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fix(tasks): keep scheduled-task prompt cache stable

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Move scheduled-task current-time context out of the system prompt and into a user-role context message so the system prompt remains stable for prompt caching. Preserve time grounding on both the agent-loop path and fallback direct-call path, with focused regression coverage.
This commit is contained in:
hestiaOS
2026-06-28 01:05:02 +02:00
committed by GitHub
parent 259662e914
commit 8b110c28e6
4 changed files with 224 additions and 20 deletions
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src/task_scheduler.py
+23 -19
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@@ -1450,19 +1450,18 @@ class TaskScheduler:
system_prompt = f"{char_prompt}\n\n{system_prompt}"
except Exception:
pass
# Inject current time so the model knows what's past vs upcoming
# Provide current date/time as a user-role message so the system prompt
# stays byte-identical across runs and doesn't bust the Anthropic prompt
# cache on every scheduled tick (see issue #2927 and the identical fix on
# the interactive-chat path in src/agent_loop.py). The message is built
# once here and shared by both execution paths below (agent loop and the
# direct fallback) so time grounding is never lost on either path.
tz_name = _resolve_task_timezone(db, task)
try:
if tz_name:
from zoneinfo import ZoneInfo
from datetime import timezone
now_local = _utcnow().replace(tzinfo=timezone.utc).astimezone(ZoneInfo(tz_name))
time_str = now_local.strftime("%A, %B %d %Y, %H:%M %Z")
else:
time_str = _utcnow().strftime("%A, %B %d %Y, %H:%M UTC")
from src.user_time import current_datetime_context_message_for_tz
_dt_msg: dict | None = current_datetime_context_message_for_tz(tz_name)
except Exception:
time_str = _utcnow().strftime("%A, %B %d %Y, %H:%M UTC")
system_prompt = f"Current time: {time_str}\n\n{system_prompt}"
_dt_msg = None
# Compute the disabled-tools set: the crew's enabled_tools allowlist
# (inverted) plus the operator's global disabled_tools setting. The
@@ -1510,14 +1509,15 @@ class TaskScheduler:
endpoint_url, model, task, session_id,
system_prompt=system_prompt, disabled_tools=disabled_tools or None,
relevant_tools=relevant_tools,
datetime_context_msg=_dt_msg,
)
except Exception as e:
logger.warning(f"Agent loop failed for task '{task.name}', falling back to simple call: {e}")
from src.task_endpoint import task_llm_call_async
messages = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": task.prompt},
]
messages: list = [{"role": "system", "content": system_prompt}]
if _dt_msg:
messages.append(_dt_msg)
messages.append({"role": "user", "content": task.prompt})
result = await task_llm_call_async(
messages,
fallback_url=endpoint_url,
@@ -1715,16 +1715,20 @@ class TaskScheduler:
system_prompt: str | None = None,
disabled_tools: set | None = None,
relevant_tools: set | None = None,
override_user_message: str | None = None) -> str:
override_user_message: str | None = None,
datetime_context_msg: dict | None = None) -> str:
"""Run the full agent loop with tool access, collecting the final text."""
from src.agent_loop import stream_agent_loop
system_content = system_prompt or "You are a helpful assistant executing a scheduled task. Use available tools to complete the task thoroughly."
user_content = override_user_message or task.prompt
messages = [
{"role": "system", "content": system_content},
{"role": "user", "content": user_content},
]
# Build the message list. The datetime context message (user-role) is
# inserted immediately before the task prompt so the system prefix stays
# byte-identical and cacheable across runs (see issue #2927).
messages: list = [{"role": "system", "content": system_content}]
if datetime_context_msg:
messages.append(datetime_context_msg)
messages.append({"role": "user", "content": user_content})
# Resolve headers from the endpoint's API key
headers = {}