Conversation
WalkthroughThe updates introduce new asynchronous test implementations and logging for agent workflows, add UI functionality for a sidebar in a multi-agent RAG system, extend models and enumerations, and initialize a default research graph application. Test result JSON files are added to log outcomes. Several files are refactored for async compatibility and improved state handling. The ResearchAgent's search execution is enhanced with agentic tool use, streaming progress, and JSON parsing. Frontend components add a tabbed chat and research results interface with real-time updates and API integration. A detailed multi-stage build plan document is added. A new integration test script for the Research Agent is included. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant StreamlitApp
participant Sidebar
participant SessionState
User->>StreamlitApp: Launches app
StreamlitApp->>Sidebar: render_sidebar()
Sidebar->>SessionState: Read/update workflow mode, toggles, logs, tasks
Sidebar->>StreamlitApp: Update UI based on session state
User->>Sidebar: Interacts (selects mode, toggles, runs tasks)
Sidebar->>SessionState: Update state and trigger rerun/actions
sequenceDiagram
participant Tester
participant Orchestrator
participant ResearchAgent
participant ResearchApp
Tester->>Orchestrator: invoke/ainvoke (message)
Orchestrator->>ResearchAgent: Plan/execute steps
ResearchAgent-->>Orchestrator: Step results/status
Orchestrator-->>Tester: AppState/results
Tester->>ResearchApp: ainvoke (workflow)
ResearchApp-->>Tester: Workflow execution result
Tester->>JSON: Write test results
sequenceDiagram
participant User
participant ChatInterface
participant ResearchService
participant ResearchProgressView
participant BackendAPI
User->>ChatInterface: Switch to "Research Results" tab
ChatInterface->>ResearchProgressView: Render with activeResearchId
ResearchProgressView->>BackendAPI: Fetch research results (GET)
BackendAPI-->>ResearchProgressView: Return results
ResearchProgressView->>User: Display tabs with progress and logs
ResearchProgressView->>BackendAPI: Poll and SSE subscribe for updates
BackendAPI-->>ResearchProgressView: Send real-time updates
User->>ChatInterface: Open new research dialog
ChatInterface->>ResearchService: startResearch(request)
ResearchService->>BackendAPI: POST new research
BackendAPI-->>ResearchService: Research started
ResearchService-->>ChatInterface: Return new research ID
ChatInterface->>ResearchProgressView: Update activeResearchId and tab
Poem
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Actionable comments posted: 3
🔭 Outside diff range comments (1)
sentient-core/app/ui/sidebar.py (1)
6-105: Consider refactoring this large function for better maintainability.The
render_sidebarfunction has high complexity with 16 branches and 56 statements. Consider breaking it down into smaller, focused functions for each section (e.g.,render_workflow_mode(),render_display_options(),render_progress(), etc.).Would you like me to help refactor this into smaller, more manageable functions?
🧹 Nitpick comments (3)
sentient-core/core/graphs/research_graph.py (2)
63-63: Add proper spacing after function definition.PEP 8 requires two blank lines after top-level function definitions.
Apply this diff to fix the formatting:
# Compile and return the graph return workflow.compile() + + # Create a default research_app instance using EnhancedLLMService
64-65: Consider implications of module-level service instantiation.Creating a default
EnhancedLLMServiceinstance at module level provides convenience but may complicate testing and dependency injection. Consider whether this should be moved to a factory function or configuration-based approach.Alternative approach:
-# Create a default research_app instance using EnhancedLLMService -llm_service = EnhancedLLMService() -research_app = create_research_graph(llm_service) +def get_default_research_app(): + """Get default research app instance with EnhancedLLMService.""" + llm_service = EnhancedLLMService() + return create_research_graph(llm_service) + +# Create default instance for backward compatibility +research_app = get_default_research_app()sentient-core/app/ui/sidebar.py (1)
91-94: Simplify nested if statements.These nested if statements can be combined into a single condition for better readability.
Apply this diff to simplify:
-if task.status == TaskStatus.PENDING: - if st.button("Run", key=f"run_task_{task.id}_{i}"): - st.session_state.app_state.task_to_run_id = task.id - st.rerun() +if task.status == TaskStatus.PENDING and st.button("Run", key=f"run_task_{task.id}_{i}"): + st.session_state.app_state.task_to_run_id = task.id + st.rerun()
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⛔ Files ignored due to path filters (15)
memory_management.dbis excluded by!**/*.dbsentient-core/app/__pycache__/__init__.cpython-313.pycis excluded by!**/*.pycsentient-core/core/__pycache__/__init__.cpython-313.pycis excluded by!**/*.pycsentient-core/core/__pycache__/models.cpython-313.pycis excluded by!**/*.pycsentient-core/core/agents/__pycache__/__init__.cpython-313.pycis excluded by!**/*.pycsentient-core/core/agents/__pycache__/monitoring_agent.cpython-313.pycis excluded by!**/*.pycsentient-core/core/agents/__pycache__/research_agent.cpython-313.pycis excluded by!**/*.pycsentient-core/core/agents/__pycache__/ultra_orchestrator.cpython-313.pycis excluded by!**/*.pycsentient-core/core/services/__pycache__/__init__.cpython-313.pycis excluded by!**/*.pycsentient-core/core/services/__pycache__/llm_service.cpython-313.pycis excluded by!**/*.pycsentient-core/tests/__pycache__/__init__.cpython-313.pycis excluded by!**/*.pycsentient-core/tests/__pycache__/conftest.cpython-313-pytest-8.4.1.pycis excluded by!**/*.pycsentient-core/tests/__pycache__/test_agents.cpython-313-pytest-8.4.1.pycis excluded by!**/*.pycsentient-core/tests/__pycache__/test_phase2_orchestration.cpython-313-pytest-8.4.1.pycis excluded by!**/*.pycsentient-core/tests/__pycache__/test_services.cpython-313-pytest-8.4.1.pycis excluded by!**/*.pyc
📒 Files selected for processing (10)
agent_execution_results.json(1 hunks)sentient-core/app/main.py(1 hunks)sentient-core/app/ui/sidebar.py(1 hunks)sentient-core/core/agents/base_agent.py(1 hunks)sentient-core/core/graphs/research_graph.py(1 hunks)sentient-core/core/models.py(1 hunks)sentient-core/test_agent_execution.py(3 hunks)sentient-core/test_memory_store.py(1 hunks)sentient-core/test_working_agents.py(4 hunks)working_agent_results.json(1 hunks)
🧰 Additional context used
🧬 Code Graph Analysis (2)
sentient-core/app/main.py (1)
sentient-core/app/ui/sidebar.py (1)
render_sidebar(6-104)
sentient-core/test_working_agents.py (3)
sentient-core/core/agents/ultra_orchestrator.py (1)
UltraOrchestrator(12-183)sentient-core/core/agents/research_agent.py (4)
ResearchAgent(15-508)plan_steps(124-144)execute_search(222-315)synthesize_report(317-337)sentient-core/core/models.py (1)
ResearchState(113-119)
🪛 Flake8 (7.2.0)
sentient-core/core/graphs/research_graph.py
[error] 64-64: expected 2 blank lines after class or function definition, found 0
(E305)
sentient-core/test_memory_store.py
[error] 1-1: SyntaxError: invalid syntax
(E999)
sentient-core/app/ui/sidebar.py
[error] 4-4: 'core.models.LogEntry' imported but unused
(F401)
[error] 6-6: expected 2 blank lines, found 1
(E302)
🪛 Ruff (0.11.9)
sentient-core/test_memory_store.py
1-2: SyntaxError: Expected an expression
sentient-core/app/ui/sidebar.py
4-4: core.models.LogEntry imported but unused
Remove unused import: core.models.LogEntry
(F401)
91-92: Use a single if statement instead of nested if statements
(SIM102)
🪛 Pylint (3.3.7)
sentient-core/test_memory_store.py
[error] 1-1: Parsing failed: 'invalid syntax (test_memory_store, line 1)'
(E0001)
sentient-core/app/ui/sidebar.py
[refactor] 6-6: Too many branches (16/12)
(R0912)
[refactor] 6-6: Too many statements (56/50)
(R0915)
🔇 Additional comments (11)
sentient-core/core/agents/base_agent.py (1)
49-49: LGTM! Good addition for enhanced activity tracking.Adding the
PROCESSINGactivity type provides more granular tracking capabilities for agents during asynchronous operations, which aligns well with the enhanced agent workflows in this PR.sentient-core/core/models.py (1)
106-106: LGTM! Useful enhancement for research step metadata.Adding the optional
descriptionfield toResearchStepprovides valuable additional context for research steps, supporting richer metadata handling in the enhanced research workflows.sentient-core/test_agent_execution.py (3)
169-169: LGTM! Consistent API update to async invocation pattern.The change from
process_messagetoinvokealigns with the async orchestrator interface.
224-224: LGTM! Proper async workflow invocation.The use of
ainvokefor the research workflow graph is the correct async pattern for LangGraph applications.
290-290: LGTM! Consistent orchestrator invocation.The
invokemethod usage is consistent with the updated async orchestrator API.working_agent_results.json (1)
1-91: Test results file looks properly formatted.This JSON file captures the test execution results. Note that there's one failing test: "Research Workflow: Execution" (line 84-89), which should be investigated and fixed.
agent_execution_results.json (1)
1-86: Test results properly captured.This JSON file documents the agent execution test results. The "Workflow Graph: Execution" failure (lines 59-64) appears to be related to the async workflow execution, which correlates with similar failures in other test result files.
sentient-core/test_working_agents.py (4)
9-13: LGTM! Clean import statements.Good cleanup - removed unused imports and added only the necessary ones for the refactored async tests.
37-49: LGTM! Proper async implementation.The test method is correctly converted to async and properly awaits the orchestrator's
invokemethod.
191-220: LGTM! Well-structured async workflow test.The new
test_research_workflow_asyncmethod properly tests the async research workflow with comprehensive result validation and error handling.
224-228: LGTM! All tests properly awaited.The
run_all_testsmethod correctly awaits all async test methods, including the newly added workflow test.
| @@ -1,4 +1,4 @@ | |||
| #!/usr/bin/env python3 | |||
| sentient-core/#!/usr/bin/env python3 | |||
There was a problem hiding this comment.
Fix the malformed shebang line.
The shebang line has an incorrect prefix sentient-core/ that will cause syntax errors and prevent the script from executing.
Apply this diff to fix the syntax error:
-sentient-core/#!/usr/bin/env python3
+#!/usr/bin/env python3📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| sentient-core/#!/usr/bin/env python3 | |
| #!/usr/bin/env python3 |
🧰 Tools
🪛 Ruff (0.11.9)
1-2: SyntaxError: Expected an expression
🪛 Flake8 (7.2.0)
[error] 1-1: SyntaxError: invalid syntax
(E999)
🪛 Pylint (3.3.7)
[error] 1-1: Parsing failed: 'invalid syntax (test_memory_store, line 1)'
(E0001)
🤖 Prompt for AI Agents
In sentient-core/test_memory_store.py at line 1, the shebang line is malformed
with an incorrect prefix 'sentient-core/'. Remove this prefix so the line starts
correctly with '#!/usr/bin/env python3' to ensure the script executes without
syntax errors.
| import sys | ||
| import os | ||
| from dotenv import load_dotenv | ||
| from app.ui.sidebar import render_sidebar |
There was a problem hiding this comment.
Remove duplicate render_sidebar function definitions.
The file imports render_sidebar from app.ui.sidebar but also defines a local render_sidebar function at lines 105-223. This creates naming conflicts and confusion about which implementation is being used.
Based on the comprehensive implementation in app/ui/sidebar.py, remove the local function and use the imported one:
from dotenv import load_dotenv
from app.ui.sidebar import render_sidebarThen remove the local render_sidebar function definition at lines 105-223 and update any calls to use the imported version.
Committable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In sentient-core/app/main.py, remove the entire local render_sidebar function
defined between lines 105 and 223 to avoid naming conflicts with the imported
render_sidebar from app.ui.sidebar. After deleting this local function, ensure
all calls to render_sidebar in the file use the imported version consistently.
| # sentient-core/app/ui/sidebar.py | ||
|
|
||
| import streamlit as st | ||
| from core.models import AppState, TaskStatus, LogEntry |
There was a problem hiding this comment.
Remove unused import.
The LogEntry import is not used anywhere in this file.
Apply this diff to remove the unused import:
-from core.models import AppState, TaskStatus, LogEntry
+from core.models import AppState, TaskStatus📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| from core.models import AppState, TaskStatus, LogEntry | |
| from core.models import AppState, TaskStatus |
🧰 Tools
🪛 Flake8 (7.2.0)
[error] 4-4: 'core.models.LogEntry' imported but unused
(F401)
🪛 Ruff (0.11.9)
4-4: core.models.LogEntry imported but unused
Remove unused import: core.models.LogEntry
(F401)
🤖 Prompt for AI Agents
In sentient-core/app/ui/sidebar.py at line 4, the import LogEntry from
core.models is unused. Remove LogEntry from the import statement so it only
imports AppState and TaskStatus.
|
thanks for contributed testings |
…orchestration tests
There was a problem hiding this comment.
Actionable comments posted: 7
🔭 Outside diff range comments (3)
sentient-core/core/agents/research_agent.py (1)
267-272: Critical: Fix unclosed string literal causing syntax errors.The multi-line string starting at line 267 is missing closing quotes at line 272, causing syntax errors throughout the file.
Apply this fix:
Instructions: 1. Search for current, accurate information 2. Look for multiple sources and perspectives 3. Include specific facts, figures, and data points 4. Note any conflicting information or debates +"""sentient-core/frontend/components/chat-interface.tsx (2)
256-279: Consider removing duplicate research mode selectionThe research mode buttons appear in the chat tab (lines 256-279) but research functionality has been moved to a separate tab with its own dialog. This creates a confusing UX where users might not understand the relationship between these buttons and the research tab.
Consider either:
- Remove these buttons from the chat tab since research has its own dedicated interface
- Or integrate them to trigger the research dialog and switch to the research tab
139-142: Update or remove setResearchModeAndNotify functionThis function sets research mode for the chat interface, but with research functionality moved to a separate tab, its purpose is unclear.
If research mode selection should trigger research in the new tab, update this function to open the research dialog or switch tabs. Otherwise, consider removing it along with the chat tab research buttons.
🧹 Nitpick comments (6)
project-doc/break-down-build.md (1)
1-167: Well-structured build plan with clear incremental stages.The documentation provides an excellent roadmap for developing the conversational AI system. The phased approach from basic conversation loop to advanced features is logical and practical.
Consider addressing these minor formatting improvements:
- Standardize list indentation to 2 spaces (currently using 4)
- Add a comma after "these steps" on line 167 for better readability
sentient-core/frontend/components/research-progress-view.tsx (1)
126-129: Enhance SSE error handling with reconnection logic.The current error handling only logs and closes the connection. Consider implementing exponential backoff reconnection for better resilience.
eventSource.onerror = () => { console.error(`SSE connection error for research task ${task.id}`); - eventSource.close(); + eventSource.close(); + + // Implement reconnection with exponential backoff + let retryCount = 0; + const maxRetries = 3; + + const reconnect = () => { + if (retryCount < maxRetries) { + setTimeout(() => { + console.log(`Attempting to reconnect SSE for task ${task.id}`); + // Re-establish connection logic here + retryCount++; + }, Math.pow(2, retryCount) * 1000); + } + }; + + reconnect(); };sentient-core/core/agents/research_agent.py (1)
38-45: Consider making model names configurable.The model names are hardcoded, which reduces flexibility. Consider accepting them as configuration parameters or environment variables.
-def __init__(self, llm_service: EnhancedLLMService, agent_id: str = "research_agent"): +def __init__(self, llm_service: EnhancedLLMService, agent_id: str = "research_agent", model_config: Optional[Dict[str, str]] = None): super().__init__( agent_id=agent_id, name="Research Agent", capabilities=[AgentCapability.RESEARCH, AgentCapability.ANALYSIS], description="Advanced research agent with multiple research modes" ) self.llm_service = llm_service # Model selection based on research complexity with agentic capabilities - self.models = { + default_models = { "planning": "compound-beta", # Best for planning and tool use "search": "compound-beta", # Full-featured for search with tool access "search_efficient": "compound-mini-beta", # Efficient for simpler search tasks "synthesis": "compound-beta", # Best for complex synthesis "reasoning": "compound-beta" # Best for deep reasoning } + self.models = model_config or default_modelssentient-core/test_research_agent_integration.py (1)
13-13: Remove unused import.The
jsonmodule is imported but never used in the file.-import jsonsentient-core/frontend/components/chat-interface.tsx (2)
26-36: Consider using useReducer for complex state managementThe component manages 12 state variables, which could lead to maintenance issues and potential state synchronization problems. Consider consolidating related state using
useReducer.This would group related research states together and make state updates more predictable. For example, you could have a single research state object managing
activeTab,activeResearchId,showNewResearchDialog,newResearchQuery,newResearchMode,isStartingResearch, andresearchError.
161-165: Simplify error message extractionThe error message extraction logic can be simplified using a utility function or optional chaining.
- setResearchError(typeof error === 'object' && error !== null && 'message' in error - ? String(error.message) - : 'An unexpected error occurred'); + setResearchError( + error instanceof Error ? error.message : 'An unexpected error occurred' + );
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📒 Files selected for processing (7)
project-doc/break-down-build.md(1 hunks)sentient-core/core/agents/research_agent.py(3 hunks)sentient-core/frontend/components/chat-interface.tsx(4 hunks)sentient-core/frontend/components/research-progress-view.tsx(1 hunks)sentient-core/frontend/lib/api/index.ts(1 hunks)sentient-core/frontend/lib/api/research-service.ts(1 hunks)sentient-core/test_research_agent_integration.py(1 hunks)
✅ Files skipped from review due to trivial changes (1)
- sentient-core/frontend/lib/api/index.ts
🧰 Additional context used
🧬 Code Graph Analysis (2)
sentient-core/frontend/lib/api/research-service.ts (3)
sentient-core/frontend/lib/api/index.ts (1)
ResearchService(7-7)sentient-core/frontend/lib/api/core-services.ts (1)
request(98-115)sentient-core/frontend/components/research-progress-view.tsx (1)
ResearchResult(14-37)
sentient-core/core/agents/research_agent.py (1)
sentient-core/core/services/vector_service.py (4)
search(125-128)search(190-220)search(284-312)search(555-558)
🪛 LanguageTool
project-doc/break-down-build.md
[typographical] ~29-~29: A comma is not needed after quotations ending in either question marks or exclamation points.
Context: ...u ask "What was the first thing I said?", it should answer correctly). 3....
(COMMA_AFTER_QUESTION_QUOTE)
[uncategorized] ~59-~59: This verb may not be in the correct tense. Consider changing the tense to fit the context better.
Context: ...this as a research task. 2. It calls the Research Agent. 3. The `...
(AI_EN_LECTOR_REPLACEMENT_VERB_TENSE)
[uncategorized] ~167-~167: Possible missing comma found.
Context: ...I am ready to elaborate on any of these steps or begin with the technical specificati...
(AI_HYDRA_LEO_MISSING_COMMA)
🪛 markdownlint-cli2 (0.17.2)
project-doc/break-down-build.md
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🪛 Ruff (0.11.9)
sentient-core/test_research_agent_integration.py
13-13: json imported but unused
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sentient-core/core/agents/research_agent.py
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296-296: SyntaxError: Simple statements must be separated by newlines or semicolons
296-296: SyntaxError: Simple statements must be separated by newlines or semicolons
297-297: SyntaxError: Simple statements must be separated by newlines or semicolons
297-297: SyntaxError: Simple statements must be separated by newlines or semicolons
297-297: SyntaxError: Simple statements must be separated by newlines or semicolons
297-297: SyntaxError: Simple statements must be separated by newlines or semicolons
298-298: SyntaxError: Simple statements must be separated by newlines or semicolons
298-298: SyntaxError: Simple statements must be separated by newlines or semicolons
298-298: SyntaxError: Simple statements must be separated by newlines or semicolons
298-298: SyntaxError: Simple statements must be separated by newlines or semicolons
298-298: SyntaxError: Simple statements must be separated by newlines or semicolons
299-299: SyntaxError: Simple statements must be separated by newlines or semicolons
299-299: SyntaxError: Simple statements must be separated by newlines or semicolons
299-299: SyntaxError: Simple statements must be separated by newlines or semicolons
299-299: SyntaxError: Simple statements must be separated by newlines or semicolons
299-299: SyntaxError: Simple statements must be separated by newlines or semicolons
299-299: SyntaxError: Simple statements must be separated by newlines or semicolons
299-299: SyntaxError: Expected ')', found 'with'
299-299: SyntaxError: Expected ',', found name
299-299: SyntaxError: Expected ',', found ')'
299-300: SyntaxError: Expected ',', found newline
301-301: SyntaxError: Expected ':', found 'with'
301-301: SyntaxError: Expected ',', found name
301-301: SyntaxError: Expected ',', found name
301-301: SyntaxError: Expected ':', found 'with'
301-301: SyntaxError: Expected ',', found name
302-302: SyntaxError: Expected an indented block after with statement
🪛 Flake8 (7.2.0)
sentient-core/test_research_agent_integration.py
[error] 13-13: 'json' imported but unused
(F401)
[error] 21-21: module level import not at top of file
(E402)
[error] 22-22: module level import not at top of file
(E402)
[error] 23-23: module level import not at top of file
(E402)
[error] 28-28: expected 2 blank lines, found 1
(E302)
[error] 73-73: expected 2 blank lines, found 1
(E302)
[error] 148-148: expected 2 blank lines, found 1
(E302)
[error] 192-192: expected 2 blank lines, found 1
(E302)
sentient-core/core/agents/research_agent.py
[error] 285-285: IndentationError: unexpected indent
(E999)
🪛 Pylint (3.3.7)
sentient-core/test_research_agent_integration.py
[error] 21-21: Cannot import 'core.agents.research_agent' due to 'unexpected indent (core.agents.research_agent, line 285)'
(E0001)
[error] 21-21: No name 'research_agent' in module 'core.agents'
(E0611)
[error] 23-23: No name 'app' in module 'app'
(E0611)
[error] 138-138: Instance of 'MemoryService' has no 'query_items' member
(E1101)
sentient-core/core/agents/research_agent.py
[error] 285-285: Parsing failed: 'unexpected indent (core.agents.research_agent, line 285)'
(E0001)
🔇 Additional comments (3)
sentient-core/core/agents/research_agent.py (1)
273-281: Good implementation of search progress tracking.The unique search ID generation and progress tracking structure will enable effective frontend visualization of search progress.
sentient-core/frontend/lib/api/research-service.ts (1)
1-155: Well-implemented API service with consistent patterns.The ResearchService implementation follows best practices:
- Consistent error handling across all methods
- Proper TypeScript typing
- Clear method documentation
- Appropriate use of HTTP methods
sentient-core/frontend/components/chat-interface.tsx (1)
1-14: Skip - Imports are correctly organized
| const downloadPDF = async (research: ResearchResult) => { | ||
| try { | ||
| const pdfBlob = await ResearchService.generatePDF(research.id); | ||
| const url = URL.createObjectURL(pdfBlob); | ||
| const a = document.createElement('a'); | ||
| a.href = url; | ||
| a.download = `research-${research.query.slice(0, 30).replace(/[^a-z0-9]/gi, '-')}-${new Date(research.created_at).toISOString().split('T')[0]}.pdf`; | ||
| document.body.appendChild(a); | ||
| a.click(); | ||
| document.body.removeChild(a); | ||
| URL.revokeObjectURL(url); | ||
| } catch (error) { | ||
| console.error('Error downloading PDF:', error); | ||
| // Show error notification here | ||
| } | ||
| }; |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add user notification for PDF download errors.
The error is caught and logged but users won't know the download failed. Consider implementing a toast notification or error state.
Would you like me to implement a toast notification system or suggest a specific error handling pattern for user feedback?
🤖 Prompt for AI Agents
In sentient-core/frontend/components/research-progress-view.tsx around lines 161
to 176, the downloadPDF function catches errors and logs them but does not
notify the user of failures. To fix this, integrate a user notification
mechanism such as a toast notification or an error message display within the
catch block to inform users when the PDF download fails. Use an existing
notification system if available or implement a simple toast to show the error
message.
| // Set up polling for in-progress research tasks | ||
| const pollInterval = setInterval(async () => { | ||
| try { | ||
| const hasInProgressTasks = researchResults.some(r => r.status === 'in_progress'); | ||
| if (hasInProgressTasks) { | ||
| const results = await ResearchService.getResearchResults(); | ||
| setResearchResults(results); | ||
| } | ||
| } catch (error) { | ||
| console.error('Error polling research results:', error); | ||
| } | ||
| }, 5000); // Poll every 5 seconds | ||
|
|
||
| return () => clearInterval(pollInterval); | ||
| }, [activeResearchId]); |
There was a problem hiding this comment.
Fix potential stale closure issue in polling interval.
The polling interval references researchResults from the outer scope, but since it's in the dependency array, the effect will re-run when researchResults changes, creating multiple intervals. This could lead to memory leaks and unexpected behavior.
Apply this fix to properly handle the polling:
// Set up polling for in-progress research tasks
const pollInterval = setInterval(async () => {
try {
- const hasInProgressTasks = researchResults.some(r => r.status === 'in_progress');
- if (hasInProgressTasks) {
- const results = await ResearchService.getResearchResults();
- setResearchResults(results);
- }
+ const results = await ResearchService.getResearchResults();
+ const hasInProgressTasks = results.some(r => r.status === 'in_progress');
+ setResearchResults(results);
+
+ // Clear interval if no tasks are in progress
+ if (!hasInProgressTasks) {
+ clearInterval(pollInterval);
+ }
} catch (error) {
console.error('Error polling research results:', error);
}
}, 5000); // Poll every 5 secondsAlso, remove researchResults from the dependency array to prevent re-creating intervals:
-}, [activeResearchId]);
+}, [activeResearchId]); // eslint-disable-line react-hooks/exhaustive-deps📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| // Set up polling for in-progress research tasks | |
| const pollInterval = setInterval(async () => { | |
| try { | |
| const hasInProgressTasks = researchResults.some(r => r.status === 'in_progress'); | |
| if (hasInProgressTasks) { | |
| const results = await ResearchService.getResearchResults(); | |
| setResearchResults(results); | |
| } | |
| } catch (error) { | |
| console.error('Error polling research results:', error); | |
| } | |
| }, 5000); // Poll every 5 seconds | |
| return () => clearInterval(pollInterval); | |
| }, [activeResearchId]); | |
| // Set up polling for in-progress research tasks | |
| const pollInterval = setInterval(async () => { | |
| try { | |
| // Always fetch the latest results, then decide whether to keep polling | |
| const results = await ResearchService.getResearchResults(); | |
| const hasInProgressTasks = results.some(r => r.status === 'in_progress'); | |
| setResearchResults(results); | |
| // Clear interval if no tasks are in progress | |
| if (!hasInProgressTasks) { | |
| clearInterval(pollInterval); | |
| } | |
| } catch (error) { | |
| console.error('Error polling research results:', error); | |
| } | |
| }, 5000); // Poll every 5 seconds | |
| return () => clearInterval(pollInterval); | |
| }, [activeResearchId]); // eslint-disable-line react-hooks/exhaustive-deps |
🤖 Prompt for AI Agents
In sentient-core/frontend/components/research-progress-view.tsx around lines 75
to 89, the polling interval callback references the stale researchResults from
outer scope causing multiple intervals and potential memory leaks. To fix this,
use a functional state update or a ref to access the latest researchResults
inside the interval callback without including researchResults in the dependency
array. Also, remove researchResults from the effect's dependency array to
prevent re-creating intervals unnecessarily.
| async def test_research_agent_direct(): | ||
| """Test the Research Agent directly without going through the API endpoints.""" | ||
| print("\n--- Testing Research Agent Directly ---") | ||
|
|
||
| # Initialize the research agent | ||
| agent = ResearchAgent() | ||
|
|
There was a problem hiding this comment.
Fix ResearchAgent instantiation - missing required parameter.
The ResearchAgent class requires an llm_service parameter in its constructor, but the test instantiates it without any parameters.
You need to provide the llm_service parameter:
# Initialize the research agent
-agent = ResearchAgent()
+from core.services.llm_service import EnhancedLLMService
+llm_service = EnhancedLLMService() # Or mock service for testing
+agent = ResearchAgent(llm_service)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| async def test_research_agent_direct(): | |
| """Test the Research Agent directly without going through the API endpoints.""" | |
| print("\n--- Testing Research Agent Directly ---") | |
| # Initialize the research agent | |
| agent = ResearchAgent() | |
| async def test_research_agent_direct(): | |
| """Test the Research Agent directly without going through the API endpoints.""" | |
| print("\n--- Testing Research Agent Directly ---") | |
| # Initialize the research agent | |
| from core.services.llm_service import EnhancedLLMService | |
| llm_service = EnhancedLLMService() # Or mock service for testing | |
| agent = ResearchAgent(llm_service) |
🧰 Tools
🪛 Flake8 (7.2.0)
[error] 28-28: expected 2 blank lines, found 1
(E302)
🤖 Prompt for AI Agents
In sentient-core/test_research_agent_integration.py around lines 28 to 34, the
ResearchAgent is instantiated without the required llm_service parameter. Fix
this by passing a valid llm_service instance when creating the ResearchAgent
object to satisfy its constructor requirements.
| <Button | ||
| type="button" | ||
| variant={newResearchMode === 'knowledge' ? 'default' : 'outline'} | ||
| onClick={() => setNewResearchMode('knowledge')} | ||
| > | ||
| 📚 Knowledge | ||
| </Button> | ||
| <Button | ||
| type="button" | ||
| variant={newResearchMode === 'deep' ? 'default' : 'outline'} | ||
| onClick={() => setNewResearchMode('deep')} | ||
| > | ||
| 🧠 Deep | ||
| </Button> | ||
| <Button | ||
| type="button" | ||
| variant={newResearchMode === 'best_in_class' ? 'default' : 'outline'} | ||
| onClick={() => setNewResearchMode('best_in_class')} | ||
| > | ||
| 🏆 Best-in-Class | ||
| </Button> | ||
| </div> |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Improve accessibility for mode selection buttons
The mode selection buttons use emojis which may not be accessible to screen readers. Consider adding aria-labels.
<Button
type="button"
variant={newResearchMode === 'knowledge' ? 'default' : 'outline'}
onClick={() => setNewResearchMode('knowledge')}
+ aria-label="Knowledge research mode"
>
📚 Knowledge
</Button>
<Button
type="button"
variant={newResearchMode === 'deep' ? 'default' : 'outline'}
onClick={() => setNewResearchMode('deep')}
+ aria-label="Deep research mode"
>
🧠 Deep
</Button>
<Button
type="button"
variant={newResearchMode === 'best_in_class' ? 'default' : 'outline'}
onClick={() => setNewResearchMode('best_in_class')}
+ aria-label="Best-in-class research mode"
>
🏆 Best-in-Class
</Button>🤖 Prompt for AI Agents
In sentient-core/frontend/components/chat-interface.tsx around lines 207 to 228,
the mode selection buttons use emojis without aria-labels, which reduces
accessibility for screen readers. Add appropriate aria-label attributes to each
Button component describing the mode (e.g., "Knowledge mode", "Deep mode",
"Best-in-Class mode") to improve accessibility.
| @@ -22,6 +27,13 @@ const ChatInterface = () => { | |||
| const [input, setInput] = useState(''); | |||
| const [isLoading, setIsLoading] = useState(false); | |||
| const [researchMode, setResearchMode] = useState<string | null>(null); | |||
There was a problem hiding this comment.
🛠️ Refactor suggestion
Improve type safety for researchMode state
The researchMode state is typed as string | null but is used with specific mode values. Consider using a union type for better type safety.
- const [researchMode, setResearchMode] = useState<string | null>(null);
+ const [researchMode, setResearchMode] = useState<'knowledge' | 'deep' | 'best_in_class' | null>(null);📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| const [researchMode, setResearchMode] = useState<string | null>(null); | |
| const [researchMode, setResearchMode] = useState<'knowledge' | 'deep' | 'best_in_class' | null>(null); |
🤖 Prompt for AI Agents
In sentient-core/frontend/components/chat-interface.tsx at line 29, the
researchMode state is currently typed as string | null, which is too broad.
Replace the string type with a union of specific allowed mode string literals
(e.g., 'mode1' | 'mode2' | null) to improve type safety and ensure only valid
mode values can be assigned.
| <Input | ||
| id="research-query" | ||
| placeholder="What would you like to research?" | ||
| value={newResearchQuery} | ||
| onChange={(e) => setNewResearchQuery(e.target.value)} | ||
| /> |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add accessibility attributes to input field
The research query input field should have proper accessibility attributes for better screen reader support.
<Input
id="research-query"
placeholder="What would you like to research?"
value={newResearchQuery}
onChange={(e) => setNewResearchQuery(e.target.value)}
+ aria-label="Research query"
+ aria-required="true"
/>📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| <Input | |
| id="research-query" | |
| placeholder="What would you like to research?" | |
| value={newResearchQuery} | |
| onChange={(e) => setNewResearchQuery(e.target.value)} | |
| /> | |
| <Input | |
| id="research-query" | |
| placeholder="What would you like to research?" | |
| value={newResearchQuery} | |
| onChange={(e) => setNewResearchQuery(e.target.value)} | |
| aria-label="Research query" | |
| aria-required="true" | |
| /> |
🤖 Prompt for AI Agents
In sentient-core/frontend/components/chat-interface.tsx around lines 196 to 201,
the Input component for the research query lacks accessibility attributes. Add
appropriate ARIA attributes such as aria-label or aria-labelledby to describe
the input field clearly for screen readers, ensuring it is accessible to all
users.
|
|
||
| return ( | ||
| <div className="flex flex-col h-[calc(100vh-200px)]"> | ||
| <Tabs value={activeTab} onValueChange={(value) => setActiveTab(value as 'chat' | 'research')} className="w-full mb-4"> |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Avoid type assertion in onValueChange handler
The type assertion as 'chat' | 'research' could lead to runtime errors if the tabs component passes an unexpected value.
- <Tabs value={activeTab} onValueChange={(value) => setActiveTab(value as 'chat' | 'research')} className="w-full mb-4">
+ <Tabs value={activeTab} onValueChange={(value) => {
+ if (value === 'chat' || value === 'research') {
+ setActiveTab(value);
+ }
+ }} className="w-full mb-4">📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| <Tabs value={activeTab} onValueChange={(value) => setActiveTab(value as 'chat' | 'research')} className="w-full mb-4"> | |
| <Tabs value={activeTab} onValueChange={(value) => { | |
| if (value === 'chat' || value === 'research') { | |
| setActiveTab(value); | |
| } | |
| }} className="w-full mb-4"> |
🤖 Prompt for AI Agents
In sentient-core/frontend/components/chat-interface.tsx at line 173, remove the
type assertion `as 'chat' | 'research'` in the onValueChange handler to prevent
potential runtime errors from unexpected values. Instead, implement a type-safe
check or validation to ensure the value is either 'chat' or 'research' before
calling setActiveTab, or adjust the Tabs component's typing to guarantee the
value type.
2 participants
SentientCore Comprehensive Test Report
🧪 Test Executions Summary
📊 Detailed Test Results
1. ✅ State Service Tests (7/7 Passed)
Issues:
⚠️ Warning: Could not delete temporary database file (Windows file locking)
2. 🔴 Real System Functionality (3/13 Passed)
Successful Imports:
Failed API Tests:
Root Cause:
FastAPI server not running on port 8000
3. 🟡 Core Functionality (5/8 Passed)
Working Features:
Failures:
Warnings:
4. 🟠 Memory Service Tests
Direct Tests (Passed):
FastAPI Issues:
5. ✅ LLM Service (5/6 Passed)
Successful Operations:
Model Issues:
6. 🔴 Integration Tests
Critical Failure:
Impact:
Blocks all workflow orchestration functionality
🔍 Key Findings
Infrastructure Issues
Server Not Running
All API endpoints failing (ports 8000, 8001, 3001)
Possible causes:
Dependency Problems
Functional Issues
Data Management
🚀 Recommended Actions
Immediate Priorities
# Verify server startup uvicorn app.api.app:app --host 0.0.0.0 --port 8000pip install --upgrade langgraph pip check # Verify dependency treeConfiguration Audit
Technical Debt
Test Improvements
@pytest.mark.parametrize("model", ["gpt-4o-mini", "fallback-model"])📌 Conclusion
Current State:
Core services functional but system integration blocked by server and dependency issues.
Critical Path:
Stability:
⚠️ Production deployment not recommended until:
Summary by CodeRabbit
New Features
Bug Fixes
Documentation
Chores
Refactor
Style