fix: surface configured sandbox mounts to agents (#1638)

* fix: surface configured sandbox mounts to agents

* fix: address PR review feedback

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
This commit is contained in:
Admire
2026-03-31 22:22:30 +08:00
committed by GitHub
parent 3ff15423d6
commit aae59a8ba8
8 changed files with 93 additions and 2 deletions
@@ -477,6 +477,28 @@ def _build_acp_section() -> str:
)
def _build_custom_mounts_section() -> str:
"""Build a prompt section for explicitly configured sandbox mounts."""
try:
from deerflow.config import get_app_config
mounts = get_app_config().sandbox.mounts or []
except Exception:
logger.exception("Failed to load configured sandbox mounts for the lead-agent prompt")
return ""
if not mounts:
return ""
lines = []
for mount in mounts:
access = "read-only" if mount.read_only else "read-write"
lines.append(f"- Custom mount: `{mount.container_path}` - Host directory mapped into the sandbox ({access})")
mounts_list = "\n".join(lines)
return f"\n**Custom Mounted Directories:**\n{mounts_list}\n- If the user needs files outside `/mnt/user-data`, use these absolute container paths directly when they match the requested directory"
def apply_prompt_template(subagent_enabled: bool = False, max_concurrent_subagents: int = 3, *, agent_name: str | None = None, available_skills: set[str] | None = None) -> str:
# Get memory context
memory_context = _get_memory_context(agent_name)
@@ -511,6 +533,8 @@ def apply_prompt_template(subagent_enabled: bool = False, max_concurrent_subagen
# Build ACP agent section only if ACP agents are configured
acp_section = _build_acp_section()
custom_mounts_section = _build_custom_mounts_section()
acp_and_mounts_section = "\n".join(section for section in (acp_section, custom_mounts_section) if section)
# Format the prompt with dynamic skills and memory
prompt = SYSTEM_PROMPT_TEMPLATE.format(
@@ -522,7 +546,7 @@ def apply_prompt_template(subagent_enabled: bool = False, max_concurrent_subagen
subagent_section=subagent_section,
subagent_reminder=subagent_reminder,
subagent_thinking=subagent_thinking,
acp_section=acp_section,
acp_section=acp_and_mounts_section,
)
return prompt + f"\n<current_date>{datetime.now().strftime('%Y-%m-%d, %A')}</current_date>"