Improve agent tool call logging and switch to local sandbox

Add parameter summaries to debug logs for agent tool calls in both
session managers. Switch default config from Docker to local sandbox.

Author: yichao-liang

predicators/agent_sdk/local_sandbox.py

@@ -29,6 +29,16 @@
 from pathlib import Path
 from typing import Any, Dict, List, Optional
 
+_MAX_PARAM_LEN = 120
+
+
+def _truncate(value: Any, max_len: int = _MAX_PARAM_LEN) -> str:
+    """Return a short string repr of *value*, truncating if needed."""
+    s = repr(value)
+    if len(s) > max_len:
+        return s[:max_len] + "..."
+    return s
+
 from predicators.agent_sdk.docker_sandbox import (
     _SANDBOX_SETTINGS,
     _VALIDATE_SANDBOX_SCRIPT,
@@ -298,7 +308,13 @@ async def query(self, message: str) -> List[Dict[str, Any]]:
                                 "name": block.name,
                                 "input": block.input,
                             })
-                            logging.debug("Agent tool call: %s", block.name)
+                            params = block.input or {}
+                            param_summary = ", ".join(
+                                f"{k}={_truncate(v)}"
+                                for k, v in params.items())
+                            logging.debug(
+                                "Agent tool call: %s(%s)",
+                                block.name, param_summary)
                         else:
                             block_type = type(block).__name__
                             block_dict: Dict[str, Any] = {"type": block_type}

predicators/agent_sdk/session_manager.py

@@ -7,6 +7,16 @@
 
 from predicators.settings import CFG
 
+_MAX_PARAM_LEN = 120
+
+
+def _truncate(value: Any, max_len: int = _MAX_PARAM_LEN) -> str:
+    """Return a short string repr of *value*, truncating if needed."""
+    s = repr(value)
+    if len(s) > max_len:
+        return s[:max_len] + "..."
+    return s
+
 
 class AgentSessionManager:
     """Wraps ClaudeSDKClient for persistent sessions with custom MCP tools."""
@@ -135,7 +145,13 @@ async def query(self, message: str) -> List[Dict[str, Any]]:
                                 "input":
                                 block.input,
                             })
-                            logging.debug(f"Agent tool call: {block.name}")
+                            params = block.input or {}
+                            param_summary = ", ".join(
+                                f"{k}={_truncate(v)}"
+                                for k, v in params.items())
+                            logging.debug(
+                                "Agent tool call: %s(%s)",
+                                block.name, param_summary)
                     collected.append(entry)
                 elif isinstance(msg, UserMessage):
                     user_entry: Dict[str, Any] = {"type": "user", "content": []}

scripts/configs/predicatorv3/predicator_v3.yaml

@@ -33,8 +33,8 @@ APPROACHES:
       demonstrator: "oracle_process_planning"
       terminate_on_goal_reached_and_option_terminated: True
       agent_planner_isolate_test_session: True
-      agent_sdk_use_docker_sandbox: True
-      # agent_sdk_use_local_sandbox: True
+      # agent_sdk_use_docker_sandbox: True
+      agent_sdk_use_local_sandbox: True
       agent_sdk_max_agent_turns_per_iteration: 40
   # mb_agent:
   #   NAME: "agent_abstraction_learning"