}" if focus else ""
response = client.messages.create(
model=MODEL,
messages=[{"role": "user", "content":
"Summarize this conversation for continuity. Include: "
"1) What was accomplished, 2) Current state, 3) Key decisions made. "
"Be concise but preserve critical details.\n\n" + conversation_text}],
"Be concise but preserve critical details."
f"{focus_instruction}\n\n" + conversation_text}],
max_tokens=2000,
)
summary = next((block.text for block in response.content if hasattr(block, "text")), "")
Expand Down Expand Up @@ -215,11 +217,13 @@ def agent_loop(messages: list):
return
results = []
manual_compact = False
compact_focus = ""
for block in response.content:
if block.type == "tool_use":
if block.name == "compact":
manual_compact = True
output = "Compressing..."
compact_focus = block.input.get("focus", "")
output = "Compressing..." + (f" (focus: {compact_focus})" if compact_focus else "")
else:
handler = TOOL_HANDLERS.get(block.name)
try:
Expand All @@ -232,8 +236,8 @@ def agent_loop(messages: list):
messages.append({"role": "user", "content": results})
# Layer 3: manual compact triggered by the compact tool
if manual_compact:
print("[manual compact]")
messages[:] = auto_compact(messages)
print(f"[manual compact{': ' + compact_focus if compact_focus else ''}]")
messages[:] = auto_compact(messages, focus=compact_focus)
return


Expand Down