Add a claude code-like CLI

- Introduced `cli-config.yaml.example` to provide a template for configuring the CLI behavior, including model settings, terminal tool configurations, agent behavior, and toolsets.
- Created `cli.py` for an interactive terminal interface, allowing users to start the Hermes Agent with various options and toolsets.
- Added `hermes` launcher script for convenient CLI access.
- Updated `model_tools.py` to support quiet mode for suppressing output during tool initialization and execution.
- Enhanced logging in various tools to respect quiet mode, improving user experience by reducing unnecessary output.
- Added `prompt_toolkit` to `requirements.txt` for improved CLI interaction capabilities.
- Created `TODO.md` for future improvements and enhancements to the Hermes Agent framework.
This commit is contained in:
teknium 2026-01-31 06:30:48 +00:00
parent 8e986584f4
commit bc76a032ba
10 changed files with 2251 additions and 118 deletions

View file

@ -1343,8 +1343,9 @@ def cleanup_browser(task_id: Optional[str] = None) -> None:
if task_id is None:
task_id = "default"
print(f"[browser_tool] cleanup_browser called for task_id: {task_id}", file=sys.stderr)
print(f"[browser_tool] Active sessions: {list(_active_sessions.keys())}", file=sys.stderr)
if not os.getenv("HERMES_QUIET"):
print(f"[browser_tool] cleanup_browser called for task_id: {task_id}", file=sys.stderr)
print(f"[browser_tool] Active sessions: {list(_active_sessions.keys())}", file=sys.stderr)
if task_id in _active_sessions:
session_info = _active_sessions[task_id]
@ -1368,8 +1369,9 @@ def cleanup_browser(task_id: Optional[str] = None) -> None:
print(f"[browser_tool] Exception during BrowserBase session close: {e}", file=sys.stderr)
del _active_sessions[task_id]
print(f"[browser_tool] Removed task {task_id} from active sessions", file=sys.stderr)
else:
if not os.getenv("HERMES_QUIET"):
print(f"[browser_tool] Removed task {task_id} from active sessions", file=sys.stderr)
elif not os.getenv("HERMES_QUIET"):
print(f"[browser_tool] No active session found for task_id: {task_id}", file=sys.stderr)

View file

@ -64,11 +64,13 @@ def _get_scratch_dir() -> Path:
# Create user-specific subdirectory
user_scratch = scratch / os.getenv("USER", "hermes") / "hermes-agent"
user_scratch.mkdir(parents=True, exist_ok=True)
print(f"[Terminal] Using /scratch for sandboxes: {user_scratch}")
if not os.getenv("HERMES_QUIET"):
print(f"[Terminal] Using /scratch for sandboxes: {user_scratch}")
return user_scratch
# Fall back to /tmp
print("[Terminal] Warning: /scratch not available, using /tmp (limited space)")
if not os.getenv("HERMES_QUIET"):
print("[Terminal] Warning: /scratch not available, using /tmp (limited space)")
return Path(tempfile.gettempdir())
@ -307,6 +309,144 @@ class _SingularityEnvironment:
"""Cleanup on destruction."""
self.cleanup()
class _SSHEnvironment:
"""
SSH-based remote execution environment.
Runs commands on a remote machine over SSH, keeping the agent code
completely isolated from the execution environment. Uses SSH ControlMaster
for connection persistence (faster subsequent commands).
Security benefits:
- Agent cannot modify its own code
- Remote machine acts as a sandbox
- Clear separation between agent and execution environment
"""
def __init__(self, host: str, user: str, cwd: str = "/tmp", timeout: int = 60,
port: int = 22, key_path: str = ""):
self.host = host
self.user = user
self.cwd = cwd
self.timeout = timeout
self.port = port
self.key_path = key_path
# Create control socket directory for connection persistence
self.control_dir = Path(tempfile.gettempdir()) / "hermes-ssh"
self.control_dir.mkdir(parents=True, exist_ok=True)
self.control_socket = self.control_dir / f"{user}@{host}:{port}.sock"
# Test connection and establish ControlMaster
self._establish_connection()
def _build_ssh_command(self, extra_args: list = None) -> list:
"""Build base SSH command with connection options."""
cmd = ["ssh"]
# Connection multiplexing for performance
cmd.extend(["-o", f"ControlPath={self.control_socket}"])
cmd.extend(["-o", "ControlMaster=auto"])
cmd.extend(["-o", "ControlPersist=300"]) # Keep connection alive for 5 min
# Standard options
cmd.extend(["-o", "BatchMode=yes"]) # No password prompts
cmd.extend(["-o", "StrictHostKeyChecking=accept-new"]) # Accept new hosts
cmd.extend(["-o", "ConnectTimeout=10"])
# Port
if self.port != 22:
cmd.extend(["-p", str(self.port)])
# Private key
if self.key_path:
cmd.extend(["-i", self.key_path])
# Extra args (like -t for TTY)
if extra_args:
cmd.extend(extra_args)
# Target
cmd.append(f"{self.user}@{self.host}")
return cmd
def _establish_connection(self):
"""Test SSH connection and establish ControlMaster."""
cmd = self._build_ssh_command()
cmd.append("echo 'SSH connection established'")
try:
result = subprocess.run(
cmd,
capture_output=True,
text=True,
timeout=15
)
if result.returncode != 0:
error_msg = result.stderr.strip() or result.stdout.strip()
raise RuntimeError(f"SSH connection failed: {error_msg}")
except subprocess.TimeoutExpired:
raise RuntimeError(f"SSH connection to {self.user}@{self.host} timed out")
def execute(self, command: str, cwd: str = "", *, timeout: int | None = None) -> dict:
"""Execute a command on the remote host via SSH."""
work_dir = cwd or self.cwd
effective_timeout = timeout or self.timeout
# Wrap command to run in the correct directory
# Use bash -c to handle complex commands properly
wrapped_command = f'cd {work_dir} && {command}'
cmd = self._build_ssh_command()
cmd.extend(["bash", "-c", wrapped_command])
try:
result = subprocess.run(
cmd,
text=True,
timeout=effective_timeout,
encoding="utf-8",
errors="replace",
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
)
return {"output": result.stdout, "returncode": result.returncode}
except subprocess.TimeoutExpired:
return {"output": f"Command timed out after {effective_timeout}s", "returncode": 124}
except Exception as e:
return {"output": f"SSH execution error: {str(e)}", "returncode": 1}
def cleanup(self):
"""Close the SSH ControlMaster connection."""
if self.control_socket.exists():
try:
# Send exit command to ControlMaster
cmd = ["ssh", "-o", f"ControlPath={self.control_socket}", "-O", "exit",
f"{self.user}@{self.host}"]
subprocess.run(cmd, capture_output=True, timeout=5)
except:
pass
# Remove socket file
try:
self.control_socket.unlink()
except:
pass
def stop(self):
"""Alias for cleanup."""
self.cleanup()
def __del__(self):
"""Cleanup on destruction."""
try:
self.cleanup()
except:
pass
# Tool description for LLM
TERMINAL_TOOL_DESCRIPTION = """Execute commands on a secure Linux environment.
@ -348,25 +488,31 @@ _cleanup_running = False
def _get_env_config() -> Dict[str, Any]:
"""Get terminal environment configuration from environment variables."""
return {
"env_type": os.getenv("TERMINAL_ENV", "local"), # local, docker, singularity, or modal
"env_type": os.getenv("TERMINAL_ENV", "local"), # local, docker, singularity, modal, or ssh
"docker_image": os.getenv("TERMINAL_DOCKER_IMAGE", "python:3.11"),
"singularity_image": os.getenv("TERMINAL_SINGULARITY_IMAGE", "docker://python:3.11"),
"modal_image": os.getenv("TERMINAL_MODAL_IMAGE", "python:3.11"),
"cwd": os.getenv("TERMINAL_CWD", "/tmp"),
"timeout": int(os.getenv("TERMINAL_TIMEOUT", "60")),
"lifetime_seconds": int(os.getenv("TERMINAL_LIFETIME_SECONDS", "300")),
# SSH-specific config
"ssh_host": os.getenv("TERMINAL_SSH_HOST", ""),
"ssh_user": os.getenv("TERMINAL_SSH_USER", ""),
"ssh_port": int(os.getenv("TERMINAL_SSH_PORT", "22")),
"ssh_key": os.getenv("TERMINAL_SSH_KEY", ""), # Path to private key (optional, uses ssh-agent if empty)
}
def _create_environment(env_type: str, image: str, cwd: str, timeout: int):
def _create_environment(env_type: str, image: str, cwd: str, timeout: int, ssh_config: dict = None):
"""
Create an execution environment from mini-swe-agent.
Args:
env_type: One of "local", "docker", "singularity", "modal"
image: Docker/Singularity/Modal image name (ignored for local)
env_type: One of "local", "docker", "singularity", "modal", "ssh"
image: Docker/Singularity/Modal image name (ignored for local/ssh)
cwd: Working directory
timeout: Default command timeout
ssh_config: SSH connection config (for env_type="ssh")
Returns:
Environment instance with execute() method
@ -387,8 +533,20 @@ def _create_environment(env_type: str, image: str, cwd: str, timeout: int):
from minisweagent.environments.extra.swerex_modal import SwerexModalEnvironment
return SwerexModalEnvironment(image=image, cwd=cwd, timeout=timeout)
elif env_type == "ssh":
if not ssh_config or not ssh_config.get("host") or not ssh_config.get("user"):
raise ValueError("SSH environment requires ssh_host and ssh_user to be configured")
return _SSHEnvironment(
host=ssh_config["host"],
user=ssh_config["user"],
port=ssh_config.get("port", 22),
key_path=ssh_config.get("key", ""),
cwd=cwd,
timeout=timeout
)
else:
raise ValueError(f"Unknown environment type: {env_type}. Use 'local', 'docker', 'singularity', or 'modal'")
raise ValueError(f"Unknown environment type: {env_type}. Use 'local', 'docker', 'singularity', 'modal', or 'ssh'")
def _cleanup_inactive_envs(lifetime_seconds: int = 300):
@ -416,7 +574,8 @@ def _cleanup_inactive_envs(lifetime_seconds: int = 300):
env.terminate()
del _active_environments[task_id]
print(f"[Terminal Cleanup] Cleaned up inactive environment for task: {task_id}")
if not os.getenv("HERMES_QUIET"):
print(f"[Terminal Cleanup] Cleaned up inactive environment for task: {task_id}")
if task_id in _last_activity:
del _last_activity[task_id]
@ -425,10 +584,11 @@ def _cleanup_inactive_envs(lifetime_seconds: int = 300):
except Exception as e:
error_str = str(e)
if "404" in error_str or "not found" in error_str.lower():
print(f"[Terminal Cleanup] Environment for task {task_id} already cleaned up")
else:
print(f"[Terminal Cleanup] Error cleaning up environment for task {task_id}: {e}")
if not os.getenv("HERMES_QUIET"):
if "404" in error_str or "not found" in error_str.lower():
print(f"[Terminal Cleanup] Environment for task {task_id} already cleaned up")
else:
print(f"[Terminal Cleanup] Error cleaning up environment for task {task_id}: {e}")
# Always remove from tracking dicts
if task_id in _active_environments:
@ -448,7 +608,8 @@ def _cleanup_thread_worker():
config = _get_env_config()
_cleanup_inactive_envs(config["lifetime_seconds"])
except Exception as e:
print(f"[Terminal Cleanup] Error in cleanup thread: {e}")
if not os.getenv("HERMES_QUIET"):
print(f"[Terminal Cleanup] Error in cleanup thread: {e}")
for _ in range(60):
if not _cleanup_running:
@ -545,7 +706,8 @@ def cleanup_vm(task_id: str):
env.terminate()
del _active_environments[task_id]
print(f"[Terminal Cleanup] Manually cleaned up environment for task: {task_id}")
if not os.getenv("HERMES_QUIET"):
print(f"[Terminal Cleanup] Manually cleaned up environment for task: {task_id}")
if task_id in _task_workdirs:
del _task_workdirs[task_id]
@ -554,11 +716,12 @@ def cleanup_vm(task_id: str):
del _last_activity[task_id]
except Exception as e:
error_str = str(e)
if "404" in error_str or "not found" in error_str.lower():
print(f"[Terminal Cleanup] Environment for task {task_id} already cleaned up")
else:
print(f"[Terminal Cleanup] Error cleaning up environment for task {task_id}: {e}")
if not os.getenv("HERMES_QUIET"):
error_str = str(e)
if "404" in error_str or "not found" in error_str.lower():
print(f"[Terminal Cleanup] Environment for task {task_id} already cleaned up")
else:
print(f"[Terminal Cleanup] Error cleaning up environment for task {task_id}: {e}")
atexit.register(_stop_cleanup_thread)
@ -616,9 +779,10 @@ def terminal_tool(
# Use task_id for environment isolation
effective_task_id = task_id or "default"
# For local environment, create a unique subdirectory per task
# For local environment in batch mode, create a unique subdirectory per task
# This prevents parallel tasks from overwriting each other's files
if env_type == "local":
# In CLI mode (HERMES_QUIET), use the cwd directly without subdirectories
if env_type == "local" and not os.getenv("HERMES_QUIET"):
import uuid
with _env_lock:
if effective_task_id not in _task_workdirs:
@ -637,11 +801,22 @@ def terminal_tool(
_check_disk_usage_warning()
try:
# Build SSH config if using SSH environment
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", ""),
}
_active_environments[effective_task_id] = _create_environment(
env_type=env_type,
image=image,
cwd=cwd,
timeout=effective_timeout
timeout=effective_timeout,
ssh_config=ssh_config
)
except ImportError as e:
return json.dumps({

View file

@ -99,7 +99,13 @@ DEBUG_DATA = {
# Create logs directory if debug mode is enabled
if DEBUG_MODE:
DEBUG_LOG_PATH.mkdir(exist_ok=True)
print(f"🐛 Debug mode enabled - Session ID: {DEBUG_SESSION_ID}")
_verbose_print(f"🐛 Debug mode enabled - Session ID: {DEBUG_SESSION_ID}")
def _verbose_print(*args, **kwargs):
"""Print only if not in quiet mode (HERMES_QUIET not set)."""
if not os.getenv("HERMES_QUIET"):
print(*args, **kwargs)
def _log_debug_call(tool_name: str, call_data: Dict[str, Any]) -> None:
@ -140,7 +146,7 @@ def _save_debug_log() -> None:
with open(debug_filepath, 'w', encoding='utf-8') as f:
json.dump(DEBUG_DATA, f, indent=2, ensure_ascii=False)
print(f"🐛 Debug log saved: {debug_filepath}")
_verbose_print(f"🐛 Debug log saved: {debug_filepath}")
except Exception as e:
print(f"❌ Error saving debug log: {str(e)}")
@ -185,12 +191,12 @@ async def process_content_with_llm(
# Refuse if content is absurdly large
if content_len > MAX_CONTENT_SIZE:
size_mb = content_len / 1_000_000
print(f"🚫 Content too large ({size_mb:.1f}MB > 2MB limit). Refusing to process.")
_verbose_print(f"🚫 Content too large ({size_mb:.1f}MB > 2MB limit). Refusing to process.")
return f"[Content too large to process: {size_mb:.1f}MB. Try using web_crawl with specific extraction instructions, or search for a more focused source.]"
# Skip processing if content is too short
if content_len < min_length:
print(f"📏 Content too short ({content_len} < {min_length} chars), skipping LLM processing")
_verbose_print(f"📏 Content too short ({content_len} < {min_length} chars), skipping LLM processing")
return None
# Create context information
@ -203,13 +209,13 @@ async def process_content_with_llm(
# Check if we need chunked processing
if content_len > CHUNK_THRESHOLD:
print(f"📦 Content large ({content_len:,} chars). Using chunked processing...")
_verbose_print(f"📦 Content large ({content_len:,} chars). Using chunked processing...")
return await _process_large_content_chunked(
content, context_str, model, CHUNK_SIZE, MAX_OUTPUT_SIZE
)
# Standard single-pass processing for normal content
print(f"🧠 Processing content with LLM ({content_len} characters)")
_verbose_print(f"🧠 Processing content with LLM ({content_len} characters)")
processed_content = await _call_summarizer_llm(content, context_str, model)
@ -221,7 +227,7 @@ async def process_content_with_llm(
# Log compression metrics
processed_length = len(processed_content)
compression_ratio = processed_length / content_len if content_len > 0 else 1.0
print(f"✅ Content processed: {content_len}{processed_length} chars ({compression_ratio:.1%})")
_verbose_print(f"✅ Content processed: {content_len}{processed_length} chars ({compression_ratio:.1%})")
return processed_content
@ -318,8 +324,8 @@ Create a markdown summary that captures all key information in a well-organized,
except Exception as api_error:
last_error = api_error
if attempt < max_retries - 1:
print(f"⚠️ LLM API call failed (attempt {attempt + 1}/{max_retries}): {str(api_error)[:100]}")
print(f" Retrying in {retry_delay}s...")
_verbose_print(f"⚠️ LLM API call failed (attempt {attempt + 1}/{max_retries}): {str(api_error)[:100]}")
_verbose_print(f" Retrying in {retry_delay}s...")
await asyncio.sleep(retry_delay)
retry_delay = min(retry_delay * 2, 60)
else:
@ -355,7 +361,7 @@ async def _process_large_content_chunked(
chunk = content[i:i + chunk_size]
chunks.append(chunk)
print(f" 📦 Split into {len(chunks)} chunks of ~{chunk_size:,} chars each")
_verbose_print(f" 📦 Split into {len(chunks)} chunks of ~{chunk_size:,} chars each")
# Summarize each chunk in parallel
async def summarize_chunk(chunk_idx: int, chunk_content: str) -> tuple[int, Optional[str]]:
@ -371,10 +377,10 @@ async def _process_large_content_chunked(
chunk_info=chunk_info
)
if summary:
print(f" ✅ Chunk {chunk_idx + 1}/{len(chunks)} summarized: {len(chunk_content):,}{len(summary):,} chars")
_verbose_print(f" ✅ Chunk {chunk_idx + 1}/{len(chunks)} summarized: {len(chunk_content):,}{len(summary):,} chars")
return chunk_idx, summary
except Exception as e:
print(f" ⚠️ Chunk {chunk_idx + 1}/{len(chunks)} failed: {str(e)[:50]}")
_verbose_print(f" ⚠️ Chunk {chunk_idx + 1}/{len(chunks)} failed: {str(e)[:50]}")
return chunk_idx, None
# Run all chunk summarizations in parallel
@ -391,7 +397,7 @@ async def _process_large_content_chunked(
print(f" ❌ All chunk summarizations failed")
return "[Failed to process large content: all chunk summarizations failed]"
print(f" 📊 Got {len(summaries)}/{len(chunks)} chunk summaries")
_verbose_print(f" 📊 Got {len(summaries)}/{len(chunks)} chunk summaries")
# If only one chunk succeeded, just return it (with cap)
if len(summaries) == 1:
@ -401,7 +407,7 @@ async def _process_large_content_chunked(
return result
# Synthesize the summaries into a final summary
print(f" 🔗 Synthesizing {len(summaries)} summaries...")
_verbose_print(f" 🔗 Synthesizing {len(summaries)} summaries...")
combined_summaries = "\n\n---\n\n".join(summaries)
@ -443,11 +449,11 @@ Create a single, unified markdown summary."""
final_len = len(final_summary)
compression = final_len / original_len if original_len > 0 else 1.0
print(f" ✅ Synthesis complete: {original_len:,}{final_len:,} chars ({compression:.2%})")
_verbose_print(f" ✅ Synthesis complete: {original_len:,}{final_len:,} chars ({compression:.2%})")
return final_summary
except Exception as e:
print(f" ⚠️ Synthesis failed: {str(e)[:100]}")
_verbose_print(f" ⚠️ Synthesis failed: {str(e)[:100]}")
# Fall back to concatenated summaries with truncation
fallback = "\n\n".join(summaries)
if len(fallback) > max_output_size:
@ -534,7 +540,8 @@ def web_search_tool(query: str, limit: int = 5) -> str:
}
try:
print(f"🔍 Searching the web for: '{query}' (limit: {limit})")
if not os.getenv("HERMES_QUIET"):
_verbose_print(f"🔍 Searching the web for: '{query}' (limit: {limit})")
# Use Firecrawl's v2 search functionality WITHOUT scraping
# We only want search result metadata, not scraped content
@ -574,7 +581,8 @@ def web_search_tool(query: str, limit: int = 5) -> str:
web_results = response['web']
results_count = len(web_results)
print(f"✅ Found {results_count} search results")
if not os.getenv("HERMES_QUIET"):
_verbose_print(f"✅ Found {results_count} search results")
# Build response with just search metadata (URLs, titles, descriptions)
response_data = {
@ -654,7 +662,7 @@ async def web_extract_tool(
}
try:
print(f"📄 Extracting content from {len(urls)} URL(s)")
_verbose_print(f"📄 Extracting content from {len(urls)} URL(s)")
# Determine requested formats for Firecrawl v2
formats: List[str] = []
@ -672,7 +680,7 @@ async def web_extract_tool(
for url in urls:
try:
print(f" 📄 Scraping: {url}")
_verbose_print(f" 📄 Scraping: {url}")
scrape_result = _get_firecrawl_client().scrape(
url=url,
formats=formats
@ -748,14 +756,14 @@ async def web_extract_tool(
response = {"results": results}
pages_extracted = len(response.get('results', []))
print(f"✅ Extracted content from {pages_extracted} pages")
_verbose_print(f"✅ Extracted content from {pages_extracted} pages")
debug_call_data["pages_extracted"] = pages_extracted
debug_call_data["original_response_size"] = len(json.dumps(response))
# Process each result with LLM if enabled
if use_llm_processing and os.getenv("OPENROUTER_API_KEY"):
print("🧠 Processing extracted content with LLM (parallel)...")
_verbose_print("🧠 Processing extracted content with LLM (parallel)...")
debug_call_data["processing_applied"].append("llm_processing")
# Prepare tasks for parallel processing
@ -813,12 +821,12 @@ async def web_extract_tool(
if status == "processed":
debug_call_data["compression_metrics"].append(metrics)
debug_call_data["pages_processed_with_llm"] += 1
print(f" 📝 {url} (processed)")
_verbose_print(f" 📝 {url} (processed)")
elif status == "too_short":
debug_call_data["compression_metrics"].append(metrics)
print(f" 📝 {url} (no processing - content too short)")
_verbose_print(f" 📝 {url} (no processing - content too short)")
else:
print(f" ⚠️ {url} (no content to process)")
_verbose_print(f" ⚠️ {url} (no content to process)")
else:
if use_llm_processing and not os.getenv("OPENROUTER_API_KEY"):
print("⚠️ LLM processing requested but OPENROUTER_API_KEY not set, returning raw content")
@ -828,7 +836,7 @@ async def web_extract_tool(
for result in response.get('results', []):
url = result.get('url', 'Unknown URL')
content_length = len(result.get('raw_content', ''))
print(f" 📝 {url} ({content_length} characters)")
_verbose_print(f" 📝 {url} ({content_length} characters)")
# Trim output to minimal fields per entry: title, content, error
trimmed_results = [
@ -923,10 +931,10 @@ async def web_crawl_tool(
# Ensure URL has protocol
if not url.startswith(('http://', 'https://')):
url = f'https://{url}'
print(f" 📝 Added https:// prefix to URL: {url}")
_verbose_print(f" 📝 Added https:// prefix to URL: {url}")
instructions_text = f" with instructions: '{instructions}'" if instructions else ""
print(f"🕷️ Crawling {url}{instructions_text}")
_verbose_print(f"🕷️ Crawling {url}{instructions_text}")
# Use Firecrawl's v2 crawl functionality
# Docs: https://docs.firecrawl.dev/features/crawl
@ -943,7 +951,7 @@ async def web_crawl_tool(
# Note: The 'prompt' parameter is not documented for crawl
# Instructions are typically used with the Extract endpoint, not Crawl
if instructions:
print(f" Note: Instructions parameter ignored (not supported in crawl API)")
_verbose_print(f" Note: Instructions parameter ignored (not supported in crawl API)")
# Use the crawl method which waits for completion automatically
try:
@ -963,23 +971,23 @@ async def web_crawl_tool(
# The crawl_result is a CrawlJob object with a 'data' attribute containing list of Document objects
if hasattr(crawl_result, 'data'):
data_list = crawl_result.data if crawl_result.data else []
print(f" 📊 Status: {getattr(crawl_result, 'status', 'unknown')}")
print(f" 📄 Retrieved {len(data_list)} pages")
_verbose_print(f" 📊 Status: {getattr(crawl_result, 'status', 'unknown')}")
_verbose_print(f" 📄 Retrieved {len(data_list)} pages")
# Debug: Check other attributes if no data
if not data_list:
print(f" 🔍 Debug - CrawlJob attributes: {[attr for attr in dir(crawl_result) if not attr.startswith('_')]}")
print(f" 🔍 Debug - Status: {getattr(crawl_result, 'status', 'N/A')}")
print(f" 🔍 Debug - Total: {getattr(crawl_result, 'total', 'N/A')}")
print(f" 🔍 Debug - Completed: {getattr(crawl_result, 'completed', 'N/A')}")
_verbose_print(f" 🔍 Debug - CrawlJob attributes: {[attr for attr in dir(crawl_result) if not attr.startswith('_')]}")
_verbose_print(f" 🔍 Debug - Status: {getattr(crawl_result, 'status', 'N/A')}")
_verbose_print(f" 🔍 Debug - Total: {getattr(crawl_result, 'total', 'N/A')}")
_verbose_print(f" 🔍 Debug - Completed: {getattr(crawl_result, 'completed', 'N/A')}")
elif isinstance(crawl_result, dict) and 'data' in crawl_result:
data_list = crawl_result.get("data", [])
else:
print(" ⚠️ Unexpected crawl result type")
print(f" 🔍 Debug - Result type: {type(crawl_result)}")
_verbose_print(f" 🔍 Debug - Result type: {type(crawl_result)}")
if hasattr(crawl_result, '__dict__'):
print(f" 🔍 Debug - Result attributes: {list(crawl_result.__dict__.keys())}")
_verbose_print(f" 🔍 Debug - Result attributes: {list(crawl_result.__dict__.keys())}")
for item in data_list:
# Process each crawled page - properly handle object serialization
@ -1044,14 +1052,14 @@ async def web_crawl_tool(
response = {"results": pages}
pages_crawled = len(response.get('results', []))
print(f"✅ Crawled {pages_crawled} pages")
_verbose_print(f"✅ Crawled {pages_crawled} pages")
debug_call_data["pages_crawled"] = pages_crawled
debug_call_data["original_response_size"] = len(json.dumps(response))
# Process each result with LLM if enabled
if use_llm_processing and os.getenv("OPENROUTER_API_KEY"):
print("🧠 Processing crawled content with LLM (parallel)...")
_verbose_print("🧠 Processing crawled content with LLM (parallel)...")
debug_call_data["processing_applied"].append("llm_processing")
# Prepare tasks for parallel processing
@ -1109,12 +1117,12 @@ async def web_crawl_tool(
if status == "processed":
debug_call_data["compression_metrics"].append(metrics)
debug_call_data["pages_processed_with_llm"] += 1
print(f" 🌐 {page_url} (processed)")
_verbose_print(f" 🌐 {page_url} (processed)")
elif status == "too_short":
debug_call_data["compression_metrics"].append(metrics)
print(f" 🌐 {page_url} (no processing - content too short)")
_verbose_print(f" 🌐 {page_url} (no processing - content too short)")
else:
print(f" ⚠️ {page_url} (no content to process)")
_verbose_print(f" ⚠️ {page_url} (no content to process)")
else:
if use_llm_processing and not os.getenv("OPENROUTER_API_KEY"):
print("⚠️ LLM processing requested but OPENROUTER_API_KEY not set, returning raw content")
@ -1124,7 +1132,7 @@ async def web_crawl_tool(
for result in response.get('results', []):
page_url = result.get('url', 'Unknown URL')
content_length = len(result.get('content', ''))
print(f" 🌐 {page_url} ({content_length} characters)")
_verbose_print(f" 🌐 {page_url} ({content_length} characters)")
# Trim output to minimal fields per entry: title, content, error
trimmed_results = [
@ -1246,7 +1254,7 @@ if __name__ == "__main__":
# Show debug mode status
if DEBUG_MODE:
print(f"🐛 Debug mode ENABLED - Session ID: {DEBUG_SESSION_ID}")
_verbose_print(f"🐛 Debug mode ENABLED - Session ID: {DEBUG_SESSION_ID}")
print(f" Debug logs will be saved to: ./logs/web_tools_debug_{DEBUG_SESSION_ID}.json")
else:
print("🐛 Debug mode disabled (set WEB_TOOLS_DEBUG=true to enable)")