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Merge pull request #287 from 123456wda/fix/s06-compact-focus-param

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fix(s06): wire compact tool's focus parameter into auto_compact
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gui-yue
2026-05-22 22:31:20 +08:00
committed by GitHub
parent 1baf1aca5a c171f8a545
commit 06ac34ed4d
1 changed files with 9 additions and 3 deletions
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12
agents/s06_context_compact.py
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@@ -100,7 +100,7 @@ def micro_compact(messages: list) -> list:
# -- Layer 2: auto_compact - save transcript, summarize, replace messages -- # -- 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 # Save full transcript to disk
TRANSCRIPT_DIR.mkdir(exist_ok=True) TRANSCRIPT_DIR.mkdir(exist_ok=True)
transcript_path = TRANSCRIPT_DIR / f"transcript_{int(time.time())}.jsonl" transcript_path = TRANSCRIPT_DIR / f"transcript_{int(time.time())}.jsonl"
@@ -110,12 +110,16 @@ def auto_compact(messages: list) -> list:
print(f"[transcript saved: {transcript_path}]") print(f"[transcript saved: {transcript_path}]")
# Ask LLM to summarize # Ask LLM to summarize
conversation_text = json.dumps(messages, default=str)[-80000:] conversation_text = json.dumps(messages, default=str)[-80000:]
focus_instruction = ""
if focus:
focus_instruction = f" Pay special attention to preserving details about: {focus}."
response = client.messages.create( response = client.messages.create(
model=MODEL, model=MODEL,
messages=[{"role": "user", "content": messages=[{"role": "user", "content":
"Summarize this conversation for continuity. Include: " "Summarize this conversation for continuity. Include: "
"1) What was accomplished, 2) Current state, 3) Key decisions made. " "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, max_tokens=2000,
) )
summary = next((block.text for block in response.content if hasattr(block, "text")), "") summary = next((block.text for block in response.content if hasattr(block, "text")), "")
@@ -215,10 +219,12 @@ def agent_loop(messages: list):
return return
results = [] results = []
manual_compact = False manual_compact = False
compact_focus = ""
for block in response.content: for block in response.content:
if block.type == "tool_use": if block.type == "tool_use":
if block.name == "compact": if block.name == "compact":
manual_compact = True manual_compact = True
compact_focus = block.input.get("focus", "")
output = "Compressing..." output = "Compressing..."
else: else:
handler = TOOL_HANDLERS.get(block.name) handler = TOOL_HANDLERS.get(block.name)
@@ -233,7 +239,7 @@ def agent_loop(messages: list):
# Layer 3: manual compact triggered by the compact tool # Layer 3: manual compact triggered by the compact tool
if manual_compact: if manual_compact:
print("[manual compact]") print("[manual compact]")
messages[:] = auto_compact(messages) messages[:] = auto_compact(messages, focus=compact_focus)
return return