Files
hermes-agent/tools/code_execution_tool.py
Teknium e120d2afac feat: notify_on_complete for background processes (#5779)
* feat: notify_on_complete for background processes

When terminal(background=true, notify_on_complete=true), the system
auto-triggers a new agent turn when the process exits — no polling needed.

Changes:
- ProcessSession: add notify_on_complete field
- ProcessRegistry: add completion_queue, populate on _move_to_finished()
- Terminal tool: add notify_on_complete parameter to schema + handler
- CLI: drain completion_queue after agent turn AND during idle loop
- Gateway: enhanced _run_process_watcher injects synthetic MessageEvent
  on completion, triggering a full agent turn
- Checkpoint persistence includes notify_on_complete for crash recovery
- code_execution_tool: block notify_on_complete in sandbox scripts
- 15 new tests covering queue mechanics, checkpoint round-trip, schema

* docs: update terminal tool descriptions for notify_on_complete

- background: remove 'ONLY for servers' language, describe both patterns
  (long-lived processes AND long-running tasks with notify_on_complete)
- notify_on_complete: more prescriptive about when to use it
- TERMINAL_TOOL_DESCRIPTION: remove 'Do NOT use background for builds'
  guidance that contradicted the new feature
2026-04-07 02:40:16 -07:00

1348 lines
51 KiB
Python

#!/usr/bin/env python3
"""
Code Execution Tool -- Programmatic Tool Calling (PTC)
Lets the LLM write a Python script that calls Hermes tools via RPC,
collapsing multi-step tool chains into a single inference turn.
Architecture (two transports):
**Local backend (UDS):**
1. Parent generates a `hermes_tools.py` stub module with UDS RPC functions
2. Parent opens a Unix domain socket and starts an RPC listener thread
3. Parent spawns a child process that runs the LLM's script
4. Tool calls travel over the UDS back to the parent for dispatch
**Remote backends (file-based RPC):**
1. Parent generates `hermes_tools.py` with file-based RPC stubs
2. Parent ships both files to the remote environment
3. Script runs inside the terminal backend (Docker/SSH/Modal/Daytona/etc.)
4. Tool calls are written as request files; a polling thread on the parent
reads them via execute_oneshot(), dispatches, and writes response files
5. The script polls for response files and continues
In both cases, only the script's stdout is returned to the LLM; intermediate
tool results never enter the context window.
Platform: Linux / macOS only (Unix domain sockets for local). Disabled on Windows.
Remote execution additionally requires Python 3 in the terminal backend.
"""
import base64
import json
import logging
import os
import platform
import signal
import socket
import subprocess
import sys
import tempfile
import threading
import time
import uuid
_IS_WINDOWS = platform.system() == "Windows"
from typing import Any, Dict, List, Optional
# Availability gate: UDS requires a POSIX OS
logger = logging.getLogger(__name__)
SANDBOX_AVAILABLE = sys.platform != "win32"
# The 7 tools allowed inside the sandbox. The intersection of this list
# and the session's enabled tools determines which stubs are generated.
SANDBOX_ALLOWED_TOOLS = frozenset([
"web_search",
"web_extract",
"read_file",
"write_file",
"search_files",
"patch",
"terminal",
])
# Resource limit defaults (overridable via config.yaml → code_execution.*)
DEFAULT_TIMEOUT = 300 # 5 minutes
DEFAULT_MAX_TOOL_CALLS = 50
MAX_STDOUT_BYTES = 50_000 # 50 KB
MAX_STDERR_BYTES = 10_000 # 10 KB
def check_sandbox_requirements() -> bool:
"""Code execution sandbox requires a POSIX OS for Unix domain sockets."""
return SANDBOX_AVAILABLE
# ---------------------------------------------------------------------------
# hermes_tools.py code generator
# ---------------------------------------------------------------------------
# Per-tool stub templates: (function_name, signature, docstring, args_dict_expr)
# The args_dict_expr builds the JSON payload sent over the RPC socket.
_TOOL_STUBS = {
"web_search": (
"web_search",
"query: str, limit: int = 5",
'"""Search the web. Returns dict with data.web list of {url, title, description}."""',
'{"query": query, "limit": limit}',
),
"web_extract": (
"web_extract",
"urls: list",
'"""Extract content from URLs. Returns dict with results list of {url, title, content, error}."""',
'{"urls": urls}',
),
"read_file": (
"read_file",
"path: str, offset: int = 1, limit: int = 500",
'"""Read a file (1-indexed lines). Returns dict with "content" and "total_lines"."""',
'{"path": path, "offset": offset, "limit": limit}',
),
"write_file": (
"write_file",
"path: str, content: str",
'"""Write content to a file (always overwrites). Returns dict with status."""',
'{"path": path, "content": content}',
),
"search_files": (
"search_files",
'pattern: str, target: str = "content", path: str = ".", file_glob: str = None, limit: int = 50, offset: int = 0, output_mode: str = "content", context: int = 0',
'"""Search file contents (target="content") or find files by name (target="files"). Returns dict with "matches"."""',
'{"pattern": pattern, "target": target, "path": path, "file_glob": file_glob, "limit": limit, "offset": offset, "output_mode": output_mode, "context": context}',
),
"patch": (
"patch",
'path: str = None, old_string: str = None, new_string: str = None, replace_all: bool = False, mode: str = "replace", patch: str = None',
'"""Targeted find-and-replace (mode="replace") or V4A multi-file patches (mode="patch"). Returns dict with status."""',
'{"path": path, "old_string": old_string, "new_string": new_string, "replace_all": replace_all, "mode": mode, "patch": patch}',
),
"terminal": (
"terminal",
"command: str, timeout: int = None, workdir: str = None",
'"""Run a shell command (foreground only). Returns dict with "output" and "exit_code"."""',
'{"command": command, "timeout": timeout, "workdir": workdir}',
),
}
def generate_hermes_tools_module(enabled_tools: List[str],
transport: str = "uds") -> str:
"""
Build the source code for the hermes_tools.py stub module.
Only tools in both SANDBOX_ALLOWED_TOOLS and enabled_tools get stubs.
Args:
enabled_tools: Tool names enabled in the current session.
transport: ``"uds"`` for Unix domain socket (local backend) or
``"file"`` for file-based RPC (remote backends).
"""
tools_to_generate = sorted(SANDBOX_ALLOWED_TOOLS & set(enabled_tools))
stub_functions = []
export_names = []
for tool_name in tools_to_generate:
if tool_name not in _TOOL_STUBS:
continue
func_name, sig, doc, args_expr = _TOOL_STUBS[tool_name]
stub_functions.append(
f"def {func_name}({sig}):\n"
f" {doc}\n"
f" return _call({func_name!r}, {args_expr})\n"
)
export_names.append(func_name)
if transport == "file":
header = _FILE_TRANSPORT_HEADER
else:
header = _UDS_TRANSPORT_HEADER
return header + "\n".join(stub_functions)
# ---- Shared helpers section (embedded in both transport headers) ----------
_COMMON_HELPERS = '''\
# ---------------------------------------------------------------------------
# Convenience helpers (avoid common scripting pitfalls)
# ---------------------------------------------------------------------------
def json_parse(text: str):
"""Parse JSON tolerant of control characters (strict=False).
Use this instead of json.loads() when parsing output from terminal()
or web_extract() that may contain raw tabs/newlines in strings."""
return json.loads(text, strict=False)
def shell_quote(s: str) -> str:
"""Shell-escape a string for safe interpolation into commands.
Use this when inserting dynamic content into terminal() commands:
terminal(f"echo {shell_quote(user_input)}")
"""
return shlex.quote(s)
def retry(fn, max_attempts=3, delay=2):
"""Retry a function up to max_attempts times with exponential backoff.
Use for transient failures (network errors, API rate limits):
result = retry(lambda: terminal("gh issue list ..."))
"""
last_err = None
for attempt in range(max_attempts):
try:
return fn()
except Exception as e:
last_err = e
if attempt < max_attempts - 1:
time.sleep(delay * (2 ** attempt))
raise last_err
'''
# ---- UDS transport (local backend) ---------------------------------------
_UDS_TRANSPORT_HEADER = '''\
"""Auto-generated Hermes tools RPC stubs."""
import json, os, socket, shlex, time
_sock = None
''' + _COMMON_HELPERS + '''\
def _connect():
global _sock
if _sock is None:
_sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
_sock.connect(os.environ["HERMES_RPC_SOCKET"])
_sock.settimeout(300)
return _sock
def _call(tool_name, args):
"""Send a tool call to the parent process and return the parsed result."""
conn = _connect()
request = json.dumps({"tool": tool_name, "args": args}) + "\\n"
conn.sendall(request.encode())
buf = b""
while True:
chunk = conn.recv(65536)
if not chunk:
raise RuntimeError("Agent process disconnected")
buf += chunk
if buf.endswith(b"\\n"):
break
raw = buf.decode().strip()
result = json.loads(raw)
if isinstance(result, str):
try:
return json.loads(result)
except (json.JSONDecodeError, TypeError):
return result
return result
'''
# ---- File-based transport (remote backends) -------------------------------
_FILE_TRANSPORT_HEADER = '''\
"""Auto-generated Hermes tools RPC stubs (file-based transport)."""
import json, os, shlex, time
_RPC_DIR = os.environ.get("HERMES_RPC_DIR", "/tmp/hermes_rpc")
_seq = 0
''' + _COMMON_HELPERS + '''\
def _call(tool_name, args):
"""Send a tool call request via file-based RPC and wait for response."""
global _seq
_seq += 1
seq_str = f"{_seq:06d}"
req_file = os.path.join(_RPC_DIR, f"req_{seq_str}")
res_file = os.path.join(_RPC_DIR, f"res_{seq_str}")
# Write request atomically (write to .tmp, then rename)
tmp = req_file + ".tmp"
with open(tmp, "w") as f:
json.dump({"tool": tool_name, "args": args, "seq": _seq}, f)
os.rename(tmp, req_file)
# Wait for response with adaptive polling
deadline = time.monotonic() + 300 # 5-minute timeout per tool call
poll_interval = 0.05 # Start at 50ms
while not os.path.exists(res_file):
if time.monotonic() > deadline:
raise RuntimeError(f"RPC timeout: no response for {tool_name} after 300s")
time.sleep(poll_interval)
poll_interval = min(poll_interval * 1.2, 0.25) # Back off to 250ms
with open(res_file) as f:
raw = f.read()
# Clean up response file
try:
os.unlink(res_file)
except OSError:
pass
result = json.loads(raw)
if isinstance(result, str):
try:
return json.loads(result)
except (json.JSONDecodeError, TypeError):
return result
return result
'''
# ---------------------------------------------------------------------------
# RPC server (runs in a thread inside the parent process)
# ---------------------------------------------------------------------------
# Terminal parameters that must not be used from ephemeral sandbox scripts
_TERMINAL_BLOCKED_PARAMS = {"background", "check_interval", "pty", "notify_on_complete"}
def _rpc_server_loop(
server_sock: socket.socket,
task_id: str,
tool_call_log: list,
tool_call_counter: list, # mutable [int] so the thread can increment
max_tool_calls: int,
allowed_tools: frozenset,
):
"""
Accept one client connection and dispatch tool-call requests until
the client disconnects or the call limit is reached.
"""
from model_tools import handle_function_call
conn = None
try:
server_sock.settimeout(5)
conn, _ = server_sock.accept()
conn.settimeout(300)
buf = b""
while True:
try:
chunk = conn.recv(65536)
except socket.timeout:
break
if not chunk:
break
buf += chunk
# Process all complete newline-delimited messages in the buffer
while b"\n" in buf:
line, buf = buf.split(b"\n", 1)
line = line.strip()
if not line:
continue
call_start = time.monotonic()
try:
request = json.loads(line.decode())
except (json.JSONDecodeError, UnicodeDecodeError) as exc:
resp = json.dumps({"error": f"Invalid RPC request: {exc}"})
conn.sendall((resp + "\n").encode())
continue
tool_name = request.get("tool", "")
tool_args = request.get("args", {})
# Enforce the allow-list
if tool_name not in allowed_tools:
available = ", ".join(sorted(allowed_tools))
resp = json.dumps({
"error": (
f"Tool '{tool_name}' is not available in execute_code. "
f"Available: {available}"
)
})
conn.sendall((resp + "\n").encode())
continue
# Enforce tool call limit
if tool_call_counter[0] >= max_tool_calls:
resp = json.dumps({
"error": (
f"Tool call limit reached ({max_tool_calls}). "
"No more tool calls allowed in this execution."
)
})
conn.sendall((resp + "\n").encode())
continue
# Strip forbidden terminal parameters
if tool_name == "terminal" and isinstance(tool_args, dict):
for param in _TERMINAL_BLOCKED_PARAMS:
tool_args.pop(param, None)
# Dispatch through the standard tool handler.
# Suppress stdout/stderr from internal tool handlers so
# their status prints don't leak into the CLI spinner.
try:
_real_stdout, _real_stderr = sys.stdout, sys.stderr
devnull = open(os.devnull, "w")
try:
sys.stdout = devnull
sys.stderr = devnull
result = handle_function_call(
tool_name, tool_args, task_id=task_id
)
finally:
sys.stdout, sys.stderr = _real_stdout, _real_stderr
devnull.close()
except Exception as exc:
logger.error("Tool call failed in sandbox: %s", exc, exc_info=True)
result = json.dumps({"error": str(exc)})
tool_call_counter[0] += 1
call_duration = time.monotonic() - call_start
# Log for observability
args_preview = str(tool_args)[:80]
tool_call_log.append({
"tool": tool_name,
"args_preview": args_preview,
"duration": round(call_duration, 2),
})
conn.sendall((result + "\n").encode())
except socket.timeout:
logger.debug("RPC listener socket timeout")
except OSError as e:
logger.debug("RPC listener socket error: %s", e, exc_info=True)
finally:
if conn:
try:
conn.close()
except OSError as e:
logger.debug("RPC conn close error: %s", e)
# ---------------------------------------------------------------------------
# Remote execution support (file-based RPC via terminal backend)
# ---------------------------------------------------------------------------
def _get_or_create_env(task_id: str):
"""Get or create the terminal environment for *task_id*.
Reuses the same environment (container/sandbox/SSH session) that the
terminal and file tools use, creating one if it doesn't exist yet.
Returns ``(env, env_type)`` tuple.
"""
from tools.terminal_tool import (
_active_environments, _env_lock, _create_environment,
_get_env_config, _last_activity, _start_cleanup_thread,
_creation_locks, _creation_locks_lock, _task_env_overrides,
)
effective_task_id = task_id or "default"
# Fast path: environment already exists
with _env_lock:
if effective_task_id in _active_environments:
_last_activity[effective_task_id] = time.time()
return _active_environments[effective_task_id], _get_env_config()["env_type"]
# Slow path: create environment (same pattern as file_tools._get_file_ops)
with _creation_locks_lock:
if effective_task_id not in _creation_locks:
_creation_locks[effective_task_id] = threading.Lock()
task_lock = _creation_locks[effective_task_id]
with task_lock:
with _env_lock:
if effective_task_id in _active_environments:
_last_activity[effective_task_id] = time.time()
return _active_environments[effective_task_id], _get_env_config()["env_type"]
config = _get_env_config()
env_type = config["env_type"]
overrides = _task_env_overrides.get(effective_task_id, {})
if env_type == "docker":
image = overrides.get("docker_image") or config["docker_image"]
elif env_type == "singularity":
image = overrides.get("singularity_image") or config["singularity_image"]
elif env_type == "modal":
image = overrides.get("modal_image") or config["modal_image"]
elif env_type == "daytona":
image = overrides.get("daytona_image") or config["daytona_image"]
else:
image = ""
cwd = overrides.get("cwd") or config["cwd"]
container_config = None
if env_type in ("docker", "singularity", "modal", "daytona"):
container_config = {
"container_cpu": config.get("container_cpu", 1),
"container_memory": config.get("container_memory", 5120),
"container_disk": config.get("container_disk", 51200),
"container_persistent": config.get("container_persistent", True),
"docker_volumes": config.get("docker_volumes", []),
}
ssh_config = None
if env_type == "ssh":
ssh_config = {
"host": config.get("ssh_host", ""),
"user": config.get("ssh_user", ""),
"port": config.get("ssh_port", 22),
"key": config.get("ssh_key", ""),
"persistent": config.get("ssh_persistent", False),
}
local_config = None
if env_type == "local":
local_config = {
"persistent": config.get("local_persistent", False),
}
logger.info("Creating new %s environment for execute_code task %s...",
env_type, effective_task_id[:8])
env = _create_environment(
env_type=env_type,
image=image,
cwd=cwd,
timeout=config["timeout"],
ssh_config=ssh_config,
container_config=container_config,
local_config=local_config,
task_id=effective_task_id,
host_cwd=config.get("host_cwd"),
)
with _env_lock:
_active_environments[effective_task_id] = env
_last_activity[effective_task_id] = time.time()
_start_cleanup_thread()
logger.info("%s environment ready for execute_code task %s",
env_type, effective_task_id[:8])
return env, env_type
def _ship_file_to_remote(env, remote_path: str, content: str) -> None:
"""Write *content* to *remote_path* on the remote environment.
Uses ``echo … | base64 -d`` rather than stdin piping because some
backends (Modal) don't reliably deliver stdin_data to chained
commands. Base64 output is shell-safe ([A-Za-z0-9+/=]) so single
quotes are fine.
"""
encoded = base64.b64encode(content.encode("utf-8")).decode("ascii")
env.execute_oneshot(
f"echo '{encoded}' | base64 -d > {remote_path}",
cwd="/",
timeout=30,
)
def _rpc_poll_loop(
env,
rpc_dir: str,
task_id: str,
tool_call_log: list,
tool_call_counter: list,
max_tool_calls: int,
allowed_tools: frozenset,
stop_event: threading.Event,
):
"""Poll the remote filesystem for tool call requests and dispatch them.
Runs in a background thread. Uses ``env.execute_oneshot()`` so it can
operate concurrently with the script-execution thread that holds
``env.execute()`` (important for persistent-shell backends like SSH).
"""
from model_tools import handle_function_call
poll_interval = 0.1 # 100 ms
while not stop_event.is_set():
try:
# List pending request files (skip .tmp partials)
ls_result = env.execute_oneshot(
f"ls -1 {rpc_dir}/req_* 2>/dev/null || true",
cwd="/",
timeout=10,
)
output = ls_result.get("output", "").strip()
if not output:
stop_event.wait(poll_interval)
continue
req_files = sorted([
f.strip() for f in output.split("\n")
if f.strip()
and not f.strip().endswith(".tmp")
and "/req_" in f.strip()
])
for req_file in req_files:
if stop_event.is_set():
break
call_start = time.monotonic()
# Read request
read_result = env.execute_oneshot(
f"cat {req_file}",
cwd="/",
timeout=10,
)
try:
request = json.loads(read_result.get("output", ""))
except (json.JSONDecodeError, ValueError):
logger.debug("Malformed RPC request in %s", req_file)
# Remove bad request to avoid infinite retry
env.execute_oneshot(f"rm -f {req_file}", cwd="/", timeout=5)
continue
tool_name = request.get("tool", "")
tool_args = request.get("args", {})
seq = request.get("seq", 0)
seq_str = f"{seq:06d}"
res_file = f"{rpc_dir}/res_{seq_str}"
# Enforce allow-list
if tool_name not in allowed_tools:
available = ", ".join(sorted(allowed_tools))
tool_result = json.dumps({
"error": (
f"Tool '{tool_name}' is not available in execute_code. "
f"Available: {available}"
)
})
# Enforce tool call limit
elif tool_call_counter[0] >= max_tool_calls:
tool_result = json.dumps({
"error": (
f"Tool call limit reached ({max_tool_calls}). "
"No more tool calls allowed in this execution."
)
})
else:
# Strip forbidden terminal parameters
if tool_name == "terminal" and isinstance(tool_args, dict):
for param in _TERMINAL_BLOCKED_PARAMS:
tool_args.pop(param, None)
# Dispatch through the standard tool handler
try:
_real_stdout, _real_stderr = sys.stdout, sys.stderr
devnull = open(os.devnull, "w")
try:
sys.stdout = devnull
sys.stderr = devnull
tool_result = handle_function_call(
tool_name, tool_args, task_id=task_id
)
finally:
sys.stdout, sys.stderr = _real_stdout, _real_stderr
devnull.close()
except Exception as exc:
logger.error("Tool call failed in remote sandbox: %s",
exc, exc_info=True)
tool_result = json.dumps({"error": str(exc)})
tool_call_counter[0] += 1
call_duration = time.monotonic() - call_start
tool_call_log.append({
"tool": tool_name,
"args_preview": str(tool_args)[:80],
"duration": round(call_duration, 2),
})
# Write response atomically (tmp + rename).
# Use echo piping (not stdin_data) because Modal doesn't
# reliably deliver stdin to chained commands.
encoded_result = base64.b64encode(
tool_result.encode("utf-8")
).decode("ascii")
env.execute_oneshot(
f"echo '{encoded_result}' | base64 -d > {res_file}.tmp"
f" && mv {res_file}.tmp {res_file}",
cwd="/",
timeout=60,
)
# Remove the request file
env.execute_oneshot(f"rm -f {req_file}", cwd="/", timeout=5)
except Exception as e:
if not stop_event.is_set():
logger.debug("RPC poll error: %s", e, exc_info=True)
if not stop_event.is_set():
stop_event.wait(poll_interval)
def _execute_remote(
code: str,
task_id: Optional[str],
enabled_tools: Optional[List[str]],
) -> str:
"""Run a script on the remote terminal backend via file-based RPC.
The script and the generated hermes_tools.py module are shipped to
the remote environment, and tool calls are proxied through a polling
thread that communicates via request/response files.
"""
from tools.terminal_tool import _interrupt_event
_cfg = _load_config()
timeout = _cfg.get("timeout", DEFAULT_TIMEOUT)
max_tool_calls = _cfg.get("max_tool_calls", DEFAULT_MAX_TOOL_CALLS)
session_tools = set(enabled_tools) if enabled_tools else set()
sandbox_tools = frozenset(SANDBOX_ALLOWED_TOOLS & session_tools)
if not sandbox_tools:
sandbox_tools = SANDBOX_ALLOWED_TOOLS
effective_task_id = task_id or "default"
env, env_type = _get_or_create_env(effective_task_id)
sandbox_id = uuid.uuid4().hex[:12]
sandbox_dir = f"/tmp/hermes_exec_{sandbox_id}"
tool_call_log: list = []
tool_call_counter = [0]
exec_start = time.monotonic()
stop_event = threading.Event()
rpc_thread = None
try:
# Verify Python is available on the remote
py_check = env.execute_oneshot(
"command -v python3 >/dev/null 2>&1 && echo OK",
cwd="/", timeout=15,
)
if "OK" not in py_check.get("output", ""):
return json.dumps({
"status": "error",
"error": (
f"Python 3 is not available in the {env_type} terminal "
"environment. Install Python to use execute_code with "
"remote backends."
),
"tool_calls_made": 0,
"duration_seconds": 0,
})
# Create sandbox directory on remote
env.execute_oneshot(
f"mkdir -p {sandbox_dir}/rpc", cwd="/", timeout=10,
)
# Generate and ship files
tools_src = generate_hermes_tools_module(
list(sandbox_tools), transport="file",
)
_ship_file_to_remote(env, f"{sandbox_dir}/hermes_tools.py", tools_src)
_ship_file_to_remote(env, f"{sandbox_dir}/script.py", code)
# Start RPC polling thread
rpc_thread = threading.Thread(
target=_rpc_poll_loop,
args=(
env, f"{sandbox_dir}/rpc", effective_task_id,
tool_call_log, tool_call_counter, max_tool_calls,
sandbox_tools, stop_event,
),
daemon=True,
)
rpc_thread.start()
# Build environment variable prefix for the script
env_prefix = (
f"HERMES_RPC_DIR={sandbox_dir}/rpc "
f"PYTHONDONTWRITEBYTECODE=1"
)
tz = os.getenv("HERMES_TIMEZONE", "").strip()
if tz:
env_prefix += f" TZ={tz}"
# Execute the script on the remote backend
logger.info("Executing code on %s backend (task %s)...",
env_type, effective_task_id[:8])
script_result = env.execute(
f"cd {sandbox_dir} && {env_prefix} python3 script.py",
timeout=timeout,
)
stdout_text = script_result.get("output", "")
exit_code = script_result.get("returncode", -1)
status = "success"
# Check for timeout/interrupt from the backend
if exit_code == 124:
status = "timeout"
elif exit_code == 130:
status = "interrupted"
except Exception as exc:
duration = round(time.monotonic() - exec_start, 2)
logger.error(
"execute_code remote failed after %ss with %d tool calls: %s: %s",
duration, tool_call_counter[0], type(exc).__name__, exc,
exc_info=True,
)
return json.dumps({
"status": "error",
"error": str(exc),
"tool_calls_made": tool_call_counter[0],
"duration_seconds": duration,
}, ensure_ascii=False)
finally:
# Stop the polling thread
stop_event.set()
if rpc_thread is not None:
rpc_thread.join(timeout=5)
# Clean up remote sandbox dir
try:
env.execute_oneshot(
f"rm -rf {sandbox_dir}", cwd="/", timeout=15,
)
except Exception:
logger.debug("Failed to clean up remote sandbox %s", sandbox_dir)
duration = round(time.monotonic() - exec_start, 2)
# --- Post-process output (same as local path) ---
# Truncate stdout to cap
if len(stdout_text) > MAX_STDOUT_BYTES:
head_bytes = int(MAX_STDOUT_BYTES * 0.4)
tail_bytes = MAX_STDOUT_BYTES - head_bytes
head = stdout_text[:head_bytes]
tail = stdout_text[-tail_bytes:]
omitted = len(stdout_text) - len(head) - len(tail)
stdout_text = (
head
+ f"\n\n... [OUTPUT TRUNCATED - {omitted:,} chars omitted "
f"out of {len(stdout_text):,} total] ...\n\n"
+ tail
)
# Strip ANSI escape sequences
from tools.ansi_strip import strip_ansi
stdout_text = strip_ansi(stdout_text)
# Redact secrets
from agent.redact import redact_sensitive_text
stdout_text = redact_sensitive_text(stdout_text)
# Build response
result: Dict[str, Any] = {
"status": status,
"output": stdout_text,
"tool_calls_made": tool_call_counter[0],
"duration_seconds": duration,
}
if status == "timeout":
result["error"] = f"Script timed out after {timeout}s and was killed."
elif status == "interrupted":
result["output"] = (
stdout_text + "\n[execution interrupted — user sent a new message]"
)
elif exit_code != 0:
result["status"] = "error"
result["error"] = f"Script exited with code {exit_code}"
return json.dumps(result, ensure_ascii=False)
# ---------------------------------------------------------------------------
# Main entry point
# ---------------------------------------------------------------------------
def execute_code(
code: str,
task_id: Optional[str] = None,
enabled_tools: Optional[List[str]] = None,
) -> str:
"""
Run a Python script in a sandboxed child process with RPC access
to a subset of Hermes tools.
Dispatches to the local (UDS) or remote (file-based RPC) path
depending on the configured terminal backend.
Args:
code: Python source code to execute.
task_id: Session task ID for tool isolation (terminal env, etc.).
enabled_tools: Tool names enabled in the current session. The sandbox
gets the intersection with SANDBOX_ALLOWED_TOOLS.
Returns:
JSON string with execution results.
"""
if not SANDBOX_AVAILABLE:
return json.dumps({
"error": "execute_code is not available on Windows. Use normal tool calls instead."
})
if not code or not code.strip():
return json.dumps({"error": "No code provided."})
# Dispatch: remote backends use file-based RPC, local uses UDS
from tools.terminal_tool import _get_env_config
env_type = _get_env_config()["env_type"]
if env_type != "local":
return _execute_remote(code, task_id, enabled_tools)
# --- Local execution path (UDS) --- below this line is unchanged ---
# Import interrupt event from terminal_tool (cooperative cancellation)
from tools.terminal_tool import _interrupt_event
# Resolve config
_cfg = _load_config()
timeout = _cfg.get("timeout", DEFAULT_TIMEOUT)
max_tool_calls = _cfg.get("max_tool_calls", DEFAULT_MAX_TOOL_CALLS)
# Determine which tools the sandbox can call
session_tools = set(enabled_tools) if enabled_tools else set()
sandbox_tools = frozenset(SANDBOX_ALLOWED_TOOLS & session_tools)
if not sandbox_tools:
sandbox_tools = SANDBOX_ALLOWED_TOOLS
# --- Set up temp directory with hermes_tools.py and script.py ---
tmpdir = tempfile.mkdtemp(prefix="hermes_sandbox_")
# Use /tmp on macOS to avoid the long /var/folders/... path that pushes
# Unix domain socket paths past the 104-byte macOS AF_UNIX limit.
# On Linux, tempfile.gettempdir() already returns /tmp.
_sock_tmpdir = "/tmp" if sys.platform == "darwin" else tempfile.gettempdir()
sock_path = os.path.join(_sock_tmpdir, f"hermes_rpc_{uuid.uuid4().hex}.sock")
tool_call_log: list = []
tool_call_counter = [0] # mutable so the RPC thread can increment
exec_start = time.monotonic()
server_sock = None
try:
# Write the auto-generated hermes_tools module
# sandbox_tools is already the correct set (intersection with session
# tools, or SANDBOX_ALLOWED_TOOLS as fallback — see lines above).
tools_src = generate_hermes_tools_module(list(sandbox_tools))
with open(os.path.join(tmpdir, "hermes_tools.py"), "w") as f:
f.write(tools_src)
# Write the user's script
with open(os.path.join(tmpdir, "script.py"), "w") as f:
f.write(code)
# --- Start UDS server ---
server_sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
server_sock.bind(sock_path)
server_sock.listen(1)
rpc_thread = threading.Thread(
target=_rpc_server_loop,
args=(
server_sock, task_id, tool_call_log,
tool_call_counter, max_tool_calls, sandbox_tools,
),
daemon=True,
)
rpc_thread.start()
# --- Spawn child process ---
# Build a minimal environment for the child. We intentionally exclude
# API keys and tokens to prevent credential exfiltration from LLM-
# generated scripts. The child accesses tools via RPC, not direct API.
# Exception: env vars declared by loaded skills (via env_passthrough
# registry) or explicitly allowed by the user in config.yaml
# (terminal.env_passthrough) are passed through.
_SAFE_ENV_PREFIXES = ("PATH", "HOME", "USER", "LANG", "LC_", "TERM",
"TMPDIR", "TMP", "TEMP", "SHELL", "LOGNAME",
"XDG_", "PYTHONPATH", "VIRTUAL_ENV", "CONDA")
_SECRET_SUBSTRINGS = ("KEY", "TOKEN", "SECRET", "PASSWORD", "CREDENTIAL",
"PASSWD", "AUTH")
try:
from tools.env_passthrough import is_env_passthrough as _is_passthrough
except Exception:
_is_passthrough = lambda _: False # noqa: E731
child_env = {}
for k, v in os.environ.items():
# Passthrough vars (skill-declared or user-configured) always pass.
if _is_passthrough(k):
child_env[k] = v
continue
# Block vars with secret-like names.
if any(s in k.upper() for s in _SECRET_SUBSTRINGS):
continue
# Allow vars with known safe prefixes.
if any(k.startswith(p) for p in _SAFE_ENV_PREFIXES):
child_env[k] = v
child_env["HERMES_RPC_SOCKET"] = sock_path
child_env["PYTHONDONTWRITEBYTECODE"] = "1"
# Ensure the hermes-agent root is importable in the sandbox so
# repo-root modules are available to child scripts.
_hermes_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
_existing_pp = child_env.get("PYTHONPATH", "")
child_env["PYTHONPATH"] = _hermes_root + (os.pathsep + _existing_pp if _existing_pp else "")
# Inject user's configured timezone so datetime.now() in sandboxed
# code reflects the correct wall-clock time.
_tz_name = os.getenv("HERMES_TIMEZONE", "").strip()
if _tz_name:
child_env["TZ"] = _tz_name
proc = subprocess.Popen(
[sys.executable, "script.py"],
cwd=tmpdir,
env=child_env,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
stdin=subprocess.DEVNULL,
preexec_fn=None if _IS_WINDOWS else os.setsid,
)
# --- Poll loop: watch for exit, timeout, and interrupt ---
deadline = time.monotonic() + timeout
stderr_chunks: list = []
# Background readers to avoid pipe buffer deadlocks.
# For stdout we use a head+tail strategy: keep the first HEAD_BYTES
# and a rolling window of the last TAIL_BYTES so the final print()
# output is never lost. Stderr keeps head-only (errors appear early).
_STDOUT_HEAD_BYTES = int(MAX_STDOUT_BYTES * 0.4) # 40% head
_STDOUT_TAIL_BYTES = MAX_STDOUT_BYTES - _STDOUT_HEAD_BYTES # 60% tail
def _drain(pipe, chunks, max_bytes):
"""Simple head-only drain (used for stderr)."""
total = 0
try:
while True:
data = pipe.read(4096)
if not data:
break
if total < max_bytes:
keep = max_bytes - total
chunks.append(data[:keep])
total += len(data)
except (ValueError, OSError) as e:
logger.debug("Error reading process output: %s", e, exc_info=True)
stdout_total_bytes = [0] # mutable ref for total bytes seen
def _drain_head_tail(pipe, head_chunks, tail_chunks, head_bytes, tail_bytes, total_ref):
"""Drain stdout keeping both head and tail data."""
head_collected = 0
from collections import deque
tail_buf = deque()
tail_collected = 0
try:
while True:
data = pipe.read(4096)
if not data:
break
total_ref[0] += len(data)
# Fill head buffer first
if head_collected < head_bytes:
keep = min(len(data), head_bytes - head_collected)
head_chunks.append(data[:keep])
head_collected += keep
data = data[keep:] # remaining goes to tail
if not data:
continue
# Everything past head goes into rolling tail buffer
tail_buf.append(data)
tail_collected += len(data)
# Evict old tail data to stay within tail_bytes budget
while tail_collected > tail_bytes and tail_buf:
oldest = tail_buf.popleft()
tail_collected -= len(oldest)
except (ValueError, OSError):
pass
# Transfer final tail to output list
tail_chunks.extend(tail_buf)
stdout_head_chunks: list = []
stdout_tail_chunks: list = []
stdout_reader = threading.Thread(
target=_drain_head_tail,
args=(proc.stdout, stdout_head_chunks, stdout_tail_chunks,
_STDOUT_HEAD_BYTES, _STDOUT_TAIL_BYTES, stdout_total_bytes),
daemon=True
)
stderr_reader = threading.Thread(
target=_drain, args=(proc.stderr, stderr_chunks, MAX_STDERR_BYTES), daemon=True
)
stdout_reader.start()
stderr_reader.start()
status = "success"
while proc.poll() is None:
if _interrupt_event.is_set():
_kill_process_group(proc)
status = "interrupted"
break
if time.monotonic() > deadline:
_kill_process_group(proc, escalate=True)
status = "timeout"
break
time.sleep(0.2)
# Wait for readers to finish draining
stdout_reader.join(timeout=3)
stderr_reader.join(timeout=3)
stdout_head = b"".join(stdout_head_chunks).decode("utf-8", errors="replace")
stdout_tail = b"".join(stdout_tail_chunks).decode("utf-8", errors="replace")
stderr_text = b"".join(stderr_chunks).decode("utf-8", errors="replace")
# Assemble stdout with head+tail truncation
total_stdout = stdout_total_bytes[0]
if total_stdout > MAX_STDOUT_BYTES and stdout_tail:
omitted = total_stdout - len(stdout_head) - len(stdout_tail)
truncated_notice = (
f"\n\n... [OUTPUT TRUNCATED - {omitted:,} chars omitted "
f"out of {total_stdout:,} total] ...\n\n"
)
stdout_text = stdout_head + truncated_notice + stdout_tail
else:
stdout_text = stdout_head + stdout_tail
exit_code = proc.returncode if proc.returncode is not None else -1
duration = round(time.monotonic() - exec_start, 2)
# Wait for RPC thread to finish
server_sock.close() # break accept() so thread exits promptly
server_sock = None # prevent double close in finally
rpc_thread.join(timeout=3)
# Strip ANSI escape sequences so the model never sees terminal
# formatting — prevents it from copying escapes into file writes.
from tools.ansi_strip import strip_ansi
stdout_text = strip_ansi(stdout_text)
stderr_text = strip_ansi(stderr_text)
# Redact secrets (API keys, tokens, etc.) from sandbox output.
# The sandbox env-var filter (lines 434-454) blocks os.environ access,
# but scripts can still read secrets from disk (e.g. open('~/.hermes/.env')).
# This ensures leaked secrets never enter the model context.
from agent.redact import redact_sensitive_text
stdout_text = redact_sensitive_text(stdout_text)
stderr_text = redact_sensitive_text(stderr_text)
# Build response
result: Dict[str, Any] = {
"status": status,
"output": stdout_text,
"tool_calls_made": tool_call_counter[0],
"duration_seconds": duration,
}
if status == "timeout":
result["error"] = f"Script timed out after {timeout}s and was killed."
elif status == "interrupted":
result["output"] = stdout_text + "\n[execution interrupted — user sent a new message]"
elif exit_code != 0:
result["status"] = "error"
result["error"] = stderr_text or f"Script exited with code {exit_code}"
# Include stderr in output so the LLM sees the traceback
if stderr_text:
result["output"] = stdout_text + "\n--- stderr ---\n" + stderr_text
return json.dumps(result, ensure_ascii=False)
except Exception as exc:
duration = round(time.monotonic() - exec_start, 2)
logger.error(
"execute_code failed after %ss with %d tool calls: %s: %s",
duration,
tool_call_counter[0],
type(exc).__name__,
exc,
exc_info=True,
)
return json.dumps({
"status": "error",
"error": str(exc),
"tool_calls_made": tool_call_counter[0],
"duration_seconds": duration,
}, ensure_ascii=False)
finally:
# Cleanup temp dir and socket
if server_sock is not None:
try:
server_sock.close()
except OSError as e:
logger.debug("Server socket close error: %s", e)
import shutil
shutil.rmtree(tmpdir, ignore_errors=True)
try:
os.unlink(sock_path)
except OSError:
pass # already cleaned up or never created
def _kill_process_group(proc, escalate: bool = False):
"""Kill the child and its entire process group."""
try:
if _IS_WINDOWS:
proc.terminate()
else:
os.killpg(os.getpgid(proc.pid), signal.SIGTERM)
except (ProcessLookupError, PermissionError) as e:
logger.debug("Could not kill process group: %s", e, exc_info=True)
try:
proc.kill()
except Exception as e2:
logger.debug("Could not kill process: %s", e2, exc_info=True)
if escalate:
# Give the process 5s to exit after SIGTERM, then SIGKILL
try:
proc.wait(timeout=5)
except subprocess.TimeoutExpired:
try:
if _IS_WINDOWS:
proc.kill()
else:
os.killpg(os.getpgid(proc.pid), signal.SIGKILL)
except (ProcessLookupError, PermissionError) as e:
logger.debug("Could not kill process group with SIGKILL: %s", e, exc_info=True)
try:
proc.kill()
except Exception as e2:
logger.debug("Could not kill process: %s", e2, exc_info=True)
def _load_config() -> dict:
"""Load code_execution config from CLI_CONFIG if available."""
try:
from cli import CLI_CONFIG
return CLI_CONFIG.get("code_execution", {})
except Exception:
return {}
# ---------------------------------------------------------------------------
# OpenAI Function-Calling Schema
# ---------------------------------------------------------------------------
# Per-tool documentation lines for the execute_code description.
# Ordered to match the canonical display order.
_TOOL_DOC_LINES = [
("web_search",
" web_search(query: str, limit: int = 5) -> dict\n"
" Returns {\"data\": {\"web\": [{\"url\", \"title\", \"description\"}, ...]}}"),
("web_extract",
" web_extract(urls: list[str]) -> dict\n"
" Returns {\"results\": [{\"url\", \"title\", \"content\", \"error\"}, ...]} where content is markdown"),
("read_file",
" read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n"
" Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}"),
("write_file",
" write_file(path: str, content: str) -> dict\n"
" Always overwrites the entire file."),
("search_files",
" search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n"
" target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}"),
("patch",
" patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n"
" Replaces old_string with new_string in the file."),
("terminal",
" terminal(command: str, timeout=None, workdir=None) -> dict\n"
" Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}"),
]
def build_execute_code_schema(enabled_sandbox_tools: set = None) -> dict:
"""Build the execute_code schema with description listing only enabled tools.
When tools are disabled via ``hermes tools`` (e.g. web is turned off),
the schema description should NOT mention web_search / web_extract —
otherwise the model thinks they are available and keeps trying to use them.
"""
if enabled_sandbox_tools is None:
enabled_sandbox_tools = SANDBOX_ALLOWED_TOOLS
# Build tool documentation lines for only the enabled tools
tool_lines = "\n".join(
doc for name, doc in _TOOL_DOC_LINES if name in enabled_sandbox_tools
)
# Build example import list from enabled tools
import_examples = [n for n in ("web_search", "terminal") if n in enabled_sandbox_tools]
if not import_examples:
import_examples = sorted(enabled_sandbox_tools)[:2]
if import_examples:
import_str = ", ".join(import_examples) + ", ..."
else:
import_str = "..."
description = (
"Run a Python script that can call Hermes tools programmatically. "
"Use this when you need 3+ tool calls with processing logic between them, "
"need to filter/reduce large tool outputs before they enter your context, "
"need conditional branching (if X then Y else Z), or need to loop "
"(fetch N pages, process N files, retry on failure).\n\n"
"Use normal tool calls instead when: single tool call with no processing, "
"you need to see the full result and apply complex reasoning, "
"or the task requires interactive user input.\n\n"
f"Available via `from hermes_tools import ...`:\n\n"
f"{tool_lines}\n\n"
"Limits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. "
"terminal() is foreground-only (no background or pty). "
"If the session uses a cloud sandbox backend, treat it as resumable task state rather than a durable always-on machine.\n\n"
"Print your final result to stdout. Use Python stdlib (json, re, math, csv, "
"datetime, collections, etc.) for processing between tool calls.\n\n"
"Also available (no import needed — built into hermes_tools):\n"
" json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n"
" shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n"
" retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures"
)
return {
"name": "execute_code",
"description": description,
"parameters": {
"type": "object",
"properties": {
"code": {
"type": "string",
"description": (
"Python code to execute. Import tools with "
f"`from hermes_tools import {import_str}` "
"and print your final result to stdout."
),
},
},
"required": ["code"],
},
}
# Default schema used at registration time (all sandbox tools listed)
EXECUTE_CODE_SCHEMA = build_execute_code_schema()
# --- Registry ---
from tools.registry import registry
registry.register(
name="execute_code",
toolset="code_execution",
schema=EXECUTE_CODE_SCHEMA,
handler=lambda args, **kw: execute_code(
code=args.get("code", ""),
task_id=kw.get("task_id"),
enabled_tools=kw.get("enabled_tools")),
check_fn=check_sandbox_requirements,
emoji="🐍",
)