Open
Conversation
WalkthroughThis PR introduces a new Changes
Rationale: This is a fundamental security principle for any agent-controlled external communication. Unrestricted access turns the agent into a powerful attack vector. Granular control is essential to mitigate prompt injection and data exfiltration risks. Comment on lines +[1] to +[5] (Illustrative) 🔴 Critical: Blocking Interactive Prompts ( The direct use of Suggestion: # At the very top of your application entry point or configuration module
# from dotenv import load_dotenv
# load_dotenv() # Load .env variables
# In tools.py, ensure variables are present or fail
TAVILY_API_KEY = os.environ.get("TAVILY_API_KEY")
if not TAVILY_API_KEY:
raise ValueError("TAVILY_API_KEY environment variable not set.")
TELEGRAM_BOT_TOKEN = os.environ.get("TELEGRAM_BOT_TOKEN")
if not TELEGRAM_BOT_TOKEN:
raise ValueError("TELEGRAM_BOT_TOKEN environment variable not set.")Rationale: Production systems and automated environments cannot tolerate interactive prompts. Configuration should be declarative and pre-set, allowing the application to start reliably or fail predictably. Comment on lines +[10] to +[25] (Illustrative) 🟡 Major: Lack of Granular Access Control for Telegram Bot Usage The Telegram bot token grants full permissions to send messages. The Suggestion: # Example: Content filtering or templating
def telegram_send_tool(message: str, chat_id: Optional[str] = None) -> Dict:
# ... chat_id validation ...
# Basic content check
if any(keyword in message.lower() for keyword in ["sensitive_data", "internal_secret"]):
return {"ok": False, "error": "Message contains forbidden content."}
# ... rest of the sending logic ...Rationale: A bot token is a powerful credential. The tool using it should act as a gatekeeper, enforcing policies beyond what the Telegram API itself enforces, especially when an LLM agent is the caller. Comment on lines +[10] to +[25] (Illustrative) 🟡 Major: Potential for Sensitive API Key Exposure The Suggestion: Rationale: A compromised bot token grants full control over the Telegram bot, allowing an attacker to send messages, read updates, and potentially join/leave chats, leading to severe reputational and security damage. Comment on lines +[30] to +[40] (Illustrative) 🟡 Major: Synchronous Network Calls Without Explicit Timeouts The Suggestion: # For telegram_send_tool
response = requests.post(telegram_api_url, json=payload, timeout=(5, 10)) # 5s connect, 10s read
# For web_search_tool (if it uses requests directly, otherwise check TavilySearch's config)
# If TavilySearch allows, configure a timeout during initialization or in its run method.
# search = TavilySearch(api_key=TAVILY_API_KEY, timeout=15)Rationale: Unbounded network calls are a common source of performance bottlenecks and unresponsiveness in distributed systems. Timeouts ensure that your application fails fast rather than hanging indefinitely. Comment on lines +[30] to +[40] (Illustrative) 🟡 Major: Incomplete Error Handling for HTTP Requests The Suggestion: import requests # Make sure this is imported
def telegram_send_tool(message: str, chat_id: Optional[str] = None) -> Dict:
# ... (previous code) ...
try:
response = requests.post(telegram_api_url, json=payload, timeout=(5, 10))
response.raise_for_status() # Raises HTTPError for bad responses (4xx or 5xx)
resp_json = response.json()
# Remove direct print statement
return resp_json
except requests.exceptions.Timeout:
return {"ok": False, "error": "Telegram API request timed out."}
except requests.exceptions.ConnectionError:
return {"ok": False, "error": "Could not connect to Telegram API."}
except requests.exceptions.HTTPError as e:
try:
error_details = e.response.json()
return {"ok": False, "error": f"Telegram API error: {error_details.get('description', e)}"}
except ValueError: # If response is not JSON
return {"ok": False, "error": f"Telegram API returned non-JSON error: {e.response.text}"}
except ValueError: # JSON decoding error
return {"ok": False, "error": f"Failed to decode JSON from Telegram API response: {response.text}"}
except Exception as e: # Catch any other unexpected errors
return {"ok": False, "error": f"An unexpected error occurred: {str(e)}"}Rationale: Robust error handling is crucial for application stability and providing clear feedback. Unhandled exceptions can crash the application or lead to silent failures, making debugging and monitoring difficult. Comment on lines +[35] (Illustrative) 🟢 Low: Lack of Input Validation/Sanitization for Message Content The Suggestion: def telegram_send_tool(message: str, chat_id: Optional[str] = None) -> Dict:
# ...
# Example: Basic sanitization (adjust as per actual risk and Telegram's capabilities)
sanitized_message = message.strip()
if not sanitized_message:
return {"ok": False, "error": "Cannot send empty message."}
# Limit message length if Telegram API has limits or for abuse prevention
# sanitized_message = sanitized_message[:4096] # Telegram max message length
payload = {
"chat_id": chat_id,
"text": sanitized_message, # Use sanitized_message
}
# ...Rationale: While Telegram's API likely offers some protection, adding a layer of validation at the application level is a good security practice to prevent misuse and ensure message integrity, especially when dealing with AI-generated content. Comment on lines +[20] to +[25] (Illustrative) 🟢 Low: Potential for Repeated API Key Prompting Logic The pattern of checking Suggestion: def _load_api_key(env_var_name: str) -> str:
key = os.environ.get(env_var_name)
if not key:
# As discussed, remove getpass for non-interactive environments
raise ValueError(f"Environment variable {env_var_name} not set.")
return key
TAVILY_API_KEY = _load_api_key("TAVILY_API_KEY")
TELEGRAM_BOT_TOKEN = _load_api_key("TELEGRAM_BOT_TOKEN")Rationale: DRY (Don't Repeat Yourself) principle. Centralizing common logic makes the codebase cleaner, easier to update, and less prone to inconsistencies. Comment on lines +[37] and +[45] (Illustrative) 🟢 Low: Direct Console Prints for Debugging Direct Suggestion: Rationale: In a production system, these should be replaced with a structured logging framework (e.g., Python's Comment on lines +[1] to +[50] (Illustrative) 🟢 Low: Lack of Retry Mechanism for External API Calls Neither the Suggestion: from tenacity import retry, stop_after_attempt, wait_fixed, retry_if_exception_type
import requests.exceptions
@retry(stop=stop_after_attempt(3), wait=wait_fixed(2), retry=retry_if_exception_type(requests.exceptions.RequestException))
def _send_telegram_request(url, payload, timeout):
response = requests.post(url, json=payload, timeout=timeout)
response.raise_for_status()
return response.json()
def telegram_send_tool(message: str, chat_id: Optional[str] = None) -> Dict:
# ...
try:
resp_json = _send_telegram_request(telegram_api_url, payload, (5, 10))
return resp_json
except requests.exceptions.RequestException as e:
return {"ok": False, "error": f"Telegram API request failed after retries: {str(e)}"}
# ...Rationale: Retries improve the robustness and reliability of integrations with external services, which can experience temporary availability issues. Comment on lines +[20] to +[25] (Illustrative) 🟢 Low: The Suggestion: # At module level, after TAVILY_API_KEY is loaded
from langchain_tavily import TavilySearch
_tavily_search_client = TavilySearch(api_key=TAVILY_API_KEY)
def web_search_tool(query: str) -> str:
# Use the pre-instantiated client
return _tavily_search_client.run(query)Rationale: Reusing object instances can reduce overhead, especially if the object's constructor performs non-trivial setup operations. Comment on end of file 🟢 Low: No newline at end of file The file Suggestion: Rationale: This is a common coding style preference (e.g., POSIX standard) and can prevent issues with certain tools, linters, or version control systems that expect files to end with a newline. Actionable comments posted: 9 Summary by CodeDaddy
Thanks for using code-Daddy! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. ❤️ ShareHey there! If CodeDaddy helped streamline your review process, consider sharing your experience on social media or with your team. Every mention helps us improve and reach more developers! 📚 Tips
|
|
Important Review skippedBot user detected. To trigger a single review, invoke the You can disable this status message by setting the Tip 📝 Customizable high-level summaries are now available in beta!You can now customize how CodeRabbit generates the high-level summary in your pull requests — including its content, structure, tone, and formatting.
Example instruction:
Note: This feature is currently in beta for Pro-tier users, and pricing will be announced later. Comment |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This pull request contains AI-suggested changes:
add a telegram tool