[Feat]: LangGraph POC and Base restructuring #69
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WalkthroughThis update introduces a modular, agent-driven backend system for developer relations automation, replacing the previous FastAPI server and Discord bot implementation. Key changes include a new agent orchestration framework, a Discord bot integrated with an asynchronous queue manager, specialized agent nodes and tools, robust configuration management, and removal of the legacy Discord bot and web server code. The system now operates as a standalone asynchronous application. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant DiscordBot
participant AsyncQueueManager
participant AgentCoordinator
participant DevRelAgent
participant ClassificationRouter
User->>DiscordBot: Sends message
DiscordBot->>ClassificationRouter: Classify message
ClassificationRouter-->>DiscordBot: Returns classification
DiscordBot->>AsyncQueueManager: Enqueue message (if DevRel needed)
AsyncQueueManager->>AgentCoordinator: Dispatch message to handler
AgentCoordinator->>DevRelAgent: Run agent with AgentState
DevRelAgent->>DevRelAgent: LangGraph workflow (nodes, routing)
DevRelAgent-->>AgentCoordinator: Returns final response
AgentCoordinator->>AsyncQueueManager: Enqueue response for platform
AsyncQueueManager->>DiscordBot: Dispatch agent response
DiscordBot->>User: Posts response in thread
Poem
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Hello @smokeyScraper, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
Summary of Changes
Hello team! Gemini here, providing a summary of this pull request titled "LangGraph POC and Base restructuring".
The primary goal of this PR is to introduce LangGraph as the framework for building stateful agent workflows and to establish a foundational structure for different agents within the backend. It refactors the core application entry point (main.py) to use a new orchestration layer (AgentCoordinator, QueueManager) instead of the previous event bus system. A concrete implementation of a DevRelAgent is included as a proof-of-concept, demonstrating how LangGraph can be used to handle different user intents (like FAQs, web search, technical support, onboarding) by routing messages through a defined graph of nodes. The PR also adds basic tools for the DevRel agent (FAQ lookup, Tavily web search) and a message classification system to determine the appropriate agent and priority for incoming messages. Finally, it integrates this new architecture with the Discord bot, enabling it to classify messages, enqueue them for processing, manage user threads, and send back agent responses.
Highlights
- LangGraph Integration: Introduces LangGraph (
langgraph) to define and manage complex, stateful agent workflows, starting with aDevRelAgent. - Backend Restructuring: Refactors the backend architecture to include a
BaseAgentclass, anAgentStatemodel, anAgentCoordinator, and anAsyncQueueManagerfor handling messages and orchestrating agent execution. - DevRel Agent POC: Implements a proof-of-concept
DevRelAgentwith a workflow graph that includes steps for intent classification, context gathering, handling specific request types (FAQ, web search, technical support, onboarding), and generating a final response. - Message Classification: Adds a
ClassificationRouterthat uses an LLM and pattern matching to classify incoming messages by category (e.g., FAQ, Technical Support, Web Search) and determine their priority and suggested agent. - Agent Tools: Includes basic tool implementations for the
DevRelAgent, specifically aFAQToolwith hardcoded responses and aTavilySearchToolfor web lookups. - Discord Bot Integration: Updates the Discord bot to integrate with the new queueing and agent system, enabling it to classify messages, enqueue them for processing, manage user-specific threads for conversations, and send back agent-generated responses.
- Configuration Management: Introduces
pydantic-settingsfor centralized and structured application configuration loaded from environment variables. - Dependency Updates: Adds new dependencies (
langgraph,langchain-tavily,tavily-python,langchain[google-genai],pydantic-settings) and removes old ones (langchain-groq,groq) to support the new architecture and LLM provider.
Changelog
Click here to see the changelog
- backend/app/agents/init.py
- New file created.
- Exports
DevRelAgent,BaseAgent,AgentState, andClassificationRouter.
- backend/app/agents/devrel/agent.py
- New file created.
- Defines the
DevRelAgentclass inheriting fromBaseAgent. - Implements the
_build_graphmethod to define the LangGraph workflow. - Adds nodes for intent classification, context gathering, handling various request types (FAQ, web search, tech support, onboarding), and response generation.
- Includes methods for routing based on classification (
_route_to_handler), extracting search queries (_extract_search_query), and formatting search/LLM responses (_create_search_response,_create_llm_response). - Uses
ChatGoogleGenerativeAI,TavilySearchTool, andFAQTool.
- backend/app/agents/devrel/tools/faq_tool.py
- New file created.
- Defines the
FAQToolclass. - Includes hardcoded FAQ responses.
- Implements
get_responsefor retrieving answers based on direct or simple fuzzy matching.
- backend/app/agents/devrel/tools/search_tool.py
- New file created.
- Defines the
TavilySearchToolclass. - Integrates with the Tavily API for web search.
- Implements the
searchmethod to perform queries and return results.
- backend/app/agents/shared/base_agent.py
- New file created.
- Defines the
AgentStatePydantic model for managing agent state. - Defines the abstract
BaseAgentclass with methods for building and running the LangGraph workflow (_build_graph,run,stream_run).
- backend/app/agents/shared/classification_router.py
- New file created.
- Defines
MessageCategoryandDevRelNeedenums. - Defines the
ClassificationRouterclass. - Uses
ChatGoogleGenerativeAIand a prompt template for LLM-based classification. - Includes
_quick_classifyfor pattern-based classification of common intents (web search, FAQ, bug report). - Implements
classify_messageto perform classification and_parse_llm_responseto handle LLM output.
- backend/app/core/config.py
- New file created.
- Defines the
Settingsclass usingpydantic-settingsto load configuration from environment variables (.env). - Includes settings for API keys (Gemini, Tavily, GitHub, Discord), agent models, timeout, and retries.
- backend/app/core/orchestration/agent_coordinator.py
- New file created.
- Defines the
AgentCoordinatorclass. - Initializes agents (
DevRelAgent). - Registers handlers with the
AsyncQueueManager. - Implements
_handle_devrel_requestto createAgentState, run theDevRelAgent, and send the final response back to the platform.
- backend/app/core/orchestration/queue_manager.py
- New file created.
- Defines
QueuePriorityenum. - Defines the
AsyncQueueManagerclass usingasyncio.Queue. - Implements methods for starting/stopping workers (
start,stop), enqueuing messages with priority and delay (enqueue), and registering handlers (register_handler). - Includes worker logic (
_worker) and priority-based item retrieval (_get_next_item).
- backend/bots/discord/discordBot.py
- New file created.
- Defines the
DiscordBotclass inheriting fromcommands.Bot. - Integrates with
AsyncQueueManagerandClassificationRouter. - Handles incoming messages (
on_message), classifies them, and enqueues DevRel requests. - Manages user-specific threads (
_get_or_create_thread). - Handles agent responses received from the queue (
_handle_agent_response). - Adds
!resetand!help_devrelcommands.
- backend/main.py
- Replaced previous FastAPI/event bus setup with a new
DevRAIApplicationclass (lines 17-63). - The
DevRAIApplicationclass initializes and manages theQueueManager,AgentCoordinator, andDiscordBot. - Added
startandstopmethods to theDevRAIApplicationfor application lifecycle management (lines 26-62). - Implemented signal handlers for graceful shutdown (lines 71-77).
- Updated the main execution block (
if __name__ == "__main__":) to run theDevRAIApplicationusingasyncio.runand check for required environment variables (lines 88-98). - Removed imports and code related to the old FastAPI app, EventBus, and HandlerRegistry (lines 7-14, 16-40).
- Replaced previous FastAPI/event bus setup with a new
- pyproject.toml
- Removed
langchain-groqandgroqdependencies (lines 14-15). - Added
langgraph,langchain-tavily,tavily-python,langchain[google-genai], andpydantic-settingsdependencies (lines 19-23).
- Removed
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Code Review
This PR introduces a substantial and well-architected LangGraph-based agent system. The DevRel agent, its tools, the orchestration layer, and the Discord bot integration are thoughtfully designed. The code is generally clean, uses modern Python features effectively, and includes good logging and TODOs for future enhancements. Great job on this initial PoC and restructuring!
I've included several suggestions below, mostly aimed at improving long-term maintainability, configurability, and robustness. Addressing these will further solidify this excellent foundation.
Summary of Findings
- Duplicated Logic: The logic for retrieving
latest_messageis duplicated across multiple methods inDevRelAgent. - Local Imports: A local import is used in
DevRelAgent._classify_intentwhich might be better placed at the module level if not strictly necessary for specific reasons. - Configuration Hardcoding:
max_retriesinAgentStateand the LLM model name inClassificationRouterare hardcoded instead of being sourced fromsettings. - LLM Output Parsing: Parsing JSON from LLM output in
ClassificationRoutercould be made more robust. - Potential Memory Leaks:
active_sessionsinAgentCoordinatorandactive_threadsinDiscordBotcould grow indefinitely without a cleanup mechanism. - Platform Handling: Defaulting
platformto 'discord' inAgentCoordinator._send_response_to_platformmight mask upstream issues ifplatformis missing. - Queue Polling:
AsyncQueueManagerpolls queues usingget_nowait()instead of efficiently blocking withawait get(). - Priority Mapping: Low priority from
ClassificationRouteris not explicitly mapped toQueuePriority.LOWinDiscordBot. - Magic Numbers (Low Severity): Found magic numbers for content preview length in
DevRelAgent(300) and common words threshold inFAQTool(2). These were not commented on directly due to review settings. - Hardcoded Configuration (Low Severity): Number of queue workers in
main.pyis hardcoded (3). This was not commented on directly due to review settings. - Python Conventions (Low Severity):
main.pyusesexit(1)instead of the more conventionalsys.exit(1). This was not commented on directly due to review settings.
Merge Readiness
This pull request represents a significant and positive step forward. The foundational work for the LangGraph-based agent system is impressive.
However, given the number of medium-severity issues identified, particularly concerning maintainability, configuration, and potential resource management, I recommend addressing these points before merging. This will ensure the system is more robust, configurable, and easier to maintain as it evolves.
As an AI, I am not authorized to approve pull requests. Please ensure other team members review and approve these changes before merging.
| json_start = response.find('{') | ||
| json_end = response.rfind('}') + 1 | ||
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||
| if json_start != -1 and json_end != -1: | ||
| json_str = response[json_start:json_end] | ||
| parsed = json.loads(json_str) | ||
| return parsed | ||
| else: | ||
| raise ValueError("No JSON found in response") |
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Parsing JSON from the LLM response using response.find('{') and response.rfind('}') can be brittle if the LLM includes any text outside the JSON object (e.g., preamble or postamble).
While this is a common approach, have you considered using Langchain's PydanticOutputParser or a similar structured output mechanism if available and compatible with the Gemini model being used? This could make the parsing more robust and directly yield a Pydantic model, potentially simplifying validation.
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Will migrate to pydantic parser.
Thanks !!!
|
Current Status of the workflow.
PR can be merged after coderabbit changes. |
|
Thanks for the update, @smokeyScraper! It's great to see the progress on implementing the classification head, web search tool, and the base structure with LangGraph. Acknowledging the need for contextual information and component restructuring is a good plan for future iterations. Let me know if you have any questions as you address the feedback from CodeRabbit or if you'd like another look at any specific parts of the code. |
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Actionable comments posted: 12
🧹 Nitpick comments (33)
backend/app/core/config.py (2)
14-17: Complete the database configuration implementation.The TODO comments indicate incomplete database configuration. This should be addressed before production deployment to ensure proper data persistence.
Would you like me to help implement the database configuration section with Supabase and Weaviate settings based on the project dependencies?
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 14-14: TODO: Add DB configuration
(W0511)
20-23: Consider making agent configuration more flexible.The hardcoded model names and timeout values may need adjustment based on deployment environment or user preferences.
Consider adding environment-specific defaults:
- devrel_agent_model: str = "gemini-2.0-flash" - github_agent_model: str = "gemini-2.0-flash" - agent_timeout: int = 30 - max_retries: int = 3 + devrel_agent_model: str = "gemini-2.0-flash" + github_agent_model: str = "gemini-2.0-flash" + agent_timeout: int = 30 + max_retries: int = 3 + + # Environment-specific overrides + is_production: bool = Falsebackend/app/core/orchestration/queue_manager.py (1)
97-115: Optimize priority queue processing.The current implementation uses multiple try-catch blocks which could be inefficient. Consider a more streamlined approach.
async def _get_next_item(self) -> Optional[Dict[str, Any]]: """Get the next item from queues (priority-based)""" - - # Try high priority first - try: - return self.queues[QueuePriority.HIGH].get_nowait() - except asyncio.QueueEmpty: - pass - - # Then medium priority - try: - return self.queues[QueuePriority.MEDIUM].get_nowait() - except asyncio.QueueEmpty: - pass - - # Finally low priority - try: - return self.queues[QueuePriority.LOW].get_nowait() - except asyncio.QueueEmpty: - pass - - return None + + for priority in [QueuePriority.HIGH, QueuePriority.MEDIUM, QueuePriority.LOW]: + try: + return self.queues[priority].get_nowait() + except asyncio.QueueEmpty: + continue + return Nonebackend/app/agents/__init__.py (1)
1-10: Clean and well-structured package initialization.The imports and exports are well-organized, providing a clean public API for the agents package. Consider adding a module docstring to describe the package purpose.
+""" +Agent package for Devr.AI - provides agent implementations and utilities. + +This package contains the core agent framework including: +- DevRelAgent: LangGraph-based developer relations agent +- BaseAgent: Foundation class for all agents +- AgentState: State management for agents +- ClassificationRouter: Message classification and routing +""" from .devrel.agent import DevRelAgent from .shared.base_agent import BaseAgent, AgentState from .shared.classification_router import ClassificationRouter🧰 Tools
🪛 Pylint (3.3.7)
[convention] 1-1: Missing module docstring
(C0114)
backend/app/agents/devrel/tools/search_tool.py (2)
1-6: Add module docstring for documentation.Please add a module-level docstring to describe the purpose and functionality of this module.
+""" +Web search integration module for DevRel agent. + +This module provides Tavily API integration for performing web searches +as part of the DevRel agent's capabilities. +""" import logging from typing import List, Dict, Any from tavily import TavilyClient from app.core.config import settings🧰 Tools
🪛 Pylint (3.3.7)
[convention] 1-1: Missing module docstring
(C0114)
[error] 3-3: Unable to import 'tavily'
(E0401)
[error] 4-4: Unable to import 'app.core.config'
(E0401)
11-12: Split long line for better readability.Line 12 exceeds the 100 character limit. Consider splitting it for better readability.
def __init__(self): - self.client = TavilyClient(api_key=settings.tavily_api_key) if settings.tavily_api_key else None + self.client = ( + TavilyClient(api_key=settings.tavily_api_key) + if settings.tavily_api_key + else None + )🧰 Tools
🪛 Pylint (3.3.7)
[convention] 12-12: Line too long (104/100)
(C0301)
backend/app/agents/devrel/tools/faq_tool.py (4)
1-5: Add module docstring for documentation.Please add a module-level docstring to describe this FAQ handling module.
+""" +FAQ handling module for DevRel agent. + +This module provides FAQ question-answer matching functionality +for common queries about the Devr.AI project. +""" import logging from typing import Optional🧰 Tools
🪛 Pylint (3.3.7)
[convention] 1-1: Missing module docstring
(C0114)
9-10: Track the TODO for database integration.The TODO comment indicates an important future enhancement. Consider creating an issue to track this work.
Would you like me to create a GitHub issue to track the database integration for FAQ responses?
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 9-9: TODO: Add FAQ responses from a database to refer organization's FAQ and Repo's FAQ
(W0511)
12-20: Split long FAQ response strings for better readability.Multiple lines exceed the 100 character limit. Consider using multi-line strings or a more structured format.
self.faq_responses = { - "what is devr.ai": "Devr.AI is an AI-powered Developer Relations assistant that helps open-source communities by automating engagement, issue tracking, and providing intelligent support to developers.", + "what is devr.ai": ( + "Devr.AI is an AI-powered Developer Relations assistant that helps " + "open-source communities by automating engagement, issue tracking, " + "and providing intelligent support to developers." + ), - "how do i contribute": "You can contribute by visiting our GitHub repository, checking open issues, and submitting pull requests. We welcome all types of contributions including code, documentation, and bug reports.", + "how do i contribute": ( + "You can contribute by visiting our GitHub repository, checking open issues, " + "and submitting pull requests. We welcome all types of contributions " + "including code, documentation, and bug reports." + ), # Apply similar formatting to other long strings... }🧰 Tools
🪛 Pylint (3.3.7)
[convention] 13-13: Line too long (214/100)
(C0301)
[convention] 14-14: Line too long (229/100)
(C0301)
[convention] 15-15: Line too long (231/100)
(C0301)
[convention] 16-16: Line too long (176/100)
(C0301)
[convention] 17-17: Line too long (202/100)
(C0301)
[convention] 18-18: Line too long (194/100)
(C0301)
[convention] 19-19: Line too long (210/100)
(C0301)
37-44: Consider improving the fuzzy matching algorithm.The current implementation requires at least 2 common words, which may miss relevant matches. Consider more sophisticated approaches for production use.
Options for improvement:
- Use string similarity metrics (e.g., Levenshtein distance)
- Implement TF-IDF or word embeddings for semantic matching
- Use a library like
fuzzywuzzyorrapidfuzzExample with rapidfuzz:
from rapidfuzz import fuzz def _is_similar_question(self, question: str, faq_key: str) -> bool: """Check if question is similar to FAQ key using fuzzy string matching""" similarity_score = fuzz.ratio(question, faq_key) return similarity_score > 70 # Threshold can be adjustedbackend/app/agents/shared/base_agent.py (2)
1-5: Add module docstring and fix import order.
- Add a module docstring
- Standard library imports should come before third-party imports
+""" +Base agent abstractions for LangGraph-based agents. + +This module provides the foundational classes for building agents +with state management and workflow capabilities. +""" +import logging from typing import Dict, Any, List, Optional + from pydantic import BaseModel, Field -import logging🧰 Tools
🪛 Pylint (3.3.7)
[convention] 1-1: Missing module docstring
(C0114)
[error] 2-2: Unable to import 'pydantic'
(E0401)
[convention] 3-3: standard import "logging" should be placed before third party import "pydantic.BaseModel"
(C0411)
44-45: Add docstring for Config class.Please add a docstring to explain the Config class settings.
class Config: + """Pydantic configuration for AgentState model.""" arbitrary_types_allowed = True🧰 Tools
🪛 Pylint (3.3.7)
[convention] 44-44: Missing class docstring
(C0115)
[refactor] 44-44: Too few public methods (0/2)
(R0903)
backend/main.py (2)
94-95: Use sys.exit() and lazy formatting for better practices.+import sys # ... other imports - logger.error(f"Missing required environment variables: {missing_vars}") - exit(1) + logger.error("Missing required environment variables: %s", missing_vars) + sys.exit(1)🧰 Tools
🪛 Pylint (3.3.7)
[warning] 94-94: Use lazy % formatting in logging functions
(W1203)
[refactor] 95-95: Consider using 'sys.exit' instead
(R1722)
46-46: Use lazy formatting in logging statements.Replace f-strings with lazy formatting for better performance.
- logger.error(f"Error starting application: {str(e)}") + logger.error("Error starting application: %s", str(e)) - logger.info(f"Received signal {signum}") + logger.info("Received signal %s", signum) - logger.error(f"Application error: {str(e)}") + logger.error("Application error: %s", str(e))Also applies to: 73-73, 84-84
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 46-46: Use lazy % formatting in logging functions
(W1203)
backend/app/core/orchestration/agent_coordinator.py (6)
12-29: Clean coordinator design with good extensibility!The
AgentCoordinatorclass provides a well-structured foundation for managing multiple agents. The handler registration pattern is clean and the TODO comments clearly indicate future expansion plans.Would you like me to create a GitHub issue to track the GitHub agent implementation mentioned in the TODO comments?
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 27-27: TODO: Register GitHub agent handler after implementation
(W0511)
[refactor] 12-12: Too few public methods (0/2)
(R0903)
50-50: Use lazy formatting in logging statements.- logger.info(f"Running DevRel agent for session {session_id}") + logger.info("Running DevRel agent for session %s", session_id) - logger.error(f"Error handling DevRel request: {str(e)}") + logger.error("Error handling DevRel request: %s", str(e))Also applies to: 58-58
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 50-50: Use lazy % formatting in logging functions
(W1203)
59-59: Break long line for better readability.- await self._send_error_response(message_data, "I'm having trouble processing your request. Please try again.") + await self._send_error_response( + message_data, + "I'm having trouble processing your request. Please try again." + )🧰 Tools
🪛 Pylint (3.3.7)
[convention] 59-59: Line too long (122/100)
(C0301)
105-105: Use lazy formatting in error logging.- logger.error(f"Error sending response to platform: {str(e)}") + logger.error("Error sending response to platform: %s", str(e))🧰 Tools
🪛 Pylint (3.3.7)
[warning] 105-105: Use lazy % formatting in logging functions
(W1203)
102-102: Consider adding retry logic for queue operations.Queue operations can fail temporarily. Adding retry logic would improve reliability.
Would you like me to implement a retry mechanism with exponential backoff for the queue enqueue operation?
1-1: Add module docstring to document the coordinator's purpose.Add a module docstring at the beginning of the file:
""" Agent Coordinator Module Manages the orchestration of various agents (DevRel, GitHub) and handles message routing between the queue system and agent implementations. """🧰 Tools
🪛 Pylint (3.3.7)
[convention] 1-1: Missing module docstring
(C0114)
backend/bots/discord/discordBot.py (3)
1-7: Fix import order by placing standard imports first.+import logging +from typing import Dict, Any, Optional import discord from discord.ext import commands -import logging -from typing import Dict, Any, Optional from app.core.orchestration.queue_manager import AsyncQueueManager, QueuePriority from app.agents.shared.classification_router import ClassificationRouter🧰 Tools
🪛 Pylint (3.3.7)
[convention] 1-1: Missing module docstring
(C0114)
[convention] 1-1: Module name "discordBot" doesn't conform to snake_case naming style
(C0103)
[error] 1-1: Unable to import 'discord'
(E0401)
[error] 2-2: Unable to import 'discord.ext'
(E0401)
[error] 5-5: Unable to import 'app.core.orchestration.queue_manager'
(E0401)
[error] 6-6: Unable to import 'app.agents.shared.classification_router'
(E0401)
[convention] 3-3: standard import "logging" should be placed before third party imports "discord", "discord.ext.commands"
(C0411)
[convention] 4-4: standard import "typing.Dict" should be placed before third party imports "discord", "discord.ext.commands"
(C0411)
38-38: Use lazy formatting in all logging statements.- logger.info(f'Enhanced Discord bot logged in as {self.user}') + logger.info('Enhanced Discord bot logged in as %s', self.user) - logger.info(f"Message classified as: {classification}") + logger.info("Message classified as: %s", classification) - logger.error(f"Error processing message: {str(e)}") + logger.error("Error processing message: %s", str(e)) - logger.error(f"Error handling DevRel message: {str(e)}") + logger.error("Error handling DevRel message: %s", str(e)) - logger.error(f"Failed to create thread: {str(e)}") + logger.error("Failed to create thread: %s", str(e)) - logger.error(f"Thread {thread_id} not found for agent response") + logger.error("Thread %s not found for agent response", thread_id) - logger.error(f"Error handling agent response: {str(e)}") + logger.error("Error handling agent response: %s", str(e))Also applies to: 63-63, 70-70, 114-114, 154-154, 178-178, 181-181
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 38-38: Use lazy % formatting in logging functions
(W1203)
183-235: Consider implementing role-based access control for commands.The TODO comment mentions role-based commands. For production use, certain commands should be restricted to specific roles or permissions.
Would you like me to implement role-based command restrictions? For example, the
!resetcommand could be limited to moderators or specific roles to prevent abuse.🧰 Tools
🪛 Pylint (3.3.7)
[convention] 190-190: Line too long (103/100)
(C0301)
backend/app/agents/shared/classification_router.py (3)
1-11: Add module docstring for better documentation.The module lacks a docstring explaining its purpose and usage. Consider adding one at the beginning of the file.
+""" +Message classification router for DevRel agent. + +This module provides enhanced message classification with DevRel assessment, +using pattern matching for quick classification and LLM fallback for complex cases. +""" import json🧰 Tools
🪛 Pylint (3.3.7)
[convention] 1-1: Missing module docstring
(C0114)
[error] 6-6: Unable to import 'langchain_google_genai'
(E0401)
[error] 7-7: Unable to import 'langchain_core.prompts'
(E0401)
[error] 8-8: Unable to import 'app.core.config'
(E0401)
12-28: Well-structured enums, consider adding docstrings.The enum definitions are comprehensive and well-organized. Consider adding class docstrings for better documentation.
class MessageCategory(str, Enum): + """Categories for classifying user messages in DevRel context.""" FAQ = "faq" TECHNICAL_SUPPORT = "technical_support" COMMUNITY_ENGAGEMENT = "community_engagement"class DevRelNeed(str, Enum): + """Levels of DevRel intervention needed for user messages.""" HIGH = "high" MEDIUM = "medium" LOW = "low"🧰 Tools
🪛 Pylint (3.3.7)
[convention] 12-12: Missing class docstring
(C0115)
[convention] 23-23: Missing class docstring
(C0115)
76-100: Good classification flow with appropriate error handling.The method correctly prioritizes quick pattern matching for performance before falling back to LLM classification. The broad exception handling ensures robustness.
Line 76 exceeds the 100-character limit. Consider reformatting:
- async def classify_message(self, message: str, context: Dict[str, Any] = None) -> Dict[str, Any]: + async def classify_message( + self, message: str, context: Dict[str, Any] = None + ) -> Dict[str, Any]:🧰 Tools
🪛 Pylint (3.3.7)
[convention] 76-76: Line too long (101/100)
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[warning] 97-97: Catching too general exception Exception
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[warning] 98-98: Use lazy % formatting in logging functions
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backend/app/agents/devrel/agent.py (7)
28-65: Excellent workflow design with clear state transitions.The graph building method creates a well-structured workflow with appropriate handlers and routing logic. The separation of concerns is clear and the flow is logical.
Line 56 exceeds the character limit. Consider reformatting:
- for node in ["handle_faq", "handle_web_search", "handle_technical_support", "handle_onboarding"]: + handler_nodes = [ + "handle_faq", "handle_web_search", + "handle_technical_support", "handle_onboarding" + ] + for node in handler_nodes: workflow.add_edge(node, "generate_response")🧰 Tools
🪛 Pylint (3.3.7)
[convention] 56-56: Line too long (105/100)
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93-109: Context gathering needs implementation as noted in TODO.The TODO comment indicates missing database integration for context gathering.
Would you like me to help implement the database context gathering or create an issue to track this task? The current implementation provides basic context but could be enhanced with:
- User interaction history
- Previous conversation context
- User preferences and profile data
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 97-97: TODO: Add context gathering from databases
(W0511)
[warning] 95-95: Use lazy % formatting in logging functions
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158-183: Basic but functional technical support and onboarding handlers.These handlers provide static responses but maintain proper state management. Consider enhancing them in the future with more dynamic content based on user context.
Consider making these handlers more dynamic:
# Example enhancement for technical support state.task_result = { "type": "technical_support", "action": "provide_guidance", "requires_human_review": state.context.get("priority") == "high", "suggested_resources": self._get_relevant_docs(state) # Future enhancement }🧰 Tools
🪛 Pylint (3.3.7)
[warning] 160-160: Use lazy % formatting in logging functions
(W1203)
[warning] 173-173: Use lazy % formatting in logging functions
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184-204: Effective response generation with proper type handling.The method correctly routes to different response generators based on task type, with good fallback to LLM generation.
Line 191 exceeds the character limit:
- state.final_response = task_result.get("response", "I don't have a specific answer for that question.") + state.final_response = task_result.get( + "response", + "I don't have a specific answer for that question." + )🧰 Tools
🪛 Pylint (3.3.7)
[convention] 191-191: Line too long (115/100)
(C0301)
[warning] 186-186: Use lazy % formatting in logging functions
(W1203)
238-264: Excellent search response formatting.The search response formatter creates user-friendly output with proper truncation and markdown formatting. The top-3 result limit and content preview are good UX choices.
Lines 244 and 261 exceed the character limit. Consider extracting the no-results message to a constant:
+NO_RESULTS_MSG = ( + "I searched for '{query}' but couldn't find any relevant information. " + "Could you try rephrasing your question?" +) + if not results: - return f"I searched for '{query}' but couldn't find any relevant information. Could you try rephrasing your question?" + return NO_RESULTS_MSG.format(query=query)🧰 Tools
🪛 Pylint (3.3.7)
[convention] 244-244: Line too long (130/100)
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[convention] 261-261: Line too long (101/100)
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222-237: Basic search query extraction could be enhanced.The current implementation is functional but could miss some search intents. Consider using the LLM for more sophisticated query extraction.
For better query extraction, consider using the LLM:
async def _extract_search_query(self, message: str) -> str: """Extract search query from user message using LLM""" prompt = f"""Extract the search query from this message: "{message}" Return only the search query without any explanation.""" try: response = await self.llm.ainvoke([HumanMessage(content=prompt)]) return response.content.strip() except Exception: # Fallback to current simple extraction return self._simple_extract_query(message)
265-298: Good LLM response generation with proper error handling.The system prompt is well-crafted for a DevRel assistant, and the error handling ensures graceful degradation.
Fix formatting issues on lines 274, 282, and 297:
- system_prompt = """You are a helpful DevRel (Developer Relations) assistant for Devr.AI, an AI-powered developer relations platform. + system_prompt = """You are a helpful DevRel (Developer Relations) assistant for Devr.AI, an AI-powered developer relations platform. Your role is to: - Help developers with technical questions - Guide new users through onboarding - Provide information about the platform - Be friendly, helpful, and knowledgeable - Keep responses concise but informative. If you don't know something specific, it's okay to say so and offer to help find the information.""" + Keep responses concise but informative. If you don't know something specific, + it's okay to say so and offer to help find the information."""🧰 Tools
🪛 Pylint (3.3.7)
[convention] 274-274: Trailing whitespace
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[warning] 295-295: Catching too general exception Exception
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[warning] 296-296: Use lazy % formatting in logging functions
(W1203)
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
⛔ Files ignored due to path filters (1)
poetry.lockis excluded by!**/*.lock
📒 Files selected for processing (13)
backend/app/agents/__init__.py(1 hunks)backend/app/agents/devrel/agent.py(1 hunks)backend/app/agents/devrel/tools/faq_tool.py(1 hunks)backend/app/agents/devrel/tools/search_tool.py(1 hunks)backend/app/agents/shared/base_agent.py(1 hunks)backend/app/agents/shared/classification_router.py(1 hunks)backend/app/core/config.py(1 hunks)backend/app/core/orchestration/agent_coordinator.py(1 hunks)backend/app/core/orchestration/queue_manager.py(1 hunks)backend/bots/discord/discordBot.py(1 hunks)backend/bots/discord_bot/discordBot.py(0 hunks)backend/main.py(1 hunks)pyproject.toml(1 hunks)
💤 Files with no reviewable changes (1)
- backend/bots/discord_bot/discordBot.py
🧰 Additional context used
🧬 Code Graph Analysis (1)
backend/app/agents/shared/base_agent.py (1)
backend/app/agents/devrel/agent.py (1)
_build_graph(28-64)
🪛 Pylint (3.3.7)
backend/app/agents/__init__.py
[convention] 1-1: Missing module docstring
(C0114)
backend/app/core/config.py
[warning] 14-14: TODO: Add DB configuration
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[convention] 1-1: Missing module docstring
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[error] 2-2: Unable to import 'pydantic_settings'
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[error] 3-3: Unable to import 'dotenv'
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[convention] 7-7: Missing class docstring
(C0115)
[convention] 25-25: Missing class docstring
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[refactor] 25-25: Too few public methods (0/2)
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[refactor] 7-7: Too few public methods (0/2)
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backend/app/agents/devrel/tools/search_tool.py
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[convention] 1-1: Missing module docstring
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[error] 3-3: Unable to import 'tavily'
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[error] 4-4: Unable to import 'app.core.config'
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[warning] 39-39: Catching too general exception Exception
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[warning] 36-36: Use lazy % formatting in logging functions
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[warning] 40-40: Use lazy % formatting in logging functions
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[refactor] 8-8: Too few public methods (1/2)
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backend/app/agents/devrel/tools/faq_tool.py
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[warning] 9-9: TODO: Add FAQ responses from a database to refer organization's FAQ and Repo's FAQ
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[convention] 1-1: Missing module docstring
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[refactor] 6-6: Too few public methods (1/2)
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backend/bots/discord/discordBot.py
[convention] 102-102: Line too long (111/100)
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[warning] 47-47: TODO: Add support for commands
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[warning] 73-73: TODO: Add support for commands preferably role based commands
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[convention] 1-1: Missing module docstring
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[convention] 1-1: Module name "discordBot" doesn't conform to snake_case naming style
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[error] 1-1: Unable to import 'discord'
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[error] 2-2: Unable to import 'discord.ext'
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[error] 5-5: Unable to import 'app.core.orchestration.queue_manager'
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[error] 6-6: Unable to import 'app.agents.shared.classification_router'
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[warning] 38-38: Use lazy % formatting in logging functions
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[warning] 69-69: Catching too general exception Exception
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[warning] 63-63: Use lazy % formatting in logging functions
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[warning] 70-70: Use lazy % formatting in logging functions
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[warning] 113-113: Catching too general exception Exception
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[convention] 3-3: standard import "logging" should be placed before third party imports "discord", "discord.ext.commands"
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[convention] 4-4: standard import "typing.Dict" should be placed before third party imports "discord", "discord.ext.commands"
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backend/main.py
[error] 5-5: Unable to import 'app.core.config'
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[error] 6-6: Unable to import 'app.core.orchestration.queue_manager'
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[error] 7-7: Unable to import 'app.core.orchestration.agent_coordinator'
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[error] 8-8: Unable to import 'bots.discord.discordBot'
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[warning] 45-45: Catching too general exception Exception
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[warning] 46-46: Use lazy % formatting in logging functions
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[warning] 72-72: Unused argument 'frame'
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[warning] 83-83: Catching too general exception Exception
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[warning] 84-84: Use lazy % formatting in logging functions
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[warning] 94-94: Use lazy % formatting in logging functions
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[refactor] 95-95: Consider using 'sys.exit' instead
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backend/app/core/orchestration/queue_manager.py
[convention] 1-1: Missing module docstring
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[convention] 9-9: Missing class docstring
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[warning] 35-35: Use lazy % formatting in logging functions
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backend/app/agents/shared/base_agent.py
[convention] 1-1: Missing module docstring
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[error] 2-2: Unable to import 'pydantic'
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[convention] 44-44: Missing class docstring
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[refactor] 44-44: Too few public methods (0/2)
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[refactor] 7-7: Too few public methods (0/2)
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[warning] 66-66: Catching too general exception Exception
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[warning] 63-63: Use lazy % formatting in logging functions
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[warning] 67-67: Use lazy % formatting in logging functions
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[convention] 3-3: standard import "logging" should be placed before third party import "pydantic.BaseModel"
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backend/app/core/orchestration/agent_coordinator.py
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[warning] 5-5: TODO: Implement GitHub agent
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[warning] 27-27: TODO: Register GitHub agent handler after implementation
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[warning] 61-61: TODO: Implement GitHub agent
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[convention] 1-1: Missing module docstring
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[error] 4-4: Unable to import 'app.agents.devrel.agent'
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[error] 7-7: Unable to import 'app.agents.shared.base_agent'
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[error] 8-8: Unable to import 'app.core.orchestration.queue_manager'
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[warning] 57-57: Catching too general exception Exception
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[warning] 50-50: Use lazy % formatting in logging functions
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[warning] 58-58: Use lazy % formatting in logging functions
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backend/app/agents/shared/classification_router.py
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[convention] 1-1: Missing module docstring
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[error] 6-6: Unable to import 'langchain_google_genai'
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[error] 7-7: Unable to import 'langchain_core.prompts'
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[error] 8-8: Unable to import 'app.core.config'
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[convention] 12-12: Missing class docstring
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[convention] 23-23: Missing class docstring
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[warning] 97-97: Catching too general exception Exception
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[warning] 98-98: Use lazy % formatting in logging functions
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[warning] 175-175: Catching too general exception Exception
(W0718)
[refactor] 168-173: Unnecessary "else" after "return", remove the "else" and de-indent the code inside it
(R1705)
[warning] 176-176: Use lazy % formatting in logging functions
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[warning] 179-179: Unused argument 'message'
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[refactor] 29-29: Too few public methods (1/2)
(R0903)
backend/app/agents/devrel/agent.py
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[convention] 1-1: Missing module docstring
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[error] 3-3: Unable to import 'langgraph.graph'
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[error] 4-4: Unable to import 'langchain_core.messages'
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[error] 5-5: Unable to import 'langchain_google_genai'
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[error] 10-10: Unable to import 'app.core.config'
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[warning] 68-68: Use lazy % formatting in logging functions
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[convention] 78-78: Import outside toplevel (shared.classification_router.ClassificationRouter)
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[warning] 160-160: Use lazy % formatting in logging functions
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[warning] 173-173: Use lazy % formatting in logging functions
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[warning] 186-186: Use lazy % formatting in logging functions
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[warning] 295-295: Catching too general exception Exception
(W0718)
[warning] 296-296: Use lazy % formatting in logging functions
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[convention] 10-10: third party import "app.core.config.settings" should be placed before local imports "shared.base_agent.BaseAgent", "shared.classification_router.MessageCategory", "tools.search_tool.TavilySearchTool", "tools.faq_tool.FAQTool"
(C0411)
🔇 Additional comments (12)
backend/app/core/orchestration/queue_manager.py (1)
54-55: 🛠️ Refactor suggestionAvoid blocking the event loop with synchronous sleep in enqueue.
Using
await asyncio.sleep(delay)in the enqueue method can block other operations. Consider using a scheduled task instead.async def enqueue(self, message: Dict[str, Any], priority: QueuePriority = QueuePriority.MEDIUM, delay: float = 0): """Add a message to the queue""" - if delay > 0: - await asyncio.sleep(delay) - queue_item = { "id": message.get("id", f"msg_{datetime.now().timestamp()}"), "timestamp": datetime.now().isoformat(), "priority": priority, - "data": message + "data": message, + "scheduled_time": datetime.now().timestamp() + delay } await self.queues[priority].put(queue_item)Then modify
_process_itemto check the scheduled time before processing.Likely an incorrect or invalid review comment.
pyproject.toml (1)
19-23:Details
✅ Verification successful
Verify dependency compatibility and check for removed package usage.
The new dependencies support the LangGraph POC implementation. However, ensure the removed
langchain-groqandgroqpackages aren't still referenced in the codebase.
🏁 Script executed:
#!/bin/bash # Description: Check for any remaining references to removed groq packages echo "Checking for groq package references..." rg -i "groq" --type py echo "Checking for langchain-groq imports..." rg "langchain.groq\|langchain_groq" --type py echo "Verifying new dependency usage..." rg "langgraph\|tavily\|google.*genai\|pydantic.settings" --type py -A 2Length of output: 397
🏁 Script executed:
#!/bin/bash # Refined search for new dependency usage and confirm removed ones echo "Verifying no remaining groq references..." rg -i "groq" --type py -A 2 || true echo "Verifying no remaining langchain-groq imports..." rg "langchain\.groq|langchain_groq" --type py -A 2 || true echo "Searching for langgraph references (case-insensitive)..." rg -i "langgraph" --type py -A 2 || true echo "Searching for tavily references (case-insensitive)..." rg -i "tavily" --type py -A 2 || true echo "Searching for genai references (case-insensitive)..." rg -i "genai" --type py -A 2 || true echo "Searching for pydantic_settings usage (case-insensitive)..." rg -i "pydantic_settings" --type py -A 2 || trueLength of output: 6055
All removed dependencies are cleaned up and new ones are in use
- No imports of
groqorlangchain-groqremain.langgraphis used inbackend/app/agents/shared/base_agent.pyand related agent modules.TavilyClientappears inbackend/app/agents/devrel/tools/search_tool.py.ChatGoogleGenerativeAI(fromlangchain_google_genai) is imported inbackend/app/agents/shared/classification_router.pyandbackend/app/agents/devrel/agent.py.pydantic_settings.BaseSettingsis imported inbackend/app/core/config.py.Dependencies are correctly integrated and compatible—no further action needed.
backend/app/agents/shared/base_agent.py (2)
7-43: Well-structured state model!The
AgentStateclass is comprehensive and well-organized with:
- Clear categorization of fields
- Proper use of Pydantic's Field with default_factory for mutable defaults
- Good coverage of agent state requirements
🧰 Tools
🪛 Pylint (3.3.7)
[refactor] 7-7: Too few public methods (0/2)
(R0903)
47-58: Good use of template method pattern!The abstract base class properly enforces subclasses to implement
_build_graphwhile handling common initialization logic.backend/main.py (1)
17-63: Well-structured application lifecycle management!The
DevRAIApplicationclass provides clean encapsulation of core components with proper startup and shutdown sequences. The error handling ensures graceful shutdown on failures.🧰 Tools
🪛 Pylint (3.3.7)
[warning] 45-45: Catching too general exception Exception
(W0718)
[warning] 46-46: Use lazy % formatting in logging functions
(W1203)
backend/bots/discord/discordBot.py (3)
10-35: Well-configured Discord bot initialization!The intent configuration is appropriate for the bot's needs, and the queue handler registration pattern is clean.
116-157: Excellent thread management implementation!The thread creation logic is robust with proper error handling, user-friendly welcome messages, and smart fallback to the original channel. The 60-minute auto-archive duration is reasonable.
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 153-153: Catching too general exception Exception
(W0718)
[warning] 154-154: Use lazy % formatting in logging functions
(W1203)
41-75:⚠️ Potential issueRemove duplicate command processing to prevent double execution.
The
process_commandsis called twice - once at line 49-50 and again at line 74. This could cause commands to be executed twice.# Skip if message is a command (starts with !) - # TODO: Add support for commands if message.content.startswith('!'): await self.process_commands(message) return try: # Classify message locally first classification = await self.classifier.classify_message( message.content, { "channel_id": str(message.channel.id), "user_id": str(message.author.id), "guild_id": str(message.guild.id) if message.guild else None } ) logger.info(f"Message classified as: {classification}") # Only process if DevRel intervention is needed if classification.get("needs_devrel", False): await self._handle_devrel_message(message, classification) except Exception as e: logger.error(f"Error processing message: {str(e)}") - - # Process commands - # TODO: Add support for commands preferably role based commands - await self.process_commands(message)Likely an incorrect or invalid review comment.
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 47-47: TODO: Add support for commands
(W0511)
[warning] 73-73: TODO: Add support for commands preferably role based commands
(W0511)
[warning] 69-69: Catching too general exception Exception
(W0718)
[warning] 63-63: Use lazy % formatting in logging functions
(W1203)
[warning] 70-70: Use lazy % formatting in logging functions
(W1203)
backend/app/agents/shared/classification_router.py (2)
29-75: Well-designed initialization and comprehensive prompt template.The class initialization with optional LLM injection supports testability, and the low temperature (0.1) is appropriate for consistent classification. The prompt template is thorough with clear guidelines and structured JSON output format.
🧰 Tools
🪛 Pylint (3.3.7)
[refactor] 29-29: Too few public methods (1/2)
(R0903)
101-160: Effective pattern-based classification for common cases.The quick classification method efficiently handles obvious patterns for web search, FAQ, and bug reports. The regex patterns are well-chosen and the confidence scores are appropriate.
backend/app/agents/devrel/agent.py (2)
14-27: Well-structured agent initialization.The agent initialization properly sets up the LLM with appropriate temperature for conversational responses and initializes required tools. The inheritance from BaseAgent follows good OOP practices.
110-157: Well-implemented FAQ and web search handlers.Both handlers properly extract messages, use their respective tools, and update state with appropriate task results. The error handling and state management are correct.
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 112-112: Use lazy % formatting in logging functions
(W1203)
[warning] 133-133: Use lazy % formatting in logging functions
(W1203)
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Actionable comments posted: 2
🔭 Outside diff range comments (2)
backend/app/agents/devrel/tools/search_tool.py (1)
45-51: 💡 Verification agent🧩 Analysis chain
Verify if Tavily library has specific exceptions to catch.
Good specific exception handling for
AttributeErrorand network errors. However, consider catching Tavily-specific exceptions if the library provides them.Please verify if the Tavily library defines specific exception types that should be caught instead of relying only on generic network exceptions.
🌐 Web query:
Does the Tavily Python client library define specific exception types like TavilyError or TavilyAPIError?💡 Result:
Yes, the Tavily Python client library defines specific exception types to help with error handling. The library includes several specialized exception classes introduced in version 0.3.5 (released on July 17, 2024)[7][4].
Tavily Exception Types
The Tavily Python SDK implements the following exception classes for better error handling:
MissingAPIKeyError: This exception is raised when no API key is provided during client initialization. It occurs when you try to create a TavilyClient instance without specifying an API key and the key isn't available in environment variables[4].
InvalidAPIKeyError: This exception is raised when the API key provided is invalid. This helps you quickly identify authentication issues rather than receiving generic HTTP errors[4].
UsageLimitExceededError: This exception is triggered when your API usage exceeds limits - whether that's rate limits, your plan's monthly quota, or a preset monthly limit for your key[4].
These specialized exceptions replaced the previous behavior where a generic
HTTPErrorwould be thrown, making it much easier to catch and handle specific error conditions[7]. Here's how you can import and use these exception classes:from tavily import TavilyClient, MissingAPIKeyError, InvalidAPIKeyError, UsageLimitExceededError try: tavily_client = TavilyClient(api_key="your-api-key") response = tavily_client.search("Who is Leo Messi?") except MissingAPIKeyError: print("API key is missing. Please provide a valid API key.") except InvalidAPIKeyError: print("Invalid API key provided. Please check your API key.") except UsageLimitExceededError: print("Usage limit exceeded. Please check your plan's usage limits or consider upgrading.")This improvement to error handling was part of the 0.3.5 update, which also introduced the ability to automatically load API keys from environment variables named
TAVILY_API_KEY[7].Citations:
- 1: https://docs.tavily.com/sdk/python/reference
- 2: https://github.com/tavily-ai/tavily-python
- 3: https://community.tavily.com/t/tavily-api-authorization-error/207
- 4: https://pypi.org/project/tavily-python/0.3.5/
- 5: tavily-ai/tavily-python#15
- 6: https://blog.tavily.com/getting-started-with-the-tavily-search-api/
- 7: https://community.tavily.com/t/python-package-version-0-3-5/38
- 8: https://community.tavily.com/t/issues-with-tavily-extract/161
- 9: https://community.tavily.com/t/error-handling-in-tavily-search-api/105
- 10: https://pypi.org/project/tavily-python/0.5.3/
Add Tavily-specific exception handling alongside existing catches
The Tavily SDK (v0.3.5+) provides specialized exception classes—
MissingAPIKeyError,InvalidAPIKeyError, andUsageLimitExceededError—which you should catch to give more precise feedback instead of only relying on generic errors.• File:
backend/app/agents/devrel/tools/search_tool.py
• Lines: ~45–51Suggested diff:
from tavily import TavilyClient +from tavily import MissingAPIKeyError, InvalidAPIKeyError, UsageLimitExceededError … try: # existing client initialization & search logic except MissingAPIKeyError as e: - logger.error("Tavily client not initialized: %s", str(e)) + logger.error("Tavily client initialization failed – missing API key: %s", e) return [] except InvalidAPIKeyError as e: - logger.error("Tavily client not initialized: %s", str(e)) + logger.error("Tavily client initialization failed – invalid API key: %s", e) return [] except UsageLimitExceededError as e: - logger.error("Network error during search: %s", str(e)) + logger.error("Tavily usage limit exceeded: %s", e) return [] except (ConnectionError, TimeoutError) as e: logger.error("Network error during search: %s", e) return []This ensures you handle authorization and quota issues explicitly, improving observability and guidance for remedial action.
backend/app/agents/shared/base_agent.py (1)
75-79: 🛠️ Refactor suggestionAdd error handling to stream_run method.
The
stream_runmethod lacks error handling present in therunmethod. Consider wrapping in try-except to handle potential failures gracefully.async def stream_run(self, initial_state: AgentState): """Stream the agent execution for real-time updates""" - async for step in self.graph.astream(initial_state.model_dump()): - yield step + try: + async for step in self.graph.astream(initial_state.model_dump()): + yield step + except Exception as e: + logger.error("Error in %s stream: %s", self.agent_name, str(e)) + yield {"error": str(e)}
♻️ Duplicate comments (9)
backend/app/core/config.py (1)
6-12: Proper use of pydantic_settings for environment variables.The implementation correctly leverages pydantic's automatic environment variable loading without redundant
os.getenv()calls, addressing the previous review comment.🧰 Tools
🪛 Pylint (3.3.7)
[convention] 6-6: Missing class docstring
(C0115)
[refactor] 6-6: Too few public methods (0/2)
(R0903)
backend/app/agents/devrel/tools/search_tool.py (1)
15-44: Excellent async implementation addressing previous concerns.The search method correctly:
- Uses
asyncio.to_threadfor the synchronous client call- Implements lazy logging
- Handles missing API key gracefully
backend/app/agents/shared/base_agent.py (2)
7-46: Consider removing hardcoded max_retries default.The
max_retriesfield has a hardcoded default of 3, whilesettings.max_retriesis also defined. For consistency and centralized configuration, consider removing the default here and setting it during instantiation from settings.- max_retries: int = Field(default=3) + max_retries: int # Set from settings during instantiation🧰 Tools
🪛 Pylint (3.3.7)
[convention] 44-44: Missing class docstring
(C0115)
[refactor] 44-44: Too few public methods (0/2)
(R0903)
[refactor] 7-7: Too few public methods (0/2)
(R0903)
60-74: Excellent error handling with specific exceptions and lazy logging.The implementation properly addresses previous review comments:
- Uses lazy % formatting in logging
- Catches specific
AttributeErrorfor initialization issues- Maintains generic exception handler as appropriate fallback
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 70-70: Catching too general exception Exception
(W0718)
backend/app/core/orchestration/queue_manager.py (1)
97-118: 🛠️ Refactor suggestionRefactor to eliminate busy-waiting in queue processing.
The current implementation using
get_nowait()creates an inefficient polling loop. Consider usingawaitwithasyncio.waitto block until items are available.Here's an improved implementation that eliminates busy-waiting:
- async def _get_next_item(self) -> Optional[Dict[str, Any]]: - """Get the next item from queues (priority-based)""" - - # Try high priority first - try: - return self.queues[QueuePriority.HIGH].get_nowait() - except asyncio.QueueEmpty: - pass - - # Then medium priority - try: - return self.queues[QueuePriority.MEDIUM].get_nowait() - except asyncio.QueueEmpty: - pass - - # Finally low priority - try: - return self.queues[QueuePriority.LOW].get_nowait() - except asyncio.QueueEmpty: - pass - - return None + async def _get_next_item(self) -> Optional[Dict[str, Any]]: + """Get the next item from queues (priority-based)""" + # Create tasks for all queues + tasks = [ + asyncio.create_task(self.queues[QueuePriority.HIGH].get()), + asyncio.create_task(self.queues[QueuePriority.MEDIUM].get()), + asyncio.create_task(self.queues[QueuePriority.LOW].get()) + ] + + # Wait for the first item from any queue + done, pending = await asyncio.wait(tasks, return_when=asyncio.FIRST_COMPLETED) + + # Cancel pending tasks + for task in pending: + task.cancel() + + # Return the highest priority item + for priority, task in zip([QueuePriority.HIGH, QueuePriority.MEDIUM, QueuePriority.LOW], tasks): + if task in done: + try: + return await task + except asyncio.CancelledError: + pass + + return NoneAlso update the worker loop to remove the sleep:
- if item: - await self._process_item(item, worker_name) - else: - # No items available, wait a bit - await asyncio.sleep(0.1) + if item: + await self._process_item(item, worker_name)backend/app/agents/shared/classification_router.py (2)
161-176: Address remaining JSON parsing and code structure issues from previous reviews.Several issues from past reviews remain unaddressed:
- The unnecessary
elseblock structure still exists (lines 168-172)- General exception catching without specific handling
- Non-lazy logging format
Apply this fix to improve the code structure and error handling:
def _parse_llm_response(self, response: str, original_message: str) -> Dict[str, Any]: """Parse LLM response""" try: # Extract JSON from response json_start = response.find('{') json_end = response.rfind('}') + 1 if json_start != -1 and json_end != -1: json_str = response[json_start:json_end] parsed = json.loads(json_str) return parsed - else: - raise ValueError("No JSON found in response") + + raise ValueError("No JSON found in response") - except Exception as e: - logger.error(f"Error parsing LLM response: {str(e)}") + except (json.JSONDecodeError, ValueError) as e: + logger.error("Error parsing LLM response: %s", str(e)) return self._fallback_classification(original_message)🧰 Tools
🪛 Pylint (3.3.7)
[warning] 174-174: Catching too general exception Exception
(W0718)
[warning] 175-175: Use lazy % formatting in logging functions
(W1203)
178-188:⚠️ Potential issueFix f-string formatting bug in fallback classification.
The reasoning string is not properly formatted as an f-string, so the message preview won't be included.
def _fallback_classification(self, original_message: str) -> Dict[str, Any]: """Fallback classification when other methods fail""" return { "category": MessageCategory.TECHNICAL_SUPPORT, "needs_devrel": True, "devrel_need_level": DevRelNeed.LOW, "suggested_agent": "devrel", "priority": "low", "confidence": 0.5, - "reasoning": "Fallback classification for message: {original_message[:50]}..." + "reasoning": f"Fallback classification for message: {original_message[:50]}..." }🧰 Tools
🪛 Pylint (3.3.7)
[warning] 178-178: Unused argument 'original_message'
(W0613)
backend/app/agents/devrel/agent.py (2)
1-12: Add module docstring and fix import ordering.The module still lacks a docstring and has import ordering issues from previous reviews.
+""" +DevRel agent implementation using LangGraph. + +This module implements the core DevRel agent with FAQ handling, +web search capabilities, and technical support workflows. +""" import logging from typing import Dict, Any + from langgraph.graph import StateGraph, END from langchain_core.messages import HumanMessage from langchain_google_genai import ChatGoogleGenerativeAI +from app.core.config import settings + from ..shared.base_agent import BaseAgent, AgentState from ..shared.classification_router import MessageCategory, ClassificationRouter from .tools.search_tool import TavilySearchTool from .tools.faq_tool import FAQTool -from app.core.config import settings🧰 Tools
🪛 Pylint (3.3.7)
[convention] 1-1: Missing module docstring
(C0114)
[error] 3-3: Unable to import 'langgraph.graph'
(E0401)
[error] 4-4: Unable to import 'langchain_core.messages'
(E0401)
[error] 5-5: Unable to import 'langchain_google_genai'
(E0401)
[error] 10-10: Unable to import 'app.core.config'
(E0401)
[convention] 10-10: third party import "app.core.config.settings" should be placed before local imports "shared.base_agent.BaseAgent", "shared.classification_router.MessageCategory", "tools.search_tool.TavilySearchTool", "tools.faq_tool.FAQTool"
(C0411)
70-75: 🛠️ Refactor suggestionExtract repeated message retrieval logic into a helper method.
The logic to retrieve
latest_messagefrom state is repeated across multiple methods, violating DRY principle.Add this helper method to the class:
+ def _get_latest_message(self, state: AgentState) -> str: + """Get the latest message from state""" + if state.messages: + return state.messages[-1].get("content", "") + elif state.context.get("original_message"): + return state.context["original_message"] + return ""Then update the methods to use it:
async def _classify_intent(self, state: AgentState) -> AgentState: """Classify the user's intent and needs""" logger.info("Classifying intent for session %s", state.session_id) - # Get the latest message - latest_message = "" - if state.messages: - latest_message = state.messages[-1].get("content", "") - elif state.context.get("original_message"): - latest_message = state.context["original_message"] + latest_message = self._get_latest_message(state)Apply similar changes to
_handle_faq,_handle_web_search, and_create_llm_response.Also applies to: 113-117, 134-138, 267-271
🧹 Nitpick comments (12)
backend/app/core/config.py (1)
13-17: Track TODO items for database configuration.The TODO comment indicates pending database configuration for Supabase and Weaviate.
Would you like me to create GitHub issues to track the database configuration tasks for Supabase and Weaviate?
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 13-13: TODO: Add DB configuration
(W0511)
backend/app/agents/shared/base_agent.py (1)
1-6: Fix import order according to PEP 8.Standard library imports should come before third-party imports.
from typing import Dict, Any, List, Optional -from pydantic import BaseModel, Field import logging +from pydantic import BaseModel, Field🧰 Tools
🪛 Pylint (3.3.7)
[convention] 1-1: Missing module docstring
(C0114)
[error] 2-2: Unable to import 'pydantic'
(E0401)
[convention] 3-3: standard import "logging" should be placed before third party import "pydantic.BaseModel"
(C0411)
backend/app/core/orchestration/queue_manager.py (3)
93-95: Add traceback logging for unexpected exceptions.While the specific exception handling for connection errors is good, consider adding traceback information for unexpected exceptions to aid debugging.
except Exception as e: - logger.error(f"Unexpected error in worker {worker_name}: {str(e)}") + logger.error(f"Unexpected error in worker {worker_name}: {str(e)}", exc_info=True) await asyncio.sleep(1) # Brief pause on error🧰 Tools
🪛 Pylint (3.3.7)
[warning] 93-93: Catching too general exception Exception
(W0718)
[warning] 94-94: Use lazy % formatting in logging functions
(W1203)
134-135: Enhance error logging with traceback information.Add exception traceback to help diagnose processing failures.
except Exception as e: - logger.error(f"Error processing item {item['id']}: {str(e)}") + logger.error(f"Error processing item {item['id']} of type '{message_type}': {str(e)}", exc_info=True)🧰 Tools
🪛 Pylint (3.3.7)
[warning] 134-134: Catching too general exception Exception
(W0718)
[warning] 135-135: Use lazy % formatting in logging functions
(W1203)
54-55: Consider non-blocking delay implementation.The current delay implementation blocks the caller. For better scalability, consider scheduling the enqueue operation without blocking.
- if delay > 0: - await asyncio.sleep(delay) + if delay > 0: + # Schedule the enqueue operation without blocking the caller + asyncio.create_task(self._delayed_enqueue(message, priority, delay)) + returnAdd this helper method:
async def _delayed_enqueue(self, message: Dict[str, Any], priority: QueuePriority, delay: float): """Helper to enqueue a message after a delay""" await asyncio.sleep(delay) await self.enqueue(message, priority, 0) # Call with delay=0 to avoid recursionbackend/bots/discord/discord_bot.py (2)
1-6: Fix import ordering according to Python conventions.Standard library imports should come before third-party imports.
-import discord -from discord.ext import commands import logging from typing import Dict, Any, Optional + +import discord +from discord.ext import commands + from app.core.orchestration.queue_manager import AsyncQueueManager, QueuePriority from app.agents.shared.classification_router import ClassificationRouter🧰 Tools
🪛 Pylint (3.3.7)
[convention] 1-1: Missing module docstring
(C0114)
[error] 1-1: Unable to import 'discord'
(E0401)
[error] 2-2: Unable to import 'discord.ext'
(E0401)
[error] 5-5: Unable to import 'app.core.orchestration.queue_manager'
(E0401)
[error] 6-6: Unable to import 'app.agents.shared.classification_router'
(E0401)
[convention] 3-3: standard import "logging" should be placed before third party imports "discord", "discord.ext.commands"
(C0411)
[convention] 4-4: standard import "typing.Dict" should be placed before third party imports "discord", "discord.ext.commands"
(C0411)
69-70: Consider notifying users when message processing fails.Silent failures provide poor user experience. Consider sending an error message to the user.
except Exception as e: - logger.error(f"Error processing message: {str(e)}") + logger.error(f"Error processing message: {str(e)}", exc_info=True) + try: + await message.channel.send("❌ Sorry, I encountered an error processing your message. Please try again.") + except: + pass # Ignore errors when sending error message🧰 Tools
🪛 Pylint (3.3.7)
[warning] 69-69: Catching too general exception Exception
(W0718)
[warning] 70-70: Use lazy % formatting in logging functions
(W1203)
backend/main.py (1)
96-97: Use sys.exit for clarity.+import sys + # ... other imports ... logger.error(f"Missing required environment variables: {missing_vars}") - exit(1) + sys.exit(1)🧰 Tools
🪛 Pylint (3.3.7)
[warning] 96-96: Use lazy % formatting in logging functions
(W1203)
[refactor] 97-97: Consider using 'sys.exit' instead
(R1722)
backend/app/agents/shared/classification_router.py (1)
76-99: Add input validation and improve error logging.Consider adding input validation for the message parameter and using lazy logging format.
async def classify_message(self, message: str, context: Dict[str, Any] = None) -> Dict[str, Any]: """Classify a message and determine if DevRel intervention is needed""" + if not message or not message.strip(): + return self._fallback_classification(message) + try: # Quick pattern matching for obvious cases quick_result = self._quick_classify(message) if quick_result: return quick_result # LLM-based classification for complex cases context_str = str(context) if context else "No additional context" response = await self.llm.ainvoke( self.classification_prompt.format_messages( message=message, context=context_str ) ) # Parse LLM response return self._parse_llm_response(response.content, message) except Exception as e: - logger.error(f"Classification error: {str(e)}") + logger.error("Classification error: %s", str(e)) return self._fallback_classification(message)🧰 Tools
🪛 Pylint (3.3.7)
[convention] 76-76: Line too long (101/100)
(C0301)
[warning] 97-97: Catching too general exception Exception
(W0718)
[warning] 98-98: Use lazy % formatting in logging functions
(W1203)
backend/app/agents/devrel/agent.py (3)
68-68: Use lazy logging format for better performance.Multiple logging statements use f-string formatting instead of lazy % formatting.
- logger.info(f"Classifying intent for session {state.session_id}") + logger.info("Classifying intent for session %s", state.session_id)Apply similar changes to all logging statements in the file.
Also applies to: 94-94, 111-111, 132-132, 159-159, 172-172, 185-185
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 68-68: Use lazy % formatting in logging functions
(W1203)
96-98: Address TODO comment for context gathering enhancement.The TODO indicates missing database context gathering functionality.
The current context gathering is minimal. For production readiness, consider implementing:
- User history retrieval
- Previous conversation context
- User preferences and settings
- Platform-specific metadata
Would you like me to help design the database schema and implementation for enhanced context gathering?
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 96-96: TODO: Add context gathering from databases
(W0511)
237-262: Improve search response formatting and error handling.The search response formatting is well-implemented but could benefit from additional error handling and formatting improvements.
async def _create_search_response(self, task_result: Dict[str, Any]) -> str: """Create response from search results""" query = task_result.get("query", "") results = task_result.get("results", []) if not results: return f"I searched for '{query}' but couldn't find any relevant information. Could you try rephrasing your question?" response = f"I found some information about '{query}':\n\n" for i, result in enumerate(results[:3], 1): # Show top 3 results title = result.get("title", "Unknown Title") content = result.get("content", "") url = result.get("url", "") + if not title and not content: + continue + response += f"**{i}. {title}**\n" if content: # Truncate content to keep response manageable content_preview = content[:300] + "..." if len(content) > 300 else content response += f"{content_preview}\n" if url: response += f"🔗 [Read more]({url})\n\n" response += "Is there anything specific from these results you'd like me to explain further?" return response🧰 Tools
🪛 Pylint (3.3.7)
[convention] 243-243: Line too long (130/100)
(C0301)
[convention] 260-260: Line too long (101/100)
(C0301)
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (8)
backend/app/agents/devrel/agent.py(1 hunks)backend/app/agents/devrel/tools/search_tool.py(1 hunks)backend/app/agents/shared/base_agent.py(1 hunks)backend/app/agents/shared/classification_router.py(1 hunks)backend/app/core/config.py(1 hunks)backend/app/core/orchestration/queue_manager.py(1 hunks)backend/bots/discord/discord_bot.py(1 hunks)backend/main.py(1 hunks)
🧰 Additional context used
🧬 Code Graph Analysis (2)
backend/app/core/orchestration/queue_manager.py (1)
backend/main.py (2)
start(26-47)stop(49-62)
backend/main.py (4)
backend/app/core/orchestration/queue_manager.py (3)
AsyncQueueManager(14-135)start(27-35)stop(37-46)backend/app/core/orchestration/agent_coordinator.py (1)
AgentCoordinator(12-109)backend/bots/discord/discord_bot.py (1)
DiscordBot(10-239)backend/app/agents/shared/base_agent.py (1)
run(60-73)
🪛 Pylint (3.3.7)
backend/app/core/config.py
[warning] 13-13: TODO: Add DB configuration
(W0511)
[convention] 1-1: Missing module docstring
(C0114)
[error] 1-1: Unable to import 'pydantic_settings'
(E0401)
[error] 2-2: Unable to import 'dotenv'
(E0401)
[convention] 6-6: Missing class docstring
(C0115)
[convention] 25-25: Missing class docstring
(C0115)
[refactor] 25-25: Too few public methods (0/2)
(R0903)
[refactor] 6-6: Too few public methods (0/2)
(R0903)
backend/app/core/orchestration/queue_manager.py
[convention] 1-1: Missing module docstring
(C0114)
[convention] 9-9: Missing class docstring
(C0115)
[warning] 35-35: Use lazy % formatting in logging functions
(W1203)
[warning] 65-65: Use lazy % formatting in logging functions
(W1203)
[warning] 70-70: Use lazy % formatting in logging functions
(W1203)
[warning] 74-74: Use lazy % formatting in logging functions
(W1203)
[warning] 93-93: Catching too general exception Exception
(W0718)
[warning] 88-88: Use lazy % formatting in logging functions
(W1203)
[warning] 91-91: Use lazy % formatting in logging functions
(W1203)
[warning] 94-94: Use lazy % formatting in logging functions
(W1203)
[warning] 134-134: Catching too general exception Exception
(W0718)
[warning] 129-129: Use lazy % formatting in logging functions
(W1203)
[warning] 132-132: Use lazy % formatting in logging functions
(W1203)
[warning] 135-135: Use lazy % formatting in logging functions
(W1203)
backend/app/agents/shared/base_agent.py
[convention] 1-1: Missing module docstring
(C0114)
[error] 2-2: Unable to import 'pydantic'
(E0401)
[convention] 44-44: Missing class docstring
(C0115)
[refactor] 44-44: Too few public methods (0/2)
(R0903)
[refactor] 7-7: Too few public methods (0/2)
(R0903)
[warning] 70-70: Catching too general exception Exception
(W0718)
[convention] 3-3: standard import "logging" should be placed before third party import "pydantic.BaseModel"
(C0411)
backend/main.py
[error] 5-5: Unable to import 'app.core.config'
(E0401)
[error] 6-6: Unable to import 'app.core.orchestration.queue_manager'
(E0401)
[error] 7-7: Unable to import 'app.core.orchestration.agent_coordinator'
(E0401)
[error] 8-8: Unable to import 'bots.discord.discord_bot'
(E0401)
[warning] 45-45: Catching too general exception Exception
(W0718)
[warning] 46-46: Use lazy % formatting in logging functions
(W1203)
[warning] 75-75: Use lazy % formatting in logging functions
(W1203)
[warning] 85-85: Catching too general exception Exception
(W0718)
[warning] 86-86: Use lazy % formatting in logging functions
(W1203)
[warning] 96-96: Use lazy % formatting in logging functions
(W1203)
[refactor] 97-97: Consider using 'sys.exit' instead
(R1722)
backend/app/agents/shared/classification_router.py
[convention] 76-76: Line too long (101/100)
(C0301)
[convention] 1-1: Missing module docstring
(C0114)
[error] 6-6: Unable to import 'langchain_google_genai'
(E0401)
[error] 7-7: Unable to import 'langchain_core.prompts'
(E0401)
[error] 8-8: Unable to import 'app.core.config'
(E0401)
[convention] 12-12: Missing class docstring
(C0115)
[convention] 23-23: Missing class docstring
(C0115)
[warning] 97-97: Catching too general exception Exception
(W0718)
[warning] 98-98: Use lazy % formatting in logging functions
(W1203)
[warning] 174-174: Catching too general exception Exception
(W0718)
[warning] 175-175: Use lazy % formatting in logging functions
(W1203)
[warning] 178-178: Unused argument 'original_message'
(W0613)
[refactor] 29-29: Too few public methods (1/2)
(R0903)
backend/app/agents/devrel/agent.py
[convention] 56-56: Line too long (105/100)
(C0301)
[convention] 190-190: Line too long (115/100)
(C0301)
[convention] 243-243: Line too long (130/100)
(C0301)
[convention] 260-260: Line too long (101/100)
(C0301)
[convention] 273-273: Trailing whitespace
(C0303)
[convention] 273-273: Line too long (144/100)
(C0301)
[convention] 281-281: Line too long (152/100)
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[warning] 96-96: TODO: Add context gathering from databases
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[convention] 1-1: Missing module docstring
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[error] 3-3: Unable to import 'langgraph.graph'
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[error] 4-4: Unable to import 'langchain_core.messages'
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[error] 5-5: Unable to import 'langchain_google_genai'
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[error] 10-10: Unable to import 'app.core.config'
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[warning] 68-68: Use lazy % formatting in logging functions
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[warning] 294-294: Catching too general exception Exception
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[warning] 295-295: Use lazy % formatting in logging functions
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[convention] 10-10: third party import "app.core.config.settings" should be placed before local imports "shared.base_agent.BaseAgent", "shared.classification_router.MessageCategory", "tools.search_tool.TavilySearchTool", "tools.faq_tool.FAQTool"
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backend/bots/discord/discord_bot.py
[convention] 195-195: Line too long (103/100)
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[warning] 47-47: TODO: Add support for commands
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[warning] 73-73: TODO: Add support for commands preferably role based commands
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[convention] 1-1: Missing module docstring
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[error] 1-1: Unable to import 'discord'
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[error] 6-6: Unable to import 'app.agents.shared.classification_router'
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[warning] 183-183: Use lazy % formatting in logging functions
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[warning] 186-186: Use lazy % formatting in logging functions
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[convention] 3-3: standard import "logging" should be placed before third party imports "discord", "discord.ext.commands"
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[convention] 4-4: standard import "typing.Dict" should be placed before third party imports "discord", "discord.ext.commands"
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backend/app/agents/devrel/tools/search_tool.py
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[convention] 1-1: Missing module docstring
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[error] 4-4: Unable to import 'tavily'
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[error] 5-5: Unable to import 'app.core.config'
(E0401)
[refactor] 9-9: Too few public methods (1/2)
(R0903)
🔇 Additional comments (8)
backend/app/core/config.py (3)
1-5: Module setup looks good.The import structure and early loading of environment variables via
load_dotenv()is appropriate.🧰 Tools
🪛 Pylint (3.3.7)
[convention] 1-1: Missing module docstring
(C0114)
[error] 1-1: Unable to import 'pydantic_settings'
(E0401)
[error] 2-2: Unable to import 'dotenv'
(E0401)
18-24: Well-structured agent configuration.Good centralization of agent parameters. The
max_retriesvalue here addresses the concern raised in the base_agent.py review about hardcoded values.
25-29: Standard configuration pattern implemented correctly.The Config class and global settings instance follow pydantic_settings best practices.
🧰 Tools
🪛 Pylint (3.3.7)
[convention] 25-25: Missing class docstring
(C0115)
[refactor] 25-25: Too few public methods (0/2)
(R0903)
backend/app/agents/devrel/tools/search_tool.py (1)
1-14: Well-structured initialization with proper error handling.Good implementation with conditional client initialization to handle missing API keys gracefully.
🧰 Tools
🪛 Pylint (3.3.7)
[convention] 13-13: Line too long (104/100)
(C0301)
[convention] 1-1: Missing module docstring
(C0114)
[error] 4-4: Unable to import 'tavily'
(E0401)
[error] 5-5: Unable to import 'app.core.config'
(E0401)
[refactor] 9-9: Too few public methods (1/2)
(R0903)
backend/app/agents/shared/base_agent.py (1)
47-59: Well-designed abstract base class pattern.Good use of the template method pattern with
_build_graphas an abstract method.backend/main.py (1)
74-79: Signal handling implementation looks good!The implementation correctly uses asyncio's built-in signal handling as suggested in the previous review, ensuring proper async-aware shutdown.
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[warning] 75-75: Use lazy % formatting in logging functions
(W1203)
backend/app/agents/shared/classification_router.py (1)
32-38: LGTM! Model configuration issue has been resolved.The hardcoded model name issue from previous reviews has been properly addressed by using
settings.classification_agent_model.backend/app/agents/devrel/agent.py (1)
28-64: LGTM! Well-structured workflow graph implementation.The graph structure properly implements the DevRel agent workflow with clear routing logic and appropriate edge connections.
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🪛 Pylint (3.3.7)
[convention] 56-56: Line too long (105/100)
(C0301)
|
@chandansgowda, The PR is good to go. Can you please review and merge? |
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Actionable comments posted: 0
♻️ Duplicate comments (1)
backend/bots/discord/discord_bot.py (1)
27-27: Thread mappings are lost on bot restart.The active_threads dictionary is stored in memory, causing users to lose their thread associations when the bot restarts.
This issue was already identified in previous reviews. Consider implementing persistence using a database or file storage.
🧹 Nitpick comments (5)
backend/bots/discord/discord_bot.py (5)
1-7: Fix import order and add module docstring.The imports don't follow Python's recommended order (standard library, third-party, local imports), and the module is missing a docstring.
+"""Discord bot implementation with LangGraph agent integration.""" + +import logging +from typing import Dict, Any, Optional + import discord from discord.ext import commands -import logging -from typing import Dict, Any, Optional + from app.core.orchestration.queue_manager import AsyncQueueManager, QueuePriority from app.agents.shared.classification_router import ClassificationRouter🧰 Tools
🪛 Pylint (3.3.7)
[convention] 1-1: Missing module docstring
(C0114)
[error] 1-1: Unable to import 'discord'
(E0401)
[error] 2-2: Unable to import 'discord.ext'
(E0401)
[error] 5-5: Unable to import 'app.core.orchestration.queue_manager'
(E0401)
[error] 6-6: Unable to import 'app.agents.shared.classification_router'
(E0401)
[convention] 3-3: standard import "logging" should be placed before third party imports "discord", "discord.ext.commands"
(C0411)
[convention] 4-4: standard import "typing.Dict" should be placed before third party imports "discord", "discord.ext.commands"
(C0411)
38-38: Use lazy formatting in logging statements.Logging statements should use lazy formatting for better performance.
- logger.info(f'Enhanced Discord bot logged in as {self.user}') + logger.info('Enhanced Discord bot logged in as %s', self.user) - logger.info(f"Message classified as: {classification}") + logger.info("Message classified as: %s", classification) - logger.error(f"Error processing message: {str(e)}") + logger.error("Error processing message: %s", str(e)) - logger.error(f"Error handling DevRel message: {str(e)}") + logger.error("Error handling DevRel message: %s", str(e)) - logger.error(f"Failed to create thread: {str(e)}") + logger.error("Failed to create thread: %s", str(e)) - logger.error(f"Thread {thread_id} not found for agent response") + logger.error("Thread %s not found for agent response", thread_id) - logger.error(f"Error handling agent response: {str(e)}") + logger.error("Error handling agent response: %s", str(e))Also applies to: 63-63, 70-70, 115-115, 155-155, 179-179, 182-182
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🪛 Pylint (3.3.7)
[warning] 38-38: Use lazy % formatting in logging functions
(W1203)
69-70: Consider more specific exception handling.Catching general
Exceptioncan mask important errors. Consider catching more specific exceptions where possible.For critical operations like message processing and agent responses, consider catching specific exceptions (e.g.,
discord.HTTPException,discord.Forbidden) to provide better error handling and user feedback.Also applies to: 114-115, 154-155, 181-182
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 69-69: Catching too general exception Exception
(W0718)
[warning] 70-70: Use lazy % formatting in logging functions
(W1203)
191-191: Fix line length.Line exceeds the 100-character limit.
- await ctx.send("Your DevRel thread has been reset. Next message will create a new thread.") + await ctx.send( + "Your DevRel thread has been reset. Next message will create a new thread." + )🧰 Tools
🪛 Pylint (3.3.7)
[convention] 191-191: Line too long (103/100)
(C0301)
47-47: Address TODO comment.The TODO indicates missing command support functionality.
The comment suggests adding role-based command support. Would you like me to help implement a role-based command system or create an issue to track this enhancement?
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[warning] 47-47: TODO: Add support for commands
(W0511)
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backend/bots/discord/discord_bot.py(1 hunks)
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🪛 Pylint (3.3.7)
backend/bots/discord/discord_bot.py
[convention] 191-191: Line too long (103/100)
(C0301)
[warning] 47-47: TODO: Add support for commands
(W0511)
[convention] 1-1: Missing module docstring
(C0114)
[error] 1-1: Unable to import 'discord'
(E0401)
[error] 2-2: Unable to import 'discord.ext'
(E0401)
[error] 5-5: Unable to import 'app.core.orchestration.queue_manager'
(E0401)
[error] 6-6: Unable to import 'app.agents.shared.classification_router'
(E0401)
[warning] 38-38: Use lazy % formatting in logging functions
(W1203)
[warning] 69-69: Catching too general exception Exception
(W0718)
[warning] 63-63: Use lazy % formatting in logging functions
(W1203)
[warning] 70-70: Use lazy % formatting in logging functions
(W1203)
[warning] 114-114: Catching too general exception Exception
(W0718)
[warning] 115-115: Use lazy % formatting in logging functions
(W1203)
[warning] 154-154: Catching too general exception Exception
(W0718)
[warning] 155-155: Use lazy % formatting in logging functions
(W1203)
[warning] 181-181: Catching too general exception Exception
(W0718)
[warning] 179-179: Use lazy % formatting in logging functions
(W1203)
[warning] 182-182: Use lazy % formatting in logging functions
(W1203)
[convention] 3-3: standard import "logging" should be placed before third party imports "discord", "discord.ext.commands"
(C0411)
[convention] 4-4: standard import "typing.Dict" should be placed before third party imports "discord", "discord.ext.commands"
(C0411)
🔇 Additional comments (3)
backend/bots/discord/discord_bot.py (3)
81-95: Excellent message structure and response handling.The agent message structure is well-designed with comprehensive metadata, and the response handling properly splits long messages to comply with Discord's 2000-character limit.
Also applies to: 159-177
117-152: Solid thread management implementation.The thread management logic correctly handles existing threads, creates new ones when needed, provides helpful welcome messages, and includes proper fallback behavior.
98-103:⚠️ Potential issueFix priority mapping logic error.
The priority variable is overwritten, making the priority mapping ineffective.
- # Determine priority based on classification - priority = { - "high": QueuePriority.HIGH, - "medium": QueuePriority.MEDIUM, - "low": QueuePriority.LOW - } - priority = priority.get(classification.get("priority"), QueuePriority.MEDIUM) + # Determine priority based on classification + priority_mapping = { + "high": QueuePriority.HIGH, + "medium": QueuePriority.MEDIUM, + "low": QueuePriority.LOW + } + priority = priority_mapping.get(classification.get("priority"), QueuePriority.MEDIUM)Likely an incorrect or invalid review comment.
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Actionable comments posted: 11
♻️ Duplicate comments (3)
backend/app/agents/devrel/nodes/generate_response_node.py (1)
31-35: Code duplication: Extract message retrieval utility.This exact message retrieval pattern is duplicated from
handle_web_search_node.pylines 25-30. As suggested in the web search node review, consider extracting this to a shared utility function.backend/app/core/orchestration/agent_coordinator.py (2)
19-19: Remove unused active_sessions or implement session management.The
active_sessionsdictionary is created but never used, indicating incomplete session management functionality.Either remove it if not needed or implement proper session tracking:
- self.active_sessions: Dict[str, AgentState] = {}Or implement session tracking:
+ # Store and track the session + self.active_sessions[session_id] = initial_state
39-39: Address platform defaulting that may mask errors.The platform defaults to "discord" when not provided, but
AgentState.platformis a required field. This defaulting could mask upstream errors where platform information is missing.Consider making this more explicit:
- platform=message_data.get("platform", "discord"), + platform=message_data.get("platform") or "discord",And add validation:
+ if not message_data.get("platform"): + logger.warning(f"Missing platform in message data, defaulting to discord")Also applies to: 90-90
🧹 Nitpick comments (10)
backend/app/agents/shared/state.py (1)
41-42: Consider restricting arbitrary_types_allowed.The
arbitrary_types_allowed = Trueconfig is quite permissive and might allow unsafe types. Consider being more specific about which arbitrary types are needed.class Config: - arbitrary_types_allowed = True + # Only allow specific types that are needed for LangGraph integration + arbitrary_types_allowed = True # Required for LangGraph StateGraph integrationAlternatively, you could use
extra = "forbid"to prevent unexpected fields while keeping arbitrary types only where necessary.🧰 Tools
🪛 Pylint (3.3.7)
[refactor] 41-41: Too few public methods (0/2)
(R0903)
backend/app/agents/devrel/nodes/handle_faq_node.py (2)
6-6: Add type hint for faq_tool parameter.The
faq_toolparameter lacks a type hint, making the code less maintainable and reducing IDE support.-async def handle_faq_node(state: AgentState, faq_tool) -> AgentState: +async def handle_faq_node(state: AgentState, faq_tool: 'FAQTool') -> AgentState:You'll need to import the FAQTool type or use a string annotation if there are circular import issues.
10-17: Extract duplicated message extraction logic.This message extraction pattern is identical to the one in
classify_intent_node.py. Consider creating a utility function to avoid code duplication.Create a utility function in a shared module:
# In backend/app/agents/shared/utils.py def extract_latest_message(state: AgentState) -> str: """Extract the latest message from agent state""" if state.messages: return state.messages[-1].get("content", "") elif state.context.get("original_message"): return state.context["original_message"] return ""Then use it in both files:
-latest_message = "" -if state.messages: - latest_message = state.messages[-1].get("content", "") -elif state.context.get("original_message"): - latest_message = state.context["original_message"] +from app.agents.shared.utils import extract_latest_message + +latest_message = extract_latest_message(state)backend/app/agents/devrel/nodes/gather_context_node.py (1)
10-17: Address the TODO: Implement database context gathering.The current implementation only uses data already available in the
AgentState. For a production DevRel assistant, gathering external context like user history, previous interactions, and project-specific information would be valuable.The TODO comment indicates plans for database integration. Would you like me to help design the database schema and context gathering logic for user history and interaction patterns?
backend/app/agents/devrel/nodes/handle_web_search_node.py (1)
25-30: Consider extracting message retrieval to a shared utility.This message retrieval pattern is also used in
generate_response_node.pylines 31-35. Consider extracting it to a shared utility function to avoid duplication.Create a shared utility function in
backend/app/agents/shared/utils.py:def get_latest_message(state: AgentState) -> str: """Extract the latest message from state.""" if state.messages: return state.messages[-1].get("content", "") elif state.context.get("original_message"): return state.context["original_message"] return ""backend/app/agents/devrel/nodes/generate_response_node.py (3)
17-17: Consider making result limit configurable.The hardcoded limit of 3 results (
results[:3]) could be made configurable for different use cases.Consider adding a parameter or configuration constant:
- for i, result in enumerate(results[:3]): + max_results = 3 # Could be passed as parameter or from config + for i, result in enumerate(results[:max_results]):
37-40: Improve conversation history formatting for LLM.The current formatting concatenates message type and content, but this may not be optimal for LLM understanding. Consider using a more structured format.
- conversation_history_str = "\n".join([ - f"{msg.get('type', 'unknown')}: {msg.get('content', '')}" - for msg in state.conversation_history[-5:] - ]) + conversation_history_str = "\n".join([ + f"{'User' if msg.get('type') == 'human' else 'Assistant'}: {msg.get('content', '')}" + for msg in state.conversation_history[-5:] + if msg.get('content', '').strip() # Skip empty messages + ])
39-39: Consider making conversation history limit configurable.The hardcoded limit of 5 messages (
[-5:]) could be made configurable based on context window limits or conversation complexity.backend/app/agents/devrel/agent.py (1)
24-33: Consider extracting LLM configuration to settings.The LLM configuration is currently hardcoded. Consider making temperature and model configurable through settings for better flexibility.
def __init__(self, config: Dict[str, Any] = None): self.config = config or {} self.llm = ChatGoogleGenerativeAI( model=settings.devrel_agent_model, - temperature=0.3, + temperature=settings.devrel_agent_temperature or 0.3, google_api_key=settings.gemini_api_key )backend/app/core/orchestration/agent_coordinator.py (1)
87-105: Consider adding platform extensibility.The current implementation only supports Discord. Consider making the platform response handling more extensible for future platform integrations.
async def _send_response_to_platform(self, original_message: Dict[str, Any], response: str): """Send agent response back to the originating platform""" try: platform = original_message.get("platform", "discord") - if platform == "discord": - # Send response back to Discord queue for bot to handle - response_message = { - "type": "discord_response", - "thread_id": original_message.get("thread_id"), - "channel_id": original_message.get("channel_id"), - "response": response, - "original_message_id": original_message.get("id") - } - - await self.queue_manager.enqueue(response_message) + platform_handlers = { + "discord": self._send_discord_response, + # Future: "slack": self._send_slack_response, + # Future: "github": self._send_github_response + } + + handler = platform_handlers.get(platform) + if handler: + await handler(original_message, response) + else: + logger.warning(f"Unsupported platform: {platform}") except Exception as e: logger.error(f"Error sending response to platform: {str(e)}") +async def _send_discord_response(self, original_message: Dict[str, Any], response: str): + """Send response to Discord platform""" + response_message = { + "type": "discord_response", + "thread_id": original_message.get("thread_id"), + "channel_id": original_message.get("channel_id"), + "response": response, + "original_message_id": original_message.get("id") + } + await self.queue_manager.enqueue(response_message)
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backend/app/agents/devrel/agent.py(1 hunks)backend/app/agents/devrel/nodes/classify_intent_node.py(1 hunks)backend/app/agents/devrel/nodes/gather_context_node.py(1 hunks)backend/app/agents/devrel/nodes/generate_response_node.py(1 hunks)backend/app/agents/devrel/nodes/handle_faq_node.py(1 hunks)backend/app/agents/devrel/nodes/handle_onboarding_node.py(1 hunks)backend/app/agents/devrel/nodes/handle_technical_support_node.py(1 hunks)backend/app/agents/devrel/nodes/handle_web_search_node.py(1 hunks)backend/app/agents/devrel/prompts/base_prompt.py(1 hunks)backend/app/agents/devrel/prompts/search_prompt.py(1 hunks)backend/app/agents/devrel/state.py(1 hunks)backend/app/agents/shared/base_agent.py(1 hunks)backend/app/agents/shared/state.py(1 hunks)backend/app/core/orchestration/agent_coordinator.py(1 hunks)
✅ Files skipped from review due to trivial changes (3)
- backend/app/agents/devrel/state.py
- backend/app/agents/devrel/prompts/base_prompt.py
- backend/app/agents/devrel/prompts/search_prompt.py
🚧 Files skipped from review as they are similar to previous changes (1)
- backend/app/agents/shared/base_agent.py
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🧬 Code Graph Analysis (7)
backend/app/agents/devrel/nodes/classify_intent_node.py (2)
backend/app/agents/shared/state.py (1)
AgentState(4-42)backend/app/agents/shared/classification_router.py (2)
ClassificationRouter(29-188)classify_message(76-99)
backend/app/agents/devrel/nodes/handle_faq_node.py (2)
backend/app/agents/shared/state.py (1)
AgentState(4-42)backend/app/agents/devrel/tools/faq_tool.py (1)
get_response(22-35)
backend/app/agents/devrel/nodes/handle_technical_support_node.py (1)
backend/app/agents/shared/state.py (1)
AgentState(4-42)
backend/app/agents/devrel/nodes/gather_context_node.py (1)
backend/app/agents/shared/state.py (1)
AgentState(4-42)
backend/app/agents/devrel/nodes/handle_onboarding_node.py (1)
backend/app/agents/shared/state.py (1)
AgentState(4-42)
backend/app/agents/devrel/nodes/generate_response_node.py (1)
backend/app/agents/shared/state.py (1)
AgentState(4-42)
backend/app/agents/devrel/agent.py (12)
backend/app/agents/shared/base_agent.py (2)
BaseAgent(7-38)_build_graph(16-18)backend/app/agents/shared/state.py (1)
AgentState(4-42)backend/app/agents/shared/classification_router.py (1)
MessageCategory(12-21)backend/app/agents/devrel/tools/search_tool.py (1)
TavilySearchTool(9-50)backend/app/agents/devrel/tools/faq_tool.py (1)
FAQTool(6-44)backend/app/agents/devrel/nodes/classify_intent_node.py (1)
classify_intent_node(8-32)backend/app/agents/devrel/nodes/gather_context_node.py (1)
gather_context_node(6-21)backend/app/agents/devrel/nodes/handle_faq_node.py (1)
handle_faq_node(6-26)backend/app/agents/devrel/nodes/handle_web_search_node.py (1)
handle_web_search_node(21-42)backend/app/agents/devrel/nodes/handle_technical_support_node.py (1)
handle_technical_support_node(6-17)backend/app/agents/devrel/nodes/handle_onboarding_node.py (1)
handle_onboarding_node(6-17)backend/app/agents/devrel/nodes/generate_response_node.py (1)
generate_response_node(60-76)
🪛 Pylint (3.3.7)
backend/app/agents/shared/state.py
[refactor] 41-41: Too few public methods (0/2)
(R0903)
[refactor] 4-4: Too few public methods (0/2)
(R0903)
backend/app/core/orchestration/agent_coordinator.py
[refactor] 12-12: Too few public methods (0/2)
(R0903)
🔇 Additional comments (6)
backend/app/agents/shared/state.py (1)
4-42: Well-designed state model with comprehensive coverage.The
AgentStatemodel effectively captures all necessary aspects of agent session management with logical field groupings and appropriate default values. The use ofdefault_factoryfor lists and dictionaries prevents mutable default argument issues.🧰 Tools
🪛 Pylint (3.3.7)
[refactor] 41-41: Too few public methods (0/2)
(R0903)
[refactor] 4-4: Too few public methods (0/2)
(R0903)
backend/app/agents/devrel/nodes/gather_context_node.py (1)
13-17: Good basic context structure.The context data structure is well-organized with logical groupings (user_profile, conversation_context, session_info). This provides a solid foundation for more advanced context gathering.
backend/app/agents/devrel/nodes/handle_web_search_node.py (1)
8-19: Good error handling with fallback strategy.The error handling for the prompt formatting is well-implemented with a sensible fallback to the original message. The logging helps with debugging query extraction.
backend/app/agents/devrel/nodes/generate_response_node.py (2)
9-25: Well-structured search response formatting.The function handles empty results gracefully and formats the response in a user-friendly way. The limit of 3 results prevents overwhelming the user while the source URLs provide credibility.
60-76: Well-designed response orchestration.The function properly routes different task types to appropriate response handlers and maintains clean state management. The fallback to LLM response for unspecified types is a good design choice.
backend/app/agents/devrel/agent.py (1)
35-76: Well-structured workflow graph construction.The graph construction is well-organized with clear node definitions, proper edge connections, and logical flow from intent classification through to response generation. The use of
functools.partialto bind tools and LLM instances to nodes is a clean approach.
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♻️ Duplicate comments (1)
backend/bots/discord/discord_bot.py (1)
27-27: Consider implementing thread persistence.The current implementation stores thread mappings only in memory, which means they're lost on bot restart. This forces users to start new conversations after each restart.
For production use, consider persisting the
active_threadsdictionary to a database or file to maintain thread continuity across restarts.Also applies to: 142-143
🧹 Nitpick comments (2)
backend/app/agents/devrel/nodes/gather_context_node.py (1)
3-3: Remove unused import.The
MessageCategoryimport is not used anywhere in this file and should be removed to keep the code clean.-from app.agents.shared.classification_router import MessageCategory🧰 Tools
🪛 Ruff (0.11.9)
3-3:
app.agents.shared.classification_router.MessageCategoryimported but unusedRemove unused import:
app.agents.shared.classification_router.MessageCategory(F401)
backend/bots/discord/discord_bot.py (1)
126-131: Simplify control flow by removing unnecessary else.The else block after return is unnecessary and can be simplified.
# Verify thread still exists and is active if thread and not thread.archived: return thread_id - else: - del self.active_threads[user_id] - logger.info(f"Cleaned up archived thread for user {user_id}") + + del self.active_threads[user_id] + logger.info(f"Cleaned up archived thread for user {user_id}")🧰 Tools
🪛 Pylint (3.3.7)
[refactor] 126-130: Unnecessary "else" after "return", remove the "else" and de-indent the code inside it
(R1705)
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (4)
backend/app/agents/devrel/agent.py(1 hunks)backend/app/agents/devrel/nodes/gather_context_node.py(1 hunks)backend/app/agents/shared/classification_router.py(1 hunks)backend/bots/discord/discord_bot.py(1 hunks)
🧰 Additional context used
🧬 Code Graph Analysis (2)
backend/app/agents/devrel/agent.py (11)
backend/app/agents/shared/base_agent.py (2)
BaseAgent(7-38)_build_graph(16-18)backend/app/agents/shared/state.py (1)
AgentState(4-42)backend/app/agents/shared/classification_router.py (1)
MessageCategory(12-21)backend/app/agents/devrel/tools/search_tool.py (1)
TavilySearchTool(9-50)backend/app/agents/devrel/tools/faq_tool.py (1)
FAQTool(6-44)backend/app/agents/devrel/nodes/gather_context_node.py (1)
gather_context_node(7-22)backend/app/agents/devrel/nodes/handle_faq_node.py (1)
handle_faq_node(6-26)backend/app/agents/devrel/nodes/handle_web_search_node.py (1)
handle_web_search_node(21-42)backend/app/agents/devrel/nodes/handle_technical_support_node.py (1)
handle_technical_support_node(6-17)backend/app/agents/devrel/nodes/handle_onboarding_node.py (1)
handle_onboarding_node(6-17)backend/app/agents/devrel/nodes/generate_response_node.py (1)
generate_response_node(60-76)
backend/app/agents/devrel/nodes/gather_context_node.py (2)
backend/app/agents/shared/state.py (1)
AgentState(4-42)backend/app/agents/shared/classification_router.py (1)
MessageCategory(12-21)
🪛 Pylint (3.3.7)
backend/bots/discord/discord_bot.py
[refactor] 126-130: Unnecessary "else" after "return", remove the "else" and de-indent the code inside it
(R1705)
backend/app/agents/shared/classification_router.py
[refactor] 29-29: Too few public methods (1/2)
(R0903)
🪛 Ruff (0.11.9)
backend/app/agents/devrel/nodes/gather_context_node.py
3-3: app.agents.shared.classification_router.MessageCategory imported but unused
Remove unused import: app.agents.shared.classification_router.MessageCategory
(F401)
🔇 Additional comments (15)
backend/app/agents/devrel/nodes/gather_context_node.py (1)
7-22: LGTM! Simple and focused context gathering node.The function correctly:
- Logs the operation for debugging
- Builds basic context data with user profile, conversation context, and session info
- Updates the state context and current task appropriately
- Has a clear TODO for future database integration
The implementation is straightforward and serves its purpose as an entry point node in the workflow.
backend/app/agents/devrel/agent.py (3)
23-32: LGTM! Clean agent initialization.The constructor properly:
- Accepts optional configuration
- Initializes the LLM with appropriate settings from config
- Sets up required tools (search and FAQ)
- Calls parent constructor correctly
The use of temperature=0.3 is appropriate for consistent DevRel responses.
34-73: LGTM! Well-structured workflow graph.The graph construction is excellent:
- All necessary nodes are added with proper partial function bindings for tool injection
- Conditional edges correctly map MessageCategory enums to handler node names
- Multiple categories appropriately route to technical support as fallback
- Clean edge connections leading all handlers to response generation
- Proper entry point and compilation
The workflow design supports the modular architecture well.
75-100: LGTM! Robust routing implementation with proper error handling.The routing method correctly:
- Extracts classification from state context
- Handles string-to-enum conversion with proper error handling
- Returns enum values that match the conditional edges mapping
- Includes comprehensive logging for debugging
- Has appropriate fallback logic for unknown intents
This addresses the previous routing mismatch issues mentioned in past reviews.
backend/bots/discord/discord_bot.py (4)
13-31: LGTM! Proper Discord bot initialization.The initialization correctly:
- Sets up required Discord intents for message content, guilds, and members
- Configures command prefix and passes through additional kwargs
- Initializes queue manager, classifier, and thread mapping
- Registers queue handlers properly
The architecture integrates well with the async queue system.
41-71: LGTM! Clean message processing with proper classification.The message handling correctly:
- Skips bot's own messages
- Processes commands separately
- Classifies messages locally before agent processing
- Only processes messages that need DevRel intervention
- Includes proper error handling and logging
The flow is efficient and prevents unnecessary agent invocations.
174-180: LGTM! Proper handling of Discord message length limits.The response handling correctly:
- Chunks long messages to stay within Discord's 2000 character limit
- Sends messages to the appropriate thread
- Includes error handling for missing threads
This prevents message truncation and ensures reliable delivery.
187-238: LGTM! Well-implemented commands with helpful functionality.Both commands are well-designed:
!resetprovides a clean way to reset thread state!help_devreloffers comprehensive help with embedded formatting- Proper error handling and user feedback
- Clear documentation of bot capabilities
The help embed is particularly well-structured and informative.
backend/app/agents/shared/classification_router.py (7)
12-27: LGTM! Well-defined enums for classification.The enum definitions are comprehensive and cover all necessary message categories and DevRel need levels. Using string enums makes them easy to serialize and work with in JSON responses.
32-38: LGTM! Flexible initialization with proper configuration.The constructor correctly:
- Accepts optional LLM client for testing/dependency injection
- Uses settings-based configuration for the model
- Sets appropriate temperature (0.1) for consistent classification
- Calls prompt setup method
Good separation of concerns and configurability.
40-74: LGTM! Comprehensive and well-structured classification prompt.The prompt template is excellent:
- Clear instructions for all classification dimensions
- Specific guidelines for DevRel intervention levels
- Good examples of web search indicators
- Proper JSON schema specification
- Contextual parameters for flexibility
This should provide consistent and accurate classifications.
76-99: LGTM! Robust classification workflow with proper error handling.The main classification method correctly:
- Attempts quick pattern matching first for efficiency
- Falls back to LLM classification for complex cases
- Includes comprehensive error handling with logging
- Uses fallback classification as last resort
The multi-layered approach optimizes both speed and accuracy.
101-159: LGTM! Effective pattern-based classification for common cases.The quick classification method is well-implemented:
- Uses appropriate regex patterns for each category
- Returns proper classification structure with confidence scores
- Covers important categories like web search, FAQ, and bug reports
- Good balance between pattern complexity and accuracy
This will handle many common cases efficiently without LLM calls.
161-194: LGTM! Robust JSON parsing with proper error handling.The parsing method correctly addresses previous review concerns:
- Extracts JSON content from response text
- Maps category strings to enum values with fallback
- Includes comprehensive error handling
- Returns fallback classification on any parsing failure
The implementation is robust and handles edge cases well.
196-206: LGTM! Improved fallback classification with message context.The fallback method now properly utilizes the message parameter to provide more context-aware fallback classification, addressing previous review feedback. The truncated message inclusion in reasoning is a nice touch for debugging.
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@chandansgowda can you please review and merge. Attaching a few latest interactions Details
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2 participants
Refers #65
Attaching interaction screenshots
Summary by CodeRabbit
New Features
Chores
Bug Fixes