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@smirk-dev smirk-dev commented Oct 25, 2025

  • Added README.md explaining the comprehensive_code_quality_fixer.py tool
  • Includes usage examples, feature descriptions, and before/after comparisons
  • Documents integration with CI/CD and quality assurance workflows

Related to issue #77

🔗 Linked Issue

Closes #

✅ Type of Change

  • ✨ New Project/Feature
  • 🐞 Bug Fix
  • 📚 Documentation Update
  • 🔨 Refactor or Other

📝 Summary

📖 README Checklist

  • I have created a README.md file for my project.
  • My README.md follows the official .github/README_TEMPLATE.md.
  • I have included clear installation and usage instructions in my README.md.
  • I have added a GIF or screenshot to the assets folder and included it in my README.md.

✔️ Contributor Checklist

  • I have read the CONTRIBUTING.md document.
  • My code follows the project's coding standards.
  • I have placed my project in the correct directory (e.g., advance_ai_agents, rag_apps).
  • I have included a requirements.txt or pyproject.toml for dependencies.
  • I have added a .env.example file if environment variables are needed and ensured no secrets are committed.
  • My pull request is focused on a single project or change.

💬 Additional Comments

Summary by CodeRabbit

  • New Features

    • Repository Quality Assurance workflow (security, dependency, docs, and code-quality checks)
    • Health endpoint added to finance service
  • Documentation

    • Large expansion of .env.example files and README/quickstart guides across projects
    • Added migration, README standardization, environment config, and tooling guides
  • Chores

    • New quality tooling and validation scripts; added pyproject manifests for several projects
    • Consolidated repository improvement summary and reports

…pyproject.toml with dependencies and metadata
- Updated .env.example files across multiple projects to include comprehensive environment configuration details, including Nebius API key instructions and optional settings.
- Added pyproject.toml files for modern dependency management in newsletter_agent and crewai_starter projects, ensuring proper project metadata and dependencies are defined.
- Created a new QUICKSTART.md guide for the starter_ai_agents category, providing a structured introduction to AI agent development and framework comparisons.
- Implemented a PowerShell script for automated documentation improvements, ensuring .env.example files are comprehensive and pyproject.toml files are created where necessary.
- Established a GitHub Actions workflow for quality assurance, including documentation checks, dependency analysis, code quality checks, and project structure validation.
…ncluding type hints, logging, error handling, and documentation guidelines.
…jects

- Updated CODE_QUALITY_STANDARDS.md to enhance README standardization guidelines.
- Enhanced code quality in finance_service_agent by adding type hints, logging, and improved error handling.
- Refactored stockNews.py and topStocks.py to include detailed docstrings and structured logging.
- Improved main.py in finance_agent and agno_starter to check for required dependencies and handle errors gracefully.
- Updated README files in agno_starter and crewai_starter for better clarity and installation instructions.
- Created PHASE3_CODE_QUALITY_REPORT.md to document the implementation results and future recommendations.
…nd troubleshooting notes for Calendar Scheduling and DSPy Starter agents
…al settings, and troubleshooting notes for the Finance Service Agent
…g notes, and security guidelines for the Pydantic Starter Agent
…instructions, troubleshooting notes, and security guidelines for the OpenAI Agents SDK
…al settings, and troubleshooting notes for the Reasoning Agent
…al settings, and troubleshooting notes for the Nebius AI integration
…dedicated Python scripts for better maintainability and readability
- Added README.md explaining the comprehensive_code_quality_fixer.py tool
- Includes usage examples, feature descriptions, and before/after comparisons
- Documents integration with CI/CD and quality assurance workflows

Related to issue Arindam200#77
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coderabbitai bot commented Oct 25, 2025

Walkthrough

Repository-wide improvement initiative adding documentation standards, environment config templates, dependency migration tooling (pip→uv), multiple code-quality tools and scripts, PowerShell orchestration, Python validation utilities, CI workflow for quality checks, and targeted refactors/enhancements in several agent projects (logging, factory patterns, env examples, pyproject manifests).

Changes

Cohort / File(s) Summary
Repository Improvement Docs
.github/implementation/IMPROVEMENT_SUMMARY.md, .github/implementation/PHASE3_CODE_QUALITY_REPORT.md
New high-level summary and Phase 3 code quality report describing objectives, phases, metrics, created resources, and next steps.
Standards & Guides
.github/standards/README_STANDARDIZATION_GUIDE.md, .github/standards/ENVIRONMENT_CONFIG_STANDARDS.md, .github/standards/UV_MIGRATION_GUIDE.md
Adds README, environment, and uv-migration standards and templates, including pyproject examples and migration checklists.
PowerShell Orchestration Scripts
.github/scripts/migrate-to-uv.ps1, .github/scripts/standardize-documentation.ps1, .github/scripts/improve-docs.ps1, .github/scripts/apply-code-quality.ps1
New PS scripts for uv migration, doc standardization, docs enhancements, and code-quality metric collection; include logging, dry-run modes, and per-project update flows.
Python Validation & Analysis Scripts
.github/scripts/analyze-dependencies.py, .github/scripts/check-hardcoded-secrets.py, .github/scripts/parse-bandit-report.py, .github/scripts/validate-env-examples.py, .github/scripts/validate-project-structure.py
Adds utilities to analyze dependency modernity, detect hardcoded secrets, parse Bandit JSON, validate .env.example files, and verify project structure/compliance.
Code Quality Tools
.github/tools/README.md, .github/tools/code_quality_enhancer.py, .github/tools/comprehensive_code_quality_fixer.py
Adds a documented AST-based CodeQualityEnhancer and a ComprehensiveCodeQualityFixer with analysis and optional automatic fixes (imports, logging, docstrings, whitespace, env enhancements).
CI Workflow
.github/workflows/quality-assurance.yml
New GitHub Actions workflow running documentation, dependency, code-quality, and project-structure checks, aggregating results into a generated quality-report artifact.
Documentation Templates / Utilities
.github/standards/*, .github/tools/*, .github/implementation/*
Multiple new docs, README templates, and tool READMEs centralizing standards and tooling usage.
Agent Projects — Finance Service
advance_ai_agents/finance_service_agent/.env.example, .../app.py, .../controllers/*.py, .../routes/*.py, .../utils/redisCache.py
Introduces factory-style app creation (create_app()), health endpoint, centralized logging across modules, env validation, improved error handling, and enriched .env.example.
Agent Projects — Simple & Starter Agents
rag_apps/simple_rag/.env.example, simple_ai_agents/*/.env.example, simple_ai_agents/newsletter_agent/pyproject.toml, simple_ai_agents/finance_agent/main.py, starter_ai_agents/*
Adds or expands many .env.example templates, adds pyproject.toml for some agents, refactors startup flows (lazy/dependency-aware initialization), and adds QUICKSTART/README enhancements.

Sequence Diagram(s)

sequenceDiagram
    participant Push as Push / PR / Schedule
    participant QA as GitHub Actions (quality-assurance)
    participant Docs as documentation-quality
    participant Deps as dependency-analysis
    participant Code as code-quality
    participant Struct as project-structure
    participant Sum as generate-summary

    Push->>QA: trigger workflow
    QA->>Docs: run markdownlint\nvalidate .env examples
    QA->>Deps: analyze dependencies\nattempt uv/pip sync checks
    QA->>Code: run ruff, mypy, bandit\ncheck-hardcoded-secrets
    QA->>Struct: validate project structure
    par Parallel
        Docs->>Sum: send status
        Deps->>Sum: send status
        Code->>Sum: send status
        Struct->>Sum: send status
    end
    Sum->>Sum: generate quality-report.md\nupload artifact
    Sum->>Push: provide summary
Loading

Estimated code review effort

🎯 4 (Complex) | ⏱️ ~45–75 minutes

Areas requiring extra attention:

  • .github/scripts/migrate-to-uv.ps1 — dependency parsing, pyproject generation, and category inference logic.
  • .github/tools/code_quality_enhancer.py and .github/tools/comprehensive_code_quality_fixer.py — AST transformations, import sorting, and in-place fix behavior (dry-run vs apply).
  • .github/workflows/quality-assurance.yml — job orchestration, tool installation, artifact assembly, and failure handling.
  • advance_ai_agents/finance_service_agent/ — app factory changes and cross-file logging consistency.
  • starter_ai_agents/agno_starter/main.py and simple_ai_agents/finance_agent/main.py — new initialization flows and runtime dependency checks.

Possibly related issues

Possibly related PRs

Suggested labels

enhancement

Suggested reviewers

  • Arindam200
  • shivaylamba

Poem

🐰 Hop, tidy, and test with a cheer,
Scripts and guides now draw near,
Env keys lined in neat array,
Logs and health checks save the day —
A rabbit's tidy repo bouquet.

Pre-merge checks and finishing touches

❌ Failed checks (1 inconclusive)
Check name Status Explanation Resolution
Title Check ❓ Inconclusive The pull request title "Refactor" is a non-descriptive, generic term that fails to convey meaningful information about the changeset. This PR introduces an extensive, multi-faceted set of changes including repository-wide documentation standards, new code quality tools and utilities, automated scripts for dependency management and migration, environment configuration templates, updated agent implementations, and a comprehensive GitHub Actions workflow. The title does not indicate the primary purpose or scope of these changes, making it impossible for reviewers scanning the history to understand the intent of this significant contribution. Consider revising the title to be more specific and descriptive of the main initiative. A better title might be something like "Add repository-wide quality assurance framework with standards and automation tools" or "Implement comprehensive code quality and documentation standardization initiative" to clearly communicate the primary changes and help maintainers understand the intent at a glance.
✅ Passed checks (2 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Docstring Coverage ✅ Passed Docstring coverage is 97.56% which is sufficient. The required threshold is 80.00%.
✨ Finishing touches
  • 📝 Generate docstrings
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Post copyable unit tests in a comment

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Actionable comments posted: 32

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (6)
advance_ai_agents/finance_service_agent/controllers/ask.py (1)

46-56: Add return type annotation and improve input validation.

The function has two issues:

  1. Missing return type annotation
  2. Input validation if not query doesn't verify the type is a string, which could cause runtime errors

Apply this diff:

-def nebius_chat(query: str):
+def nebius_chat(query: str) -> Dict[str, Any]:
+    if not isinstance(query, str):
+        return {"error": "Query must be a string"}
     if not query:
         return {"error": "Query parameter is required"}
     
     try:
         response = chat_agent.run(query)
         answer = response.content
         return {"question": query, "answer": answer}
     
     except Exception as e:
         return {"error": str(e)}
advance_ai_agents/finance_service_agent/controllers/agents.py (1)

27-31: Remove duplicate import.

Agent is imported twice from agno.agent (lines 27 and 31).

Apply this diff:

 # AI assistant imports
-from agno.agent import Agent
 from agno.models.nebius import Nebius
 from agno.tools.yfinance import YFinanceTools
 from agno.tools.duckduckgo import DuckDuckGoTools
 from agno.agent import Agent, RunResponse
advance_ai_agents/finance_service_agent/utils/redisCache.py (1)

39-47: Gracefully handle missing/invalid REDIS_URL and log instead of printing

If REDIS_URL is unset or invalid, routes depending on the cache currently break on None. Short-circuit the lifespan and keep the app running without cache.

 async def lifespan(_: FastAPI):
     redis_client = None  
 
     try:
-        redis_client = aioredis.from_url(REDIS_URL, encoding="utf-8", decode_responses=True)
+        if not REDIS_URL:
+            logger.warning("REDIS_URL not set; cache disabled.")
+            yield
+            return
+        redis_client = aioredis.from_url(REDIS_URL, encoding="utf-8", decode_responses=True)
         FastAPICache.init(RedisBackend(redis_client), prefix="fastapi-cache")
-        logger.info("✅ Redis cache initialized successfully!")
+        logger.info("✅ Redis cache initialized successfully!")
         yield
     
     except Exception as e:
-        print(f"❌ Redis Connection Error: {e}")
+        logger.exception("❌ Redis Connection Error")
         yield 
advance_ai_agents/finance_service_agent/routes/stockRoutes.py (3)

49-49: Broaden cache type and handle absence gracefully

get_cache may return None or a different backend. Loosen the annotation and guard cache usage to avoid 500s when Redis isn’t configured.

-async def read_top_stocks(request: Request, cache: RedisBackend = Depends(get_cache)):
+async def read_top_stocks(request: Request, cache: Any = Depends(get_cache)):
-async def stock_news(request: Request, cache: RedisBackend = Depends(get_cache)):
+async def stock_news(request: Request, cache: Any = Depends(get_cache)):
-async def read_stock(request: Request, symbol: str, cache: RedisBackend = Depends(get_cache)):
+async def read_stock(request: Request, symbol: str, cache: Any = Depends(get_cache)):
-async def get_stock_analysis(request: Request, symbol: str, cache: RedisBackend = Depends(get_cache)):
+async def get_stock_analysis(request: Request, symbol: str, cache: Any = Depends(get_cache)):

Also applies to: 76-76, 103-103, 133-133


51-58: Make caching optional when backend is unavailable

Guard cache get/set to prevent attribute errors when Redis is not initialized.

-    cached_result = await cache.get(cache_key)
+    cached_result = await cache.get(cache_key) if cache else None
@@
-        await cache.set(cache_key, json.dumps(result), 10)
+        if cache:
+            await cache.set(cache_key, json.dumps(result), 10)
-    cached_result = await cache.get(cache_key)
+    cached_result = await cache.get(cache_key) if cache else None
@@
-        await cache.set(cache_key, json.dumps(result), 300)
+        if cache:
+            await cache.set(cache_key, json.dumps(result), 300)
-    cached_result = await cache.get(cache_key)
+    cached_result = await cache.get(cache_key) if cache else None
@@
-        await cache.set(cache_key, json.dumps(result), 10)
+        if cache:
+            await cache.set(cache_key, json.dumps(result), 10)
-        cached_result = await cache.get(cache_key)
+        cached_result = await cache.get(cache_key) if cache else None
-            await cache.set(cache_key, json.dumps(result), 300)
+            if cache:
+                await cache.set(cache_key, json.dumps(result), 300)

Also applies to: 78-85, 106-113, 141-144, 163-164


147-148: Avoid blocking the event loop: offload sync agent.run()

Agent.run is synchronous and performs I/O. Run it in a threadpool to keep the async endpoint responsive.

-from controllers.stockAgent import stock_analyzer_agent, extract_json_from_response, create_default_stock_data, merge_stock_data
+from controllers.stockAgent import stock_analyzer_agent, extract_json_from_response, create_default_stock_data, merge_stock_data
+from starlette.concurrency import run_in_threadpool
-            response = stock_analyzer_agent.run(prompt)
+            response = await run_in_threadpool(stock_analyzer_agent.run, prompt)

Also applies to: 7-7

🧹 Nitpick comments (57)
starter_ai_agents/pydantic_starter/.env.example (1)

90-90: Add a trailing newline at the end of the file.

POSIX compliance and many linters expect a final newline character at the end of text files.

Apply this diff to add a trailing newline:

 # Support:
 # - Pydantic Documentation: https://docs.pydantic.dev/
 # - Issues: https://github.com/Arindam200/awesome-ai-apps/issues
 # - Community: Join discussions in GitHub issues
+
advance_ai_agents/finance_service_agent/controllers/ask.py (3)

1-5: Update the placeholder module docstring.

The docstring contains generic placeholder text. Consider updating it to describe the module's actual purpose.

Apply this diff:

 """
-Ask
+Finance Service Agent - Ask Controller

-Module description goes here.
+Provides chat functionality for the finance service agent using Nebius AI.
+Handles user queries about investments and financial advice.
 """

7-7: Remove unused type imports.

The imports List, Optional, Union, and Any are not used in this module.

Apply this diff:

-from typing import List, Dict, Optional, Union, Any
+from typing import Dict, Any

13-25: Logger is configured but never used.

The logging configuration is set up, but the logger instance is never used in the code. Consider either using it in the nebius_chat function to log queries and errors, or removing the unused configuration.

If you want to use logging, apply these changes:

 def nebius_chat(query: str):
+    logger.info(f"Received query: {query[:100]}...")  # Log first 100 chars
     if not query:
+        logger.warning("Empty query received")
         return {"error": "Query parameter is required"}
     
     try:
         response = chat_agent.run(query)
         answer = response.content
+        logger.info("Successfully generated response")
         return {"question": query, "answer": answer}
     
     except Exception as e:
+        logger.error(f"Error processing query: {str(e)}", exc_info=True)
         return {"error": str(e)}
starter_ai_agents/agno_starter/main.py (4)

13-13: Remove unused import.

The sys module is imported but never used in the code. The main() function uses return instead of sys.exit().

Apply this diff:

-import sys

41-41: Consider making the log file path configurable.

The log file is hardcoded to 'tech_analyst.log' in the current working directory. For better flexibility, consider:

  • Using an environment variable for the log file path
  • Creating logs in a dedicated logs/ directory
  • Using a standard location like ~/.cache/ or temp directory

Example:

+import pathlib
+
+# Create logs directory if it doesn't exist
+log_dir = pathlib.Path('logs')
+log_dir.mkdir(exist_ok=True)
+
 logging.basicConfig(
     level=logging.INFO,
     format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
     handlers=[
-        logging.FileHandler('tech_analyst.log'),
+        logging.FileHandler(log_dir / 'tech_analyst.log'),
         logging.StreamHandler()
     ]
 )

112-112: Remove or document the commented-out parameter.

The memory=True parameter is commented out without explanation. Either remove it if not needed, or add a TODO comment explaining why it's disabled and when it should be enabled.

Options:

-            # memory=True,  # Enable memory for context retention

Or with explanation:

-            # memory=True,  # Enable memory for context retention
+            # TODO: Enable memory=True once persistence backend is configured

191-195: Remove redundant None check.

The check if agent is not None: is unnecessary because create_agent() either returns an agent or raises an exception—it never returns None. Once the return type is corrected (as suggested earlier), this defensive check becomes redundant.

Apply this diff:

                 # Get agent response
-                if agent is not None:
-                    agent.print_response(user_input)
-                    logger.info("Response generated successfully")
-                else:
-                    print("Agent is not available. Please check agno framework installation.")
+                agent.print_response(user_input)
+                logger.info("Response generated successfully")
advance_ai_agents/finance_service_agent/controllers/agents.py (2)

1-5: Complete the module docstring.

The placeholder text should be replaced with a meaningful description of this module's purpose and functionality.

Apply this diff:

 """
-Agents
+Finance Service Agent Controllers

-Module description goes here.
+Defines AI agents for financial analysis and web search capabilities.
+Includes web_search_agent, financial_agent, and multi_ai team configuration.
 """

14-21: Consider moving logging configuration to application entry point.

Calling logging.basicConfig() at the module level can cause issues when multiple modules configure logging or when the application already has a logging setup. The first call to basicConfig() takes effect, and subsequent calls are ignored.

For better control and flexibility, consider:

  • Moving this configuration to the main application entry point (e.g., main.py or app.py)
  • Or using a dedicated logging configuration file
  • Controllers should only create loggers, not configure the entire logging system

If centralized configuration is not feasible, you can make this configuration conditional:

-# Configure logging
-logging.basicConfig(
-    level=logging.INFO,
-    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
-    handlers=[
-        logging.FileHandler('app.log'),
-        logging.StreamHandler()
-    ]
-)
+# Configure logging (only if not already configured)
+if not logging.getLogger().handlers:
+    logging.basicConfig(
+        level=logging.INFO,
+        format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+        handlers=[
+            logging.FileHandler('app.log'),
+            logging.StreamHandler()
+        ]
+    )
simple_ai_agents/cal_scheduling_agent/.env.example (1)

105-105: Add newline at end of file.

The file is missing a trailing newline, which is recommended by POSIX standards and expected by many tools.

.github/scripts/parse-bandit-report.py (1)

7-7: Consider adding type hints for consistency.

While not critical for this script, adding return type hints would align with the code quality standards documented in PHASE3_CODE_QUALITY_REPORT.md.

Apply this diff:

-def main():
+def main() -> None:
     """Parse bandit JSON report and display security issues."""
advance_ai_agents/finance_service_agent/.env.example (1)

118-118: Add newline at end of file.

The file is missing a trailing newline, which is recommended by POSIX standards.

starter_ai_agents/dspy_starter/.env.example (1)

1-95: Add final newline for POSIX compliance.

The file is missing a blank line at the end, which is a POSIX text file standard and helps with consistent file handling across tools.

Apply this fix by adding a single blank line after line 95.

starter_ai_agents/openai_agents_sdk/.env.example (1)

1-112: Add final newline for POSIX compliance.

The file is missing a blank line at the end. Adding it ensures compliance with POSIX text file standards and consistent tool handling.

Add a single blank line after line 112.

.github/scripts/analyze-dependencies.py (2)

28-29: Add exception handling for file operations.

Reading the pyproject.toml file without exception handling could cause the script to crash if the file is corrupted, has encoding issues, or is locked by another process.

Apply this diff to add error handling:

         if os.path.exists(pyproject_path):
-            with open(pyproject_path, 'r') as f:
-                content = f.read()
+            try:
+                with open(pyproject_path, 'r', encoding='utf-8') as f:
+                    content = f.read()
+            except Exception as e:
+                print(f'⚠ {project} - Error reading pyproject.toml: {e}')
+                continue
+                
             if 'requires-python' in content and 'hatchling' in content:

30-30: Broaden the modernization criteria to include other valid build backends.

The current check only recognizes hatchling as a modern build backend, but other modern systems like setuptools>=61 (with declarative metadata), poetry-core, flit-core, and pdm-backend are equally valid for modern Python projects.

Consider updating the criteria:

-            if 'requires-python' in content and 'hatchling' in content:
+            # Check for modern build backend
+            modern_backends = ['hatchling', 'poetry-core', 'flit-core', 'pdm-backend', 
+                             'setuptools>=61', 'setuptools >=']
+            has_modern_backend = any(backend in content for backend in modern_backends)
+            
+            if 'requires-python' in content and has_modern_backend:
                 print(f' {project} - Modern pyproject.toml')

This provides a more accurate assessment of modernization across different tooling choices.

.github/scripts/check-hardcoded-secrets.py (2)

13-18: Consider expanding secret detection patterns.

The current patterns cover basic cases (api_key, password, secret, token) but miss common secret types like AWS keys, private keys, database URLs, and bearer tokens. Additionally, the patterns might generate false positives for legitimate code comments or documentation.

Consider these enhancements:

 secret_patterns = [
     r'api[_-]?key\s*=\s*["\'][^"\']+["\']',
     r'password\s*=\s*["\'][^"\']+["\']',
     r'secret\s*=\s*["\'][^"\']+["\']',
     r'token\s*=\s*["\'][^"\']+["\']',
+    r'bearer\s+[A-Za-z0-9\-._~+/]+=*',
+    r'AKIA[0-9A-Z]{16}',  # AWS Access Key
+    r'-----BEGIN\s+(?:RSA\s+)?PRIVATE\s+KEY-----',  # Private keys
+    r'mongodb(\+srv)?://[^\s]+',  # MongoDB connection strings
 ]

40-46: Add exit code to indicate secret detection for CI/CD integration.

The script currently exits with code 0 even when secrets are detected. For CI/CD integration (as mentioned in the related quality-assurance workflow), the script should exit with a non-zero code when potential secrets are found.

     if issues_found == 0:
         print('✓ No hardcoded secrets detected')
     else:
         print(f'Found {issues_found} potential hardcoded secrets')
+        exit(1)  # Fail CI/CD pipeline if secrets found
 
 if __name__ == '__main__':
     main()
simple_ai_agents/newsletter_agent/pyproject.toml (1)

12-17: Align dependency version constraints with repository standards.

The current dependency declarations use unbounded >= constraints, which allows breaking changes in future major versions. This contradicts the UV Migration Guide standards that recommend constraining major versions for reproducibility.

Based on the UV_MIGRATION_GUIDE.md standards, apply these constraints:

 dependencies = [
-    "agno>=1.5.1",
-    "openai>=1.78.1",
-    "python-dotenv>=1.1.0",
-    "requests>=2.31.0",
+    "agno>=1.5.1,<2.0.0",
+    "openai>=1.78.1,<2.0.0",
+    "python-dotenv>=1.1.0,<2.0.0",
+    "requests>=2.31.0,<3.0.0",
 ]

Based on learnings from .github/standards/UV_MIGRATION_GUIDE.md lines 179-202.

.github/standards/ENVIRONMENT_CONFIG_STANDARDS.md (2)

482-528: Environment validation script looks good.

The validation script provides a solid foundation for checking required environment variables. The logic correctly handles missing variables and provides clear user feedback.

Consider adding an optional enhancement to show how to integrate this with application startup:

# In your main application file (e.g., app.py or main.py)
if __name__ == "__main__":
    # Validate environment before starting
    if not validate_environment():
        sys.exit(1)
    
    # Continue with application startup
    app.run()

16-199: Reconsider quote usage in .env.example templates.

The templates consistently show environment variable values wrapped in quotes (e.g., NEBIUS_API_KEY="your_nebius_api_key_here"). While this works, it's inconsistent with common .env file practices where quotes are typically only used when values contain spaces or special characters. The static analysis tool (dotenv-linter) has flagged this pattern in the actual .env.example files.

Consider using unquoted placeholders for simple values:

-NEBIUS_API_KEY="your_nebius_api_key_here"
+NEBIUS_API_KEY=your_nebius_api_key_here

-APP_ENV="development"
+APP_ENV=development

Keep quotes only when necessary:

APP_TITLE="My App Name"  # Contains spaces, quotes needed
SECRET_KEY=your_generated_secret_key_here  # No spaces, quotes optional

This aligns with standard .env file conventions and eliminates static analysis warnings.

starter_ai_agents/agno_starter/.env.example (1)

18-18: Consider removing unnecessary quotes from placeholder values.

The dotenv-linter tool flags the use of quotes around the placeholder value. While functional, quotes are typically unnecessary for simple alphanumeric placeholder values in .env files and can be confusing for users.

This aligns with the recommendation made for ENVIRONMENT_CONFIG_STANDARDS.md. Consider:

-NEBIUS_API_KEY="your_nebius_api_key_here"
+NEBIUS_API_KEY=your_nebius_api_key_here
.github/standards/UV_MIGRATION_GUIDE.md (1)

152-162: Consider providing tiered mypy configuration options.

The template includes a very strict mypy configuration with disallow_untyped_defs, disallow_any_generics, and disallow_incomplete_defs all set to true. While excellent for production code, this may be challenging for starter/learning projects and could discourage newcomers.

Consider adding a comment about adjusting strictness for different project types:

 [tool.mypy]
 python_version = "3.10"
+# For starter/learning projects, consider setting these to false initially:
+# - disallow_untyped_defs
+# - disallow_incomplete_defs  
+# - disallow_any_generics
 check_untyped_defs = true
 disallow_any_generics = true

Or provide separate templates for "Starter" vs "Production" configurations.

.github/scripts/improve-docs.ps1 (2)

104-139: Add warning about generated pyproject.toml requiring manual review.

The script generates a pyproject.toml with hardcoded dependencies (lines 122-125) that may not match the actual project requirements. While this may be suitable for the specific "key projects" listed in the script, it could lead to issues if used on other projects.

Add a warning message and comment in the generated file:

             $PyProject = @"
 [project]
 name = "$SafeName"
 version = "0.1.0"
 description = "AI agent application built with modern Python tools"
+# NOTE: This file was auto-generated. Please review and update dependencies.
 authors = [
     {name = "Arindam Majumder", email = "[email protected]"}
 ]

And in the script output:

             Set-Content -Path $PyProjectPath -Value $PyProject -Encoding UTF8
-            Write-Log "  pyproject.toml created"
+            Write-Log "  pyproject.toml created - MANUAL REVIEW REQUIRED"
+            Write-Log "  Please verify dependencies match requirements.txt"

144-171: Consider adding path validation and error handling.

The script assumes it's run from the repository root but doesn't validate this. Adding a check would prevent unexpected behavior.

+# Validate we're in the repository root
+if (-not (Test-Path ".git")) {
+    Write-Log "ERROR: This script must be run from the repository root"
+    exit 1
+}
+
 # Main execution
 if ($ProjectPath -ne "") {
     Update-SingleProject -Path $ProjectPath

Additionally, consider wrapping the Update-SingleProject function content in try-catch to handle file I/O errors gracefully.

simple_ai_agents/finance_agent/main.py (2)

34-41: Consider making the log file path configurable.

The hardcoded log file path 'finance_agent.log' could benefit from environment-based configuration for deployment flexibility.

Optional enhancement:

+LOG_FILE = os.getenv("LOG_FILE", "finance_agent.log")
+
 logging.basicConfig(
     level=logging.INFO,
     format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
     handlers=[
-        logging.FileHandler('finance_agent.log'),
+        logging.FileHandler(LOG_FILE),
         logging.StreamHandler()
     ]
 )

50-102: Type hint could be more precise.

The return type Optional[Any] is overly broad. Consider using Optional[Agent] for better type safety and IDE support.

Apply this diff:

-def create_finance_agent() -> Optional[Any]:
+def create_finance_agent() -> Optional["Agent"]:
     """Create and configure the AI finance agent.
     
     Returns:
-        Agent: Configured finance agent with tools and model, or None if dependencies unavailable
+        Optional[Agent]: Configured finance agent with tools and model, or None if dependencies unavailable

Note: Using string quotes for forward reference if Agent is conditionally imported.

.github/tools/code_quality_enhancer.py (1)

29-39: Consider parameterizing the log file name.

Similar to other files in this PR, the hardcoded log file path could benefit from configurability for different environments.

Optional enhancement:

-    def _setup_logging(self) -> logging.Logger:
+    def _setup_logging(self, log_file: str = 'code_quality_enhancement.log') -> logging.Logger:
         """Setup logging configuration."""
         logging.basicConfig(
             level=logging.INFO,
             format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
             handlers=[
-                logging.FileHandler('code_quality_enhancement.log'),
+                logging.FileHandler(log_file),
                 logging.StreamHandler()
             ]
         )
advance_ai_agents/finance_service_agent/controllers/stockAgent.py (4)

39-43: Avoid creating a FastAPI app inside a controller module

This object isn’t used here and can confuse app assembly or tests. Define the app in a single composition module and include routers/controllers there.

-app = FastAPI(
-    title="Stock Analysis API",
-    description="API for fetching detailed stock analysis information",
-    version="1.0.0"
-)

116-116: Replace print with logger to keep observability consistent

Use the module logger instead of prints.

-                print(f"Failed to parse JSON from markdown code block")
+                logger.warning("Failed to parse JSON from markdown code block")
-                print(f"Failed to parse JSON from pattern match")
+                logger.warning("Failed to parse JSON from pattern match")

Also applies to: 130-130


170-171: Use deep copy to avoid mutating caller’s nested structures

default_data.copy() is shallow; nested dicts remain shared.

-    result = default_data.copy()
+    result = copy.deepcopy(default_data)

Add once near imports:

+import copy

36-37: Avoid import-time crashes on missing NEBIUS_API_KEY; lazily init the agent

Raising ValueError at import and constructing the Agent at import make test and tooling imports brittle. Prefer lazy/guarded init (at startup or first use) and return a 503 if unavailable.

Would you like a small patch that introduces get_stock_analyzer_agent() with cached lazy init and updates routes to call it?

Also applies to: 82-96

advance_ai_agents/finance_service_agent/utils/redisCache.py (1)

53-55: Use logger for teardown errors

Replace prints with logger for consistency and stack traces.

-                logger.info("🔴 Redis connection closed!")
+                logger.info("🔴 Redis connection closed!")
         except Exception as e:
-            print(f"❌ Error while closing Redis: {e}")
+            logger.exception("❌ Error while closing Redis")
simple_ai_agents/finance_agent/.env.example (1)

18-18: Satisfy dotenv-linter: unquote value and add trailing newline

Align with the linter output to keep CI green. Quotes can be omitted for placeholders.

Based on static analysis hints

-NEBIUS_API_KEY="your_nebius_api_key_here"
+NEBIUS_API_KEY=your_nebius_api_key_here
+

Also applies to: 84-84

.github/scripts/validate-project-structure.py (2)

31-33: Ignore hidden/system directories to reduce false positives

Limit projects to visible directories and skip common non-project folders.

-        projects = [d for d in os.listdir(category) if os.path.isdir(os.path.join(category, d))]
+        projects = [
+            d for d in os.listdir(category)
+            if os.path.isdir(os.path.join(category, d))
+            and not d.startswith('.')
+            and d not in {'__pycache__', 'node_modules', '.venv', 'templates'}
+        ]

58-66: Handle empty repository gracefully and make threshold configurable

Avoid failing CI when no projects are found and allow tuning compliance threshold.

-    compliance_rate = (compliant_projects / total_projects) * 100 if total_projects else 0
+    compliance_rate = (compliant_projects / total_projects) * 100 if total_projects else 100
     print(f'Overall compliance: {compliance_rate:.1f}% ({compliant_projects}/{total_projects})')
     
-    if compliance_rate < 90:
+    threshold = int(os.getenv('PROJECT_STRUCTURE_THRESHOLD', '90'))
+    if total_projects == 0:
+        print('No projects found in defined categories; skipping enforcement')
+        sys.exit(0)
+    if compliance_rate < threshold:
         print(' Project structure compliance below 90%')
         sys.exit(1)
     else:
         print(' Good project structure compliance')
advance_ai_agents/finance_service_agent/app.py (2)

17-25: Centralize logging; avoid per-module basicConfig and file handlers.

basicConfig at import-time with a FileHandler can duplicate handlers under Uvicorn/Gunicorn and write to non-writable FS. Prefer a single setup (stdout) in the entrypoint or rely on Uvicorn logging.

Apply:

-logging.basicConfig(
-    level=logging.INFO,
-    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
-    handlers=[
-        logging.FileHandler('finance_service.log'),
-        logging.StreamHandler()
-    ]
-)
+if not logging.getLogger().handlers:
+    logging.basicConfig(
+        level=logging.INFO,
+        format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+        handlers=[logging.StreamHandler()]
+    )

70-81: Avoid hardcoding version; surface app.version.

Keeps /health consistent with app metadata.

Apply:

-@app.get("/health")
-async def health_check() -> dict:
+@app.get("/health")
+async def health_check() -> dict:
@@
-        "version": "1.0.0"
+        "version": app.version
     }
.github/scripts/validate-env-examples.py (1)

9-10: Harden script I/O and exit handling.

Use explicit UTF‑8 and sys.exit for CI friendliness.

Apply:

@@
-    with open(file_path, 'r') as f:
+    with open(file_path, 'r', encoding='utf-8', errors='replace') as f:
@@
-        print(f'Too many documentation issues ({total_issues})')
-        exit(1)
+        print(f'Too many documentation issues ({total_issues})')
+        import sys
+        sys.exit(1)

Also applies to: 39-41

advance_ai_agents/finance_service_agent/controllers/stockNews.py (2)

17-25: Avoid per-module basicConfig and file writes.

Same logging concern as app.py; centralize logging and prefer stdout only.

Apply:

-logging.basicConfig(
-    level=logging.INFO,
-    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
-    handlers=[
-        logging.FileHandler('app.log'),
-        logging.StreamHandler()
-    ]
-)
+if not logging.getLogger().handlers:
+    logging.basicConfig(
+        level=logging.INFO,
+        format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+        handlers=[logging.StreamHandler()]
+    )

37-41: Remove unused requests Session (or use it).

Session is configured but never used in this module.

Apply:

-session = requests.Session()
-session.headers.update({
-    "User-Agent": "Chrome/122.0.0.0"
-})
+# HTTP session not required here; using finnhub SDK client instead.
advance_ai_agents/finance_service_agent/controllers/topStocks.py (3)

15-23: Centralize logging; avoid file handlers here too.

Keep logging setup in one place; modules should just getLogger(__name__).

Apply:

-logging.basicConfig(
-    level=logging.INFO,
-    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
-    handlers=[
-        logging.FileHandler('app.log'),
-        logging.StreamHandler()
-    ]
-)
+if not logging.getLogger().handlers:
+    logging.basicConfig(
+        level=logging.INFO,
+        format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+        handlers=[logging.StreamHandler()]
+    )

70-83: Speed up per‑ticker info retrieval.

Ticker.info is slow and fragile. Prefer fast_info with fallbacks.

Apply:

-                info = tickers.tickers[stock_symbol].info
-                stock_info = {
-                    'symbol': stock_symbol,
-                    'name': info.get('shortName', 'N/A'),
-                    'currentPrice': info.get('currentPrice', 'N/A'),
-                    'previousClose': info.get('previousClose', 'N/A'),
-                    'sector': info.get('sector', 'N/A')
-                }
+                tkr = tickers.tickers[stock_symbol]
+                fi = getattr(tkr, "fast_info", None)
+                info = {}
+                try:
+                    info = tkr.get_info()  # safer wrapper; still may be slow
+                except Exception:
+                    pass
+                stock_info = {
+                    'symbol': stock_symbol,
+                    'name': info.get('shortName', 'N/A'),
+                    'currentPrice': (getattr(fi, "last_price", None) if fi else None) or info.get('currentPrice', 'N/A'),
+                    'previousClose': (getattr(fi, "previous_close", None) if fi else None) or info.get('previousClose', 'N/A'),
+                    'sector': info.get('sector', 'N/A')
+                }

118-120: Avoid sleeping on the error path.

Sleeping in request handling increases latency and ties up workers. Prefer returning promptly and letting callers retry with backoff.

Apply:

-        logger.error(f"❌ Error fetching {symbol}: {e}")
-        time.sleep(5)
-        return {}
+        logger.error(f"❌ Error fetching {symbol}: {e}")
+        return {}
.github/workflows/quality-assurance.yml (1)

99-102: Run Safety since it’s installed.

Add a step to actually scan dependencies.

Apply:

     - name: Install analysis tools
       run: |
         pip install ruff mypy bandit safety
+
+    - name: Vulnerability scan with Safety
+      run: |
+        echo "Running Safety vulnerability scan..."
+        safety check --full-report || echo "Vulnerabilities found"
.github/scripts/standardize-documentation.ps1 (11)

7-11: Promote to an advanced script; add -WhatIf/-Confirm and validate Category.

Adopt CmdletBinding, keep -DryRun for now but prefer -WhatIf long-term; validate Category to avoid typos.

+[CmdletBinding(SupportsShouldProcess=$true, ConfirmImpact='Low')]
 param(
-    [string]$Category = "all",  # Which category to process: starter, simple, rag, advance, mcp, memory, all
-    [switch]$DryRun = $false,  # Preview changes without applying them
-    [switch]$Verbose = $false  # Show detailed output
+    [ValidateSet('starter','simple','rag','advance','mcp','memory','all')]
+    [string]$Category = 'all',  # Which category to process
+    [switch]$DryRun,            # Preview without applying (consider replacing with -WhatIf)
+    [switch]$Verbose            # Use Write-Verbose for details
 )

13-17: Enable strict mode/stop-on-error and drop unused vars.

Harden script and remove dead config entries.

-# Configuration
-$RepoRoot = Get-Location
-$StandardsDir = ".github\standards"
-$LogFile = "documentation_upgrade.log"
+$ErrorActionPreference = 'Stop'
+Set-StrictMode -Version Latest
+
+# Configuration
+$LogFile = "documentation_upgrade.log"

29-35: Harden logging; avoid Write-Host and ensure file exists.

Use Write-Information, validate Level, and create the log file if missing.

-function Write-Log {
-    param([string]$Message, [string]$Level = "INFO")
+function Write-Log {
+    [CmdletBinding()]
+    param(
+        [Parameter(Mandatory)]
+        [string]$Message,
+        [ValidateSet('INFO','WARNING','ERROR','DEBUG')]
+        [string]$Level = 'INFO'
+    )
     $Timestamp = Get-Date -Format "yyyy-MM-dd HH:mm:ss"
     $LogEntry = "[$Timestamp] [$Level] $Message"
-    Write-Host $LogEntry
-    Add-Content -Path $LogFile -Value $LogEntry
+    Write-Information $LogEntry
+    if (-not (Test-Path -LiteralPath $LogFile)) { New-Item -ItemType File -Path $LogFile -Force | Out-Null }
+    Add-Content -Path $LogFile -Value $LogEntry
 }

38-46: Don’t call exit inside a function; throw instead.

Exit terminates the host/runner; throwing is safer and catchable.

-            Write-Error "Required file $file not found. Please run this script from the repository root."
-            exit 1
+            throw "Required file '$file' not found. Please run this script from the repository root."

179-186: Avoid quota claims that will stale.

Replace hard-coded “Free tier” text with a durable note.

-# Free tier: 100 requests/minute
+# Note: Free tiers/quotas change frequently—check provider docs for current limits

315-318: Prefer Write-Verbose over custom $Verbose gates.

Leverage common -Verbose for consistency.

-    if ($Verbose) {
-        Write-Log "  README issues: $($ReadmeQuality.Issues -join ', ')"
-        Write-Log "  .env.example issues: $($EnvQuality.Issues -join ', ')"
-    }
+    Write-Verbose ("  README issues: {0}" -f ($ReadmeQuality.Issues -join ', '))
+    Write-Verbose ("  .env.example issues: {0}" -f ($EnvQuality.Issues -join ', '))

Also add [CmdletBinding()] inside Update-Project to enable Write-Verbose:

-function Update-Project {
+function Update-Project {
+    [CmdletBinding()]

362-365: Replace exit with throw for invalid category.

Terminate with an exception so callers/CI can catch.

-        Write-Error "Invalid category: $Category. Valid options: $($Categories.Keys -join ', '), all"
-        exit 1
+        throw "Invalid category: $Category. Valid options: $($Categories.Keys -join ', '), all"

387-390: Add GitHub job summary for CI visibility.

Surface results to Actions UI.

     Write-Log "Documentation standardization completed"
     Write-Log "Processed $ProcessedProjects out of $TotalProjects projects"
     Write-Log "Log file: $LogFile"
+
+    if ($env:GITHUB_STEP_SUMMARY) {
+@"
+### Documentation standardization
+- Category: $Category
+- Projects processed: $ProcessedProjects / $TotalProjects
+- Log: $LogFile
+"@ | Out-File -FilePath $env:GITHUB_STEP_SUMMARY -Append -Encoding utf8
+    }

120-148: Tighten regex heuristics to reduce false positives.

Patterns like https?://.*api are broad. Narrow them to known providers or required domains.

-    $HasApiKeyLinks = $Content -match "https?://.*api" -or $Content -match "studio\.nebius\.ai"
+    $HasApiKeyLinks = $Content -match "https?://(studio\.nebius\.ai|platform\.openai\.com|pinecone\.io|qdrant\.tech)\b"

371-385: Deriving CategoryType via -replace is brittle.

Map category path → type explicitly to avoid surprises if directory names change.

# Example
$typeMap = @{
  'starter_ai_agents'='starter'; 'simple_ai_agents'='simple'; 'rag_apps'='rag'
  'advance_ai_agents'='advance'; 'mcp_ai_agents'='mcp'; 'memory_agents'='memory'
}
Update-Project -ProjectPath $ProjectPath -CategoryType $typeMap[$CategoryPath]

60-100: Header detection: anchor to headings to avoid accidental matches.

Avoid matching emoji/body text; anchor to start-of-line markdown headers.

-    $HasFeatures = $Content -match "## .*Features" -or $Content -match "🚀.*Features"
+    $HasFeatures = $Content -match "(?m)^\s*##\s+Features\b"
-    $HasTechStack = $Content -match "## .*Tech Stack" -or $Content -match "🛠️.*Tech Stack"
+    $HasTechStack = $Content -match "(?m)^\s*##\s+Tech Stack\b"
-    $HasInstallation = $Content -match "## .*Installation" -or $Content -match "⚙️.*Installation"
+    $HasInstallation = $Content -match "(?m)^\s*##\s+Installation\b"
-    $HasUsage = $Content -match "## .*Usage" -or $Content -match "🚀.*Usage"
+    $HasUsage = $Content -match "(?m)^\s*##\s+Usage\b"
-    $HasContributing = $Content -match "## .*Contributing" -or $Content -match "🤝.*Contributing"
+    $HasContributing = $Content -match "(?m)^\s*##\s+Contributing\b"
-    $HasTroubleshooting = $Content -match "## .*Troubleshooting" -or $Content -match "🐛.*Troubleshooting"
+    $HasTroubleshooting = $Content -match "(?m)^\s*##\s+Troubleshooting\b"
-    $HasProjectStructure = $Content -match "## .*Project Structure" -or $Content -match "📂.*Project Structure"
+    $HasProjectStructure = $Content -match "(?m)^\s*##\s+Project Structure\b"
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📒 Files selected for processing (47)
  • .github/implementation/IMPROVEMENT_SUMMARY.md (1 hunks)
  • .github/implementation/PHASE3_CODE_QUALITY_REPORT.md (1 hunks)
  • .github/scripts/analyze-dependencies.py (1 hunks)
  • .github/scripts/apply-code-quality.ps1 (1 hunks)
  • .github/scripts/check-hardcoded-secrets.py (1 hunks)
  • .github/scripts/improve-docs.ps1 (1 hunks)
  • .github/scripts/migrate-to-uv.ps1 (1 hunks)
  • .github/scripts/parse-bandit-report.py (1 hunks)
  • .github/scripts/standardize-documentation.ps1 (1 hunks)
  • .github/scripts/validate-env-examples.py (1 hunks)
  • .github/scripts/validate-project-structure.py (1 hunks)
  • .github/standards/ENVIRONMENT_CONFIG_STANDARDS.md (1 hunks)
  • .github/standards/README_STANDARDIZATION_GUIDE.md (1 hunks)
  • .github/standards/UV_MIGRATION_GUIDE.md (1 hunks)
  • .github/tools/README.md (1 hunks)
  • .github/tools/code_quality_enhancer.py (1 hunks)
  • .github/workflows/quality-assurance.yml (1 hunks)
  • advance_ai_agents/deep_researcher_agent/.env.example (1 hunks)
  • advance_ai_agents/finance_service_agent/.env.example (1 hunks)
  • advance_ai_agents/finance_service_agent/app.py (1 hunks)
  • advance_ai_agents/finance_service_agent/controllers/agents.py (1 hunks)
  • advance_ai_agents/finance_service_agent/controllers/ask.py (1 hunks)
  • advance_ai_agents/finance_service_agent/controllers/stockAgent.py (2 hunks)
  • advance_ai_agents/finance_service_agent/controllers/stockNews.py (1 hunks)
  • advance_ai_agents/finance_service_agent/controllers/topStocks.py (2 hunks)
  • advance_ai_agents/finance_service_agent/routes/agentRoutes.py (2 hunks)
  • advance_ai_agents/finance_service_agent/routes/stockRoutes.py (2 hunks)
  • advance_ai_agents/finance_service_agent/utils/redisCache.py (4 hunks)
  • rag_apps/simple_rag/.env.example (1 hunks)
  • simple_ai_agents/cal_scheduling_agent/.env.example (1 hunks)
  • simple_ai_agents/finance_agent/.env.example (1 hunks)
  • simple_ai_agents/finance_agent/main.py (1 hunks)
  • simple_ai_agents/newsletter_agent/.env.example (1 hunks)
  • simple_ai_agents/newsletter_agent/pyproject.toml (1 hunks)
  • simple_ai_agents/reasoning_agent/.env.example (1 hunks)
  • starter_ai_agents/QUICKSTART.md (1 hunks)
  • starter_ai_agents/agno_starter/.env.example (1 hunks)
  • starter_ai_agents/agno_starter/README.md (1 hunks)
  • starter_ai_agents/agno_starter/main.py (2 hunks)
  • starter_ai_agents/agno_starter/pyproject.toml (1 hunks)
  • starter_ai_agents/crewai_starter/.env.example (1 hunks)
  • starter_ai_agents/crewai_starter/README.md (1 hunks)
  • starter_ai_agents/crewai_starter/pyproject.toml (1 hunks)
  • starter_ai_agents/dspy_starter/.env.example (1 hunks)
  • starter_ai_agents/langchain_langgraph_starter/.env.example (1 hunks)
  • starter_ai_agents/openai_agents_sdk/.env.example (1 hunks)
  • starter_ai_agents/pydantic_starter/.env.example (1 hunks)
🧰 Additional context used
🧬 Code graph analysis (8)
starter_ai_agents/crewai_starter/.env.example (1)
advance_ai_agents/ai-hedgefund/services/nebius-ai/NebiusAIService.ts (1)
  • constructor (14-24)
.github/scripts/validate-env-examples.py (1)
.github/scripts/validate-project-structure.py (1)
  • main (7-65)
advance_ai_agents/finance_service_agent/app.py (2)
advance_ai_agents/finance_service_agent/utils/redisCache.py (2)
  • lifespan (36-55)
  • get_cache (57-58)
advance_ai_agents/finance_service_agent/routes/agentRoutes.py (1)
  • health_check (43-111)
.github/scripts/analyze-dependencies.py (2)
.github/scripts/check-hardcoded-secrets.py (1)
  • main (8-43)
.github/scripts/validate-project-structure.py (1)
  • main (7-65)
.github/scripts/validate-project-structure.py (2)
.github/scripts/analyze-dependencies.py (1)
  • main (7-45)
.github/scripts/validate-env-examples.py (1)
  • main (22-43)
starter_ai_agents/agno_starter/main.py (1)
simple_ai_agents/finance_agent/main.py (1)
  • main (145-161)
simple_ai_agents/finance_agent/main.py (1)
starter_ai_agents/agno_starter/main.py (1)
  • main (154-205)
.github/scripts/check-hardcoded-secrets.py (2)
.github/scripts/analyze-dependencies.py (1)
  • main (7-45)
.github/scripts/validate-env-examples.py (1)
  • main (22-43)
🪛 actionlint (1.7.8)
.github/workflows/quality-assurance.yml

48-48: the runner of "actions/setup-python@v4" action is too old to run on GitHub Actions. update the action's version to fix this issue

(action)


95-95: the runner of "actions/setup-python@v4" action is too old to run on GitHub Actions. update the action's version to fix this issue

(action)

🪛 dotenv-linter (4.0.0)
starter_ai_agents/crewai_starter/.env.example

[warning] 1-1: [LeadingCharacter] Invalid leading character detected

(LeadingCharacter)


[warning] 15-15: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)

starter_ai_agents/langchain_langgraph_starter/.env.example

[warning] 1-1: [IncorrectDelimiter] The # langchain_langgraph_starter Environment Configuration key has incorrect delimiter

(IncorrectDelimiter)


[warning] 1-1: [KeyWithoutValue] The # langchain_langgraph_starter Environment Configuration key should be with a value or have an equal sign

(KeyWithoutValue)


[warning] 1-1: [LeadingCharacter] Invalid leading character detected

(LeadingCharacter)


[warning] 1-1: [LowercaseKey] The # langchain_langgraph_starter Environment Configuration key should be in uppercase

(LowercaseKey)


[warning] 6-6: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)

starter_ai_agents/openai_agents_sdk/.env.example

[warning] 18-18: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)


[warning] 25-25: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)


[warning] 112-112: [EndingBlankLine] No blank line at the end of the file

(EndingBlankLine)

rag_apps/simple_rag/.env.example

[warning] 1-1: [IncorrectDelimiter] The # simple_rag Environment Configuration key has incorrect delimiter

(IncorrectDelimiter)


[warning] 1-1: [KeyWithoutValue] The # simple_rag Environment Configuration key should be with a value or have an equal sign

(KeyWithoutValue)


[warning] 1-1: [LeadingCharacter] Invalid leading character detected

(LeadingCharacter)


[warning] 1-1: [LowercaseKey] The # simple_rag Environment Configuration key should be in uppercase

(LowercaseKey)


[warning] 9-9: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)

simple_ai_agents/reasoning_agent/.env.example

[warning] 1-1: [IncorrectDelimiter] The # reasoning_agent Environment Configuration key has incorrect delimiter

(IncorrectDelimiter)


[warning] 1-1: [KeyWithoutValue] The # reasoning_agent Environment Configuration key should be with a value or have an equal sign

(KeyWithoutValue)


[warning] 1-1: [LeadingCharacter] Invalid leading character detected

(LeadingCharacter)


[warning] 1-1: [LowercaseKey] The # reasoning_agent Environment Configuration key should be in uppercase

(LowercaseKey)


[warning] 9-9: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)

simple_ai_agents/newsletter_agent/.env.example

[warning] 1-1: [LeadingCharacter] Invalid leading character detected

(LeadingCharacter)


[warning] 15-15: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)

starter_ai_agents/dspy_starter/.env.example

[warning] 18-18: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)


[warning] 95-95: [EndingBlankLine] No blank line at the end of the file

(EndingBlankLine)

starter_ai_agents/pydantic_starter/.env.example

[warning] 18-18: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)


[warning] 90-90: [EndingBlankLine] No blank line at the end of the file

(EndingBlankLine)

advance_ai_agents/deep_researcher_agent/.env.example

[warning] 1-1: [IncorrectDelimiter] The # deep_researcher_agent Environment Configuration key has incorrect delimiter

(IncorrectDelimiter)


[warning] 1-1: [KeyWithoutValue] The # deep_researcher_agent Environment Configuration key should be with a value or have an equal sign

(KeyWithoutValue)


[warning] 1-1: [LeadingCharacter] Invalid leading character detected

(LeadingCharacter)


[warning] 1-1: [LowercaseKey] The # deep_researcher_agent Environment Configuration key should be in uppercase

(LowercaseKey)


[warning] 6-6: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)

simple_ai_agents/cal_scheduling_agent/.env.example

[warning] 17-17: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)


[warning] 23-23: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)


[warning] 30-30: [QuoteCharacter] The value has quote characters (', ")

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[warning] 105-105: [EndingBlankLine] No blank line at the end of the file

(EndingBlankLine)

simple_ai_agents/finance_agent/.env.example

[warning] 18-18: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)


[warning] 84-84: [EndingBlankLine] No blank line at the end of the file

(EndingBlankLine)

advance_ai_agents/finance_service_agent/.env.example

[warning] 18-18: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)


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starter_ai_agents/agno_starter/.env.example

[warning] 18-18: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)


[warning] 99-99: [EndingBlankLine] No blank line at the end of the file

(EndingBlankLine)

🪛 LanguageTool
starter_ai_agents/agno_starter/README.md

[style] ~11-~11: Consider a different adjective to strengthen your wording.
Context: ...eatures - 🔍 Intelligent Analysis: Deep analysis of HackerNews content, includi...

(DEEP_PROFOUND)

.github/implementation/IMPROVEMENT_SUMMARY.md

[grammar] ~227-~227: Use a hyphen to join words.
Context: ...nd community-focused development in open source projects.*

(QB_NEW_EN_HYPHEN)

starter_ai_agents/crewai_starter/README.md

[style] ~13-~13: Consider a different adjective to strengthen your wording.
Context: ...y Meta-Llama-3.1-70B-Instruct model for deep insights - 📊 Structured Output: We...

(DEEP_PROFOUND)

.github/standards/README_STANDARDIZATION_GUIDE.md

[style] ~23-~23: The words ‘explaining’ and ‘explanations’ are quite similar. Consider replacing ‘explaining’ with a different word.
Context: ...recommended) - [ ] Workflow diagram explaining the process - [ ] **Environment Variabl...

(VERB_NOUN_SENT_LEVEL_REP)

Comment on lines +23 to +37
for project in projects:
pyproject_path = os.path.join(project, 'pyproject.toml')
requirements_path = os.path.join(project, 'requirements.txt')

if os.path.exists(pyproject_path):
with open(pyproject_path, 'r') as f:
content = f.read()
if 'requires-python' in content and 'hatchling' in content:
print(f' {project} - Modern pyproject.toml')
modern_projects += 1
else:
print(f' {project} - Basic pyproject.toml (needs enhancement)')
elif os.path.exists(requirements_path):
print(f' {project} - Legacy requirements.txt only')
legacy_projects += 1
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⚠️ Potential issue | 🟠 Major

Fix the project counting logic.

Projects with "basic pyproject.toml" (line 34) are printed but never counted in either modern_projects or legacy_projects. This causes the modernization rate calculation to be inaccurate, as these projects are excluded from the total count used in line 39.

Apply this diff to fix the counting:

             if 'requires-python' in content and 'hatchling' in content:
                 print(f' {project} - Modern pyproject.toml')
                 modern_projects += 1
             else:
                 print(f' {project} - Basic pyproject.toml (needs enhancement)')
+                modern_projects += 1  # Still counts as modern, just needs enhancement
         elif os.path.exists(requirements_path):
             print(f' {project} - Legacy requirements.txt only')
             legacy_projects += 1

Alternatively, introduce a basic_projects counter and adjust the modernization calculation accordingly.

📝 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.

Suggested change
for project in projects:
pyproject_path = os.path.join(project, 'pyproject.toml')
requirements_path = os.path.join(project, 'requirements.txt')
if os.path.exists(pyproject_path):
with open(pyproject_path, 'r') as f:
content = f.read()
if 'requires-python' in content and 'hatchling' in content:
print(f' {project} - Modern pyproject.toml')
modern_projects += 1
else:
print(f' {project} - Basic pyproject.toml (needs enhancement)')
elif os.path.exists(requirements_path):
print(f' {project} - Legacy requirements.txt only')
legacy_projects += 1
for project in projects:
pyproject_path = os.path.join(project, 'pyproject.toml')
requirements_path = os.path.join(project, 'requirements.txt')
if os.path.exists(pyproject_path):
with open(pyproject_path, 'r') as f:
content = f.read()
if 'requires-python' in content and 'hatchling' in content:
print(f' {project} - Modern pyproject.toml')
modern_projects += 1
else:
print(f' {project} - Basic pyproject.toml (needs enhancement)')
modern_projects += 1 # Still counts as modern, just needs enhancement
elif os.path.exists(requirements_path):
print(f' {project} - Legacy requirements.txt only')
legacy_projects += 1
🤖 Prompt for AI Agents
.github/scripts/analyze-dependencies.py around lines 23 to 37: the script prints
"Basic pyproject.toml (needs enhancement)" for some projects but never
increments any counter, so the total used for modernization rate is wrong;
either increment modern_projects or legacy_projects appropriately or,
preferably, add a new basic_projects counter, increment it when a project has a
basic pyproject.toml, and update the final modernization/total calculation to
include basic_projects (and update any printed summaries) so all projects are
counted.

Comment on lines +26 to +38
try:
with open(py_file, 'r', encoding='utf-8') as f:
content = f.read()

for pattern in secret_patterns:
matches = re.finditer(pattern, content, re.IGNORECASE)
for match in matches:
match_text = match.group()
if 'your_' not in match_text.lower() and 'example' not in match_text.lower():
print(f'⚠ Potential hardcoded secret in {py_file}: {match_text[:50]}...')
issues_found += 1
except Exception:
continue
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⚠️ Potential issue | 🟡 Minor

Improve error handling and reporting detail.

The bare except Exception at line 37 silently suppresses all errors, which could hide issues like encoding problems or file access errors. Additionally, the output lacks line numbers and full context, making it harder to locate and verify findings.

Apply these improvements:

         try:
             with open(py_file, 'r', encoding='utf-8') as f:
-                content = f.read()
+                lines = f.readlines()
             
             for pattern in secret_patterns:
-                matches = re.finditer(pattern, content, re.IGNORECASE)
-                for match in matches:
-                    match_text = match.group()
-                    if 'your_' not in match_text.lower() and 'example' not in match_text.lower():
-                        print(f'⚠ Potential hardcoded secret in {py_file}: {match_text[:50]}...')
-                        issues_found += 1
-        except Exception:
-            continue
+                for line_num, line in enumerate(lines, 1):
+                    matches = re.finditer(pattern, line, re.IGNORECASE)
+                    for match in matches:
+                        match_text = match.group()
+                        if 'your_' not in match_text.lower() and 'example' not in match_text.lower():
+                            print(f'⚠ {py_file}:{line_num} - Potential hardcoded secret: {match_text[:80]}')
+                            issues_found += 1
+        except UnicodeDecodeError as e:
+            print(f'⚠ Warning: Could not read {py_file}: {e}')
+        except Exception as e:
+            print(f'⚠ Warning: Error processing {py_file}: {e}')
📝 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.

Suggested change
try:
with open(py_file, 'r', encoding='utf-8') as f:
content = f.read()
for pattern in secret_patterns:
matches = re.finditer(pattern, content, re.IGNORECASE)
for match in matches:
match_text = match.group()
if 'your_' not in match_text.lower() and 'example' not in match_text.lower():
print(f'⚠ Potential hardcoded secret in {py_file}: {match_text[:50]}...')
issues_found += 1
except Exception:
continue
try:
with open(py_file, 'r', encoding='utf-8') as f:
lines = f.readlines()
for pattern in secret_patterns:
for line_num, line in enumerate(lines, 1):
matches = re.finditer(pattern, line, re.IGNORECASE)
for match in matches:
match_text = match.group()
if 'your_' not in match_text.lower() and 'example' not in match_text.lower():
print(f'⚠ {py_file}:{line_num} - Potential hardcoded secret: {match_text[:80]}')
issues_found += 1
except UnicodeDecodeError as e:
print(f'⚠ Warning: Could not read {py_file}: {e}')
except Exception as e:
print(f'⚠ Warning: Error processing {py_file}: {e}')
🤖 Prompt for AI Agents
In .github/scripts/check-hardcoded-secrets.py around lines 26 to 38, replace the
bare "except Exception" with targeted error handling and improve reporting:
catch and handle at least UnicodeDecodeError and OSError (or log any other
unexpected Exception but re-raise or log full traceback), and on file-read
failure log the filepath and exception details; when reporting potential secrets
include the exact line number and a small surrounding context/snippet (e.g., the
full matched line or +/- 40 characters) instead of a truncated 50-char slice so
reviewers can locate it quickly; ensure issues_found is incremented only for
valid matches and continue processing next files after logging the error.

Comment on lines +331 to +336
# Update .env.example if needed
if ($EnvQuality.Score -lt 70) {
Write-Log " Updating .env.example"
$NewEnvContent = New-EnhancedEnvExample -ProjectPath $ProjectPath -ProjectType $CategoryType
Set-Content -Path $EnvPath -Value $NewEnvContent -Encoding UTF8
}
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⚠️ Potential issue | 🟠 Major

Write .env.example as UTF‑8 without BOM to avoid parser issues.

Some .env loaders choke on BOM. Replace Set-Content with BOM‑less write.

-        $NewEnvContent = New-EnhancedEnvExample -ProjectPath $ProjectPath -ProjectType $CategoryType
-        Set-Content -Path $EnvPath -Value $NewEnvContent -Encoding UTF8
+        $NewEnvContent = New-EnhancedEnvExample -ProjectPath $ProjectPath -ProjectType $CategoryType
+        $utf8NoBom = New-Object System.Text.UTF8Encoding($false)
+        [System.IO.File]::WriteAllText($EnvPath, $NewEnvContent, $utf8NoBom)
🤖 Prompt for AI Agents
In .github/scripts/standardize-documentation.ps1 around lines 331 to 336, the
code uses Set-Content -Encoding UTF8 which may write a BOM and break some .env
parsers; replace that call with a BOM-less UTF‑8 write (for example use
[System.IO.File]::WriteAllText($EnvPath, $NewEnvContent,
[System.Text.Encoding]::UTF8) or explicitly new System.Text.UTF8Encoding($false)
to create a UTF8 encoding without BOM) so the .env.example is written as UTF‑8
without a BOM.

Comment on lines +339 to +344
if (-not (Test-Path $PyProjectPath) -and (Test-Path $RequirementsPath)) {
Write-Log " Creating pyproject.toml"
# This would be implemented with a more complex conversion
# For now, just note that it needs manual attention
Write-Log " NOTE: pyproject.toml creation needs manual review" "WARNING"
}
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⚠️ Potential issue | 🟡 Minor

Misleading log: no pyproject is created.

Adjust wording to reflect current behavior.

-        Write-Log "  Creating pyproject.toml"
-        # This would be implemented with a more complex conversion
-        # For now, just note that it needs manual attention
-        Write-Log "  NOTE: pyproject.toml creation needs manual review" "WARNING"
+        Write-Log "  Skipping automatic pyproject.toml creation; conversion from requirements.txt needs manual review" "WARNING"
🤖 Prompt for AI Agents
.github/scripts/standardize-documentation.ps1 around lines 339 to 344: the log
currently prints "Creating pyproject.toml" but no file is actually created,
which is misleading; change the first Write-Log call to a clear message that no
pyproject.toml was created and that manual creation/review is required (e.g.,
"pyproject.toml not created; manual creation/review required") and keep or
escalate the subsequent NOTE warning so logs accurately reflect the script's
behavior.

Comment on lines +257 to +319
```powershell
# migrate-to-uv.ps1
param(
[Parameter(Mandatory=$true)]
[string]$ProjectPath,
[Parameter(Mandatory=$true)]
[string]$ProjectName,
[string]$Description = "AI agent application"
)
$projectToml = @"
[project]
name = "$ProjectName"
version = "0.1.0"
description = "$Description"
authors = [
{name = "Arindam Majumder", email = "[email protected]"}
]
readme = "README.md"
requires-python = ">=3.10"
license = {text = "MIT"}
dependencies = [
"@
# Read existing requirements.txt and convert
if (Test-Path "$ProjectPath/requirements.txt") {
$requirements = Get-Content "$ProjectPath/requirements.txt" | Where-Object { $_ -and !$_.StartsWith("#") }
foreach ($req in $requirements) {
$req = $req.Trim()
if ($req) {
# Add basic version constraints
if (!$req.Contains("=") -and !$req.Contains(">") -and !$req.Contains("<")) {
$projectToml += "`n `"$req>=0.1.0`","
} else {
$projectToml += "`n `"$req`","
}
}
}
}
$projectToml += @"
]
[project.urls]
Homepage = "https://github.com/Arindam200/awesome-ai-apps"
Repository = "https://github.com/Arindam200/awesome-ai-apps"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
"@
# Write pyproject.toml
$projectToml | Out-File -FilePath "$ProjectPath/pyproject.toml" -Encoding utf8
Write-Host "Created pyproject.toml for $ProjectName"
Write-Host "Please review and adjust version constraints manually"
```
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⚠️ Potential issue | 🟡 Minor

Migration script default version constraint contradicts guide recommendations.

The PowerShell script at line 293 adds >=0.1.0 as a default version constraint when none exists in requirements.txt. This is overly permissive and contradicts the guide's own version pinning strategy (lines 179-202) which recommends major version constraints like >=X.Y.Z,<(X+1).0.0.

The script should either:

  1. Leave dependencies without constraints and warn the user to add them manually, or
  2. Attempt to query the current installed version and apply major version constraints
             if (!$req.Contains("=") -and !$req.Contains(">") -and !$req.Contains("<")) {
-                $projectToml += "`n    `"$req>=0.1.0`","
+                # No version specified - require manual review
+                $projectToml += "`n    `"$req`",  # TODO: Add version constraints"
+                Write-Warning "  No version constraint for $req - please add manually"
             } else {

Alternatively, add a note that this script generates a basic template that requires manual review and version constraint updates per the guide's recommendations.

🤖 Prompt for AI Agents
In .github/standards/UV_MIGRATION_GUIDE.md around lines 257 to 319 the
PowerShell migration script unconditionally appends a default ">=0.1.0"
constraint (line ~293), which conflicts with the guide's recommended
major-version pinning; update the script so it does not inject ">=0.1.0" by
default — either (A) append just the package name with no constraint and emit a
clear warning/listing of packages that need manual version pinning (write the
warning to the console after reading requirements.txt), or (B) attempt to read
the currently installed version (e.g. pip show or reading the environment) and
construct a major-version constraint of the form ">=X.Y.Z,<(X+1).0.0" before
adding it; also add a short note in the script output that the generated
pyproject.toml is a template requiring manual review per the guide.

# Support:
# - Documentation: https://docs.agno.com
# - Issues: https://github.com/Arindam200/awesome-ai-apps/issues
# - Community: Join discussions in GitHub issues
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⚠️ Potential issue | 🟡 Minor

Add blank line at end of file.

The file is missing a trailing newline, which is flagged by dotenv-linter and is a common convention in text files to ensure proper parsing and git diffs.

Add a blank line at the end of the file.

🧰 Tools
🪛 dotenv-linter (4.0.0)

[warning] 99-99: [EndingBlankLine] No blank line at the end of the file

(EndingBlankLine)

🤖 Prompt for AI Agents
In starter_ai_agents/agno_starter/.env.example around line 99, the file is
missing a trailing newline; add a single blank line (newline character) at the
end of the file so the file ends with an empty line to satisfy dotenv-linter and
standard text-file conventions.

Comment on lines +78 to +82
def create_agent() -> Optional[object]:
"""Create and configure the HackerNews analyst agent.
Returns:
Agent: Configured agent ready for tech news analysis, or None if dependencies unavailable
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⚠️ Potential issue | 🟡 Minor

Fix return type and docstring to match implementation.

The function signature indicates Optional[object] and the docstring states "or None if dependencies unavailable", but the function never returns None. It either returns an agent or raises an exception.

Apply this diff:

-def create_agent() -> Optional[object]:
+def create_agent() -> object:
     """Create and configure the HackerNews analyst agent.
     
     Returns:
-        Agent: Configured agent ready for tech news analysis, or None if dependencies unavailable
+        object: Configured agent ready for tech news analysis
         
     Raises:
         ValueError: If NEBIUS_API_KEY is not found in environment
         RuntimeError: If agno framework is not available
     """
📝 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.

Suggested change
def create_agent() -> Optional[object]:
"""Create and configure the HackerNews analyst agent.
Returns:
Agent: Configured agent ready for tech news analysis, or None if dependencies unavailable
def create_agent() -> object:
"""Create and configure the HackerNews analyst agent.
Returns:
object: Configured agent ready for tech news analysis
Raises:
ValueError: If NEBIUS_API_KEY is not found in environment
RuntimeError: If agno framework is not available
"""
🤖 Prompt for AI Agents
In starter_ai_agents/agno_starter/main.py around lines 78 to 82, the function
signature and docstring are inconsistent with the implementation: the signature
uses Optional[object] and the docstring says "or None if dependencies
unavailable" but the function never returns None and instead raises on failure.
Update the type hint to a non-optional return type (e.g., -> object or the
concrete Agent type used in this module) and revise the docstring to state it
returns a configured Agent and that it raises an exception on failure (remove
the "or None" clause).

Comment on lines +1 to +43
# =============================================================================
# crewai_starter - Environment Configuration
# =============================================================================
# Copy this file to .env and fill in your actual values
# IMPORTANT: Never commit .env files to version control

# =============================================================================
# Required Configuration
# =============================================================================

# Nebius AI API Key (Required)
# Description: Primary LLM provider for the application
# Get your key: https://studio.nebius.ai/api-keys
# Free tier: 100 requests/minute
NEBIUS_API_KEY="your_nebius_api_key_here"

# =============================================================================
# Optional Configuration
# =============================================================================

# OpenAI API Key (Optional - Alternative LLM provider)
# Get your key: https://platform.openai.com/account/api-keys
# OPENAI_API_KEY="your_openai_api_key_here"

# =============================================================================
# Development Settings
# =============================================================================

# Debug Mode (Optional)
# DEBUG="true"

# Log Level (Optional)
# LOG_LEVEL="INFO"

# =============================================================================
# Getting Started
# =============================================================================
# 1. Copy this file: cp .env.example .env
# 2. Get a Nebius API key from https://studio.nebius.ai/api-keys
# 3. Replace "your_nebius_api_key_here" with your actual key
# 4. Save the file and run the application
#
# Support: https://github.com/Arindam200/awesome-ai-apps/issues
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⚠️ Potential issue | 🟡 Minor

Excellent template structure with one encoding issue.

The comprehensive documentation and clear organization make this an exemplary environment configuration template. However, the file contains a UTF-8 BOM that should be removed (same issue as advance_ai_agents/deep_researcher_agent/.env.example).

To fix the BOM issue, save the file without BOM encoding. Most editors have this option in their save/encoding settings.

🧰 Tools
🪛 dotenv-linter (4.0.0)

[warning] 1-1: [LeadingCharacter] Invalid leading character detected

(LeadingCharacter)


[warning] 15-15: [QuoteCharacter] The value has quote characters (', ")

(QuoteCharacter)

🤖 Prompt for AI Agents
In starter_ai_agents/crewai_starter/.env.example around lines 1 to 43, the file
includes a UTF-8 BOM which can cause parsing issues; open the file in an editor
and re-save it using "UTF-8 without BOM" (or "UTF-8 (no BOM)") encoding so the
leading BOM byte sequence is removed, then verify the first character is the '#'
and commit the updated file.

@@ -0,0 +1,25 @@
[project]
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⚠️ Potential issue | 🟡 Minor

Remove the BOM (Byte Order Mark) character.

The file starts with a BOM character (), which can cause issues with TOML parsers and other tools.

Save the file with UTF-8 encoding without BOM.

🤖 Prompt for AI Agents
In starter_ai_agents/crewai_starter/pyproject.toml around lines 1 to 1 there is
a leading BOM character (displayed as ) at the top of the file; remove the BOM
by resaving the file as UTF-8 without BOM (use your editor’s “Save with
encoding” or run a tool to strip the BOM), ensuring the first byte is the '[' of
"[project]" and then commit the cleaned file.

@@ -0,0 +1,6 @@
# langchain_langgraph_starter Environment Configuration
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⚠️ Potential issue | 🟡 Minor

Remove the BOM (Byte Order Mark) character.

The file contains a BOM character at the beginning (detected as  by static analysis), which can cause parsing issues with some environment variable loaders and shell scripts.

Save the file with UTF-8 encoding without BOM.

🧰 Tools
🪛 dotenv-linter (4.0.0)

[warning] 1-1: [IncorrectDelimiter] The # langchain_langgraph_starter Environment Configuration key has incorrect delimiter

(IncorrectDelimiter)


[warning] 1-1: [KeyWithoutValue] The # langchain_langgraph_starter Environment Configuration key should be with a value or have an equal sign

(KeyWithoutValue)


[warning] 1-1: [LeadingCharacter] Invalid leading character detected

(LeadingCharacter)


[warning] 1-1: [LowercaseKey] The # langchain_langgraph_starter Environment Configuration key should be in uppercase

(LowercaseKey)

🤖 Prompt for AI Agents
In starter_ai_agents/langchain_langgraph_starter/.env.example around lines 1 to
1, the file begins with a BOM (Byte Order Mark) character which can break env
loaders; remove the leading BOM and save the file using UTF-8 without BOM
encoding (e.g., in your editor choose "UTF-8 without BOM" or run a tool/command
to strip the BOM) so the first character is the `#` of the comment.

- Remove unused imports (List, os, re, sys, subprocess)
- Fix continuation line indentation (E128)
- Fix long lines (E501) by breaking them appropriately
- Remove unused variable 'nebius_added' (F841)
- Add proper spacing around arithmetic operators (E226)
- Add 2 blank lines before class definition (E302)

All syntax checks now pass.
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Actionable comments posted: 6

🧹 Nitpick comments (4)
.github/tools/comprehensive_code_quality_fixer.py (4)

205-232: Env example enhancer is over‑eager and brand‑specific.

  • Triggers on most files; overwrites structure and comments.
  • Hardcodes Nebius/OpenAI links; may not apply to all projects.
    Add opt‑in guard (marker comment), preserve original comments, and make providers configurable.

Proposed adjustments:

  • Only enhance when file contains a marker (e.g., “# enhance:env-example”).
  • Parse/retain existing header comments.
  • Inject provider blocks via a template with placeholders (provider name/links from CLI flags or config).
    Would you like a patch adding a --provider-template path and an opt‑in marker?

Also applies to: 233-363


53-55: Skip vendor/build directories to avoid unintended edits.

Exclude .git, pycache, venv/.venv, node_modules, dist, build, etc.

-        python_files = list(self.project_path.rglob("*.py"))
+        def _is_ignored(p: Path) -> bool:
+            banned = {".git", "__pycache__", "venv", ".venv", "node_modules", "dist", "build"}
+            return any(part in banned for part in p.parts)
+        python_files = [p for p in self.project_path.rglob("*.py") if not _is_ignored(p)]

Apply similarly in all three methods.

Also applies to: 98-100, 374-376


485-486: Use sys.exit (or SystemExit) for scripts.

exit() is for interactive use. Prefer sys.exit or raising SystemExit.

-if __name__ == "__main__":
-    exit(main())
+if __name__ == "__main__":
+    import sys
+    sys.exit(main())

34-41: Log file location is fixed; consider project‑scoped path.

Write logs under project_path to keep artifacts contained.

-                logging.FileHandler('code_quality_fixes.log', encoding='utf-8'),
+                logging.FileHandler(str(self.project_path / 'code_quality_fixes.log'), encoding='utf-8'),
📜 Review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 2276cc9 and 9ec1fdd.

📒 Files selected for processing (1)
  • .github/tools/comprehensive_code_quality_fixer.py (1 hunks)

@@ -0,0 +1,486 @@
#!/usr/bin/env python3
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⚠️ Potential issue | 🔴 Critical

BOM before shebang breaks executability.

File starts with a UTF‑8 BOM, so the kernel won’t recognize the shebang. Remove BOM so the file is runnable via ./script.

Apply:

-#!/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.

Suggested change
#!/usr/bin/env python3
#!/usr/bin/env python3
🤖 Prompt for AI Agents
.github/tools/comprehensive_code_quality_fixer.py around line 1 contains a UTF-8
BOM before the shebang which prevents the kernel from recognizing the shebang;
remove the BOM so the file starts with "#!/usr/bin/env python3" as the first
byte sequence — re-save the file encoded as UTF-8 without BOM (or strip the BOM
bytes) so the script is executable via ./script.

Comment on lines +32 to +42
def _setup_logging(self) -> logging.Logger:
"""Setup logging configuration."""
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('code_quality_fixes.log'),
logging.StreamHandler()
]
)
return logging.getLogger(__name__)
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🛠️ Refactor suggestion | 🟠 Major

Verbose flag ineffective; logging configured after level set.

basicConfig in _setup_logging resets root to INFO after you set DEBUG. Move the level change to after handlers are created; also set file handler encoding.

@@ def _setup_logging(self) -> logging.Logger:
-        logging.basicConfig(
+        logging.basicConfig(
             level=logging.INFO,
             format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
             handlers=[
-                logging.FileHandler('code_quality_fixes.log'),
+                logging.FileHandler('code_quality_fixes.log', encoding='utf-8'),
                 logging.StreamHandler()
             ]
         )
         return logging.getLogger(__name__)
@@ def main():
-    # Setup logging level
-    if args.verbose:
-        logging.getLogger().setLevel(logging.DEBUG)
-
-    # Run fixes
-    fixer = ComprehensiveCodeQualityFixer(args.project_path, dry_run=args.dry_run)
+    # Instantiate and then adjust level so basicConfig doesn't overwrite it
+    fixer = ComprehensiveCodeQualityFixer(args.project_path, dry_run=args.dry_run)
+    if args.verbose:
+        logging.getLogger().setLevel(logging.DEBUG)
     results = fixer.run_all_fixes()

Also applies to: 460-466

🤖 Prompt for AI Agents
.github/tools/comprehensive_code_quality_fixer.py around lines 32 to 42 (and
similarly lines 460-466): basicConfig currently sets level=logging.INFO which
overrides any earlier DEBUG setting and doesn't set file handler encoding;
instead create handlers first (FileHandler with explicit encoding='utf-8' and
StreamHandler), configure their formatters, add them to the root or module
logger, and then set the logger level to the desired level (e.g., logging.DEBUG)
after handlers are attached; remove the level parameter from basicConfig or
avoid basicConfig entirely and set levels on the logger and handlers explicitly
so the verbose flag takes effect.

Comment on lines +68 to +72
if fixed_lines and not content.endswith('\n'):
content = '\n'.join(fixed_lines) + '\n'
else:
content = '\n'.join(fixed_lines)

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⚠️ Potential issue | 🔴 Critical

W292 logic drops the final newline.

After splitlines(), join() removes the terminal newline even when the file originally had one. Always write exactly one trailing newline.

Apply:

-                # Ensure file ends with newline (W292)
-                if fixed_lines and not content.endswith('\n'):
-                    content = '\n'.join(fixed_lines) + '\n'
-                else:
-                    content = '\n'.join(fixed_lines)
+                # Ensure exactly one trailing newline (W292)
+                content = '\n'.join(fixed_lines) + '\n'
🤖 Prompt for AI Agents
.github/tools/comprehensive_code_quality_fixer.py around lines 68 to 72: the
current conditional can drop the terminal newline after join(), so always ensure
exactly one trailing newline; replace the if/else with a single assignment that
sets content = '\n'.join(fixed_lines) + '\n' (so files always end with one
newline, even when fixed_lines is empty or when the original had a trailing
newline).

Comment on lines +98 to +125
# Find all Python files
python_files = list(self.project_path.rglob("*.py"))

for file_path in python_files:
try:
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()

original_content = content

# Use a simple import sorter
fixed_content = self._sort_imports(content)

if fixed_content != original_content:
if not self.dry_run:
with open(file_path, 'w', encoding='utf-8') as f:
f.write(fixed_content)
self.logger.info(f"Fixed import sorting in {file_path}")
else:
self.logger.info(f"Would fix import sorting in {file_path}")
files_fixed += 1

except Exception as e:
self.logger.error(f"Error fixing imports in {file_path}: {e}")

self.fixes_applied.append(f"Fixed import sorting in {files_fixed} files")
return files_fixed

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⚠️ Potential issue | 🔴 Critical

🧩 Analysis chain

Custom import sorter is unsafe; can break code and deletes comments.

  • May reorder past “from future import …” (semantic change).
  • Misclassifies stdlib (hardcoded list).
  • Drops inline/comments within the import block.
    Use a proven tool (ruff/isort) and preserve comments.

Minimal change: prefer isort when available; fallback to current sorter.

@@ def fix_import_sorting_issues(self) -> int:
-                # Use a simple import sorter
-                fixed_content = self._sort_imports(content)
+                # Prefer isort (if available); fallback to simple sorter
+                try:
+                    from isort import api as _isort_api  # type: ignore
+                    fixed_content = _isort_api.sort_code_string(content)
+                except Exception:
+                    fixed_content = self._sort_imports(content)

Add import (top of file):

# add near other imports
# (no-op if isort not installed; try/except inside method guards usage)

Verification (find files with future imports likely to be impacted):

Also applies to: 126-194


🏁 Script executed:

#!/bin/bash
rg -nP --type=py -C2 '^\s*from\s+__future__\s+import\s+' || true

Length of output: 188


I'll verify the concerns by examining the sorter implementation and checking for potential issues in the codebase.

</parameter>

🏁 Script executed:

#!/bin/bash
# Find the _sort_imports method implementation
rg -nPU '(?s)def _sort_imports\(' .github/tools/comprehensive_code_quality_fixer.py -A 30

Length of output: 1074


🏁 Script executed:

#!/bin/bash
# Check for comments within import blocks across codebase
rg -nP --type=py '(?s)^(from|import)\s+.*#.*$' -C1

Length of output: 149


🏁 Script executed:

#!/bin/bash
# Check project dependencies for isort/ruff
fd -e txt -e toml -e cfg \( -name 'requirements*.txt' -o -name 'setup.py' -o -name 'pyproject.toml' \) -x cat {}

Length of output: 230


🏁 Script executed:

#!/bin/bash
# Verify if any imports are being reordered incorrectly by checking stdlib classification
rg -nP --type=py -C2 '^\s*(import|from)\s+(sys|os|pathlib|collections)' .github/tools/comprehensive_code_quality_fixer.py | head -20

Length of output: 85


🏁 Script executed:

#!/bin/bash
# Look at the overall structure of comprehensive_code_quality_fixer.py to understand sorting logic
head -150 .github/tools/comprehensive_code_quality_fixer.py | tail -100

Length of output: 3592


I need to see the complete _sort_imports() implementation to verify the concerns about __future__ handling, comment preservation, and stdlib classification.

</parameter>

🏁 Script executed:

#!/bin/bash
# Get complete _sort_imports implementation
rg -nPU '(?s)def _sort_imports\(' .github/tools/comprehensive_code_quality_fixer.py -A 80

Length of output: 3044


🏁 Script executed:

#!/bin/bash
# Check for hardcoded stdlib list in the file
rg -nP '(stdlib|STDLIB|standard.*library)' .github/tools/comprehensive_code_quality_fixer.py -C2

Length of output: 195


🏁 Script executed:

#!/bin/bash
# Find requirements/dependencies files with correct syntax
find . -maxdepth 3 \( -name 'requirements*.txt' -o -name 'setup.py' -o -name 'pyproject.toml' -o -name 'setup.cfg' \) 2>/dev/null | head -10

Length of output: 586


🏁 Script executed:

#!/bin/bash
# Check if the sorter explicitly handles __future__ imports
rg -nP '__future__' .github/tools/comprehensive_code_quality_fixer.py

Length of output: 0


Use proven import sorter (isort/ruff) to prevent breaking future imports and dropping comments.

The review concerns are verified as legitimate bugs in the implementation:

  1. __future__ imports will be reordered (PEP 236 violation): The hardcoded stdlib list at lines 164–165 does not include __future__, so from __future__ import statements will be misclassified as third-party imports and moved after other imports. This breaks code semantics. Confirmed: codebase contains from __future__ import annotations that would be affected.

  2. Incomplete stdlib classification: Only 8 modules are recognized (os, sys, json, urllib, http, pathlib, typing, re, logging, ast). Common stdlib modules like collections, itertools, datetime, subprocess, and threading are missing and incorrectly classified as third-party.

  3. Standalone comments within import blocks are dropped: Line 158 skips lines starting with # during processing, losing block-internal comments. Inline comments are preserved but re-sorted with their imports.

Recommended fix: Adopt isort (or ruff) with fallback:

@@ def fix_import_sorting_issues(self) -> int:
-                # Use a simple import sorter
-                fixed_content = self._sort_imports(content)
+                # Prefer isort (if available); fallback to simple sorter
+                try:
+                    from isort import api as _isort_api  # type: ignore
+                    fixed_content = _isort_api.sort_code_string(content)
+                except Exception:
+                    fixed_content = self._sort_imports(content)

Comment on lines +389 to +397
for line in lines:
# Fix mixed tabs and spaces
if '\t' in line:
# Convert tabs to 4 spaces
fixed_line = line.expandtabs(4)
fixed_lines.append(fixed_line)
else:
fixed_lines.append(line)

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⚠️ Potential issue | 🟠 Major

Tab normalization changes string contents.

expandtabs() on the entire line alters tabs inside string literals/comments. Only convert leading indentation.

-                for line in lines:
-                    # Fix mixed tabs and spaces
-                    if '\t' in line:
-                        # Convert tabs to 4 spaces
-                        fixed_line = line.expandtabs(4)
-                        fixed_lines.append(fixed_line)
-                    else:
-                        fixed_lines.append(line)
+                for line in lines:
+                    # Only convert tabs in leading indentation
+                    leading = line[:len(line) - len(line.lstrip(' \t'))]
+                    if '\t' in leading:
+                        leading = leading.expandtabs(4)
+                        fixed_lines.append(leading + line[len(leading):])
+                    else:
+                        fixed_lines.append(line)

Committable suggestion skipped: line range outside the PR's diff.

🤖 Prompt for AI Agents
.github/tools/comprehensive_code_quality_fixer.py around lines 389 to 397:
current code calls expandtabs() on the whole line which alters tabs inside
string literals and comments; change it to only normalize leading indentation by
isolating the leading whitespace (e.g., with a regex or by scanning from the
start until first non-whitespace char), run expandtabs(4) or replace leading
tabs with 4 spaces on that leading segment, then recombine with the rest of the
line so tabs inside strings/comments remain unchanged.

Comment on lines +468 to +481
print("\n" + "=" * 60)
print("COMPREHENSIVE CODE QUALITY FIXES SUMMARY")
print("=" * 60)
print(f"Trailing whitespace fixes: {results['trailing_whitespace_fixes']}")
print(f"Import sorting fixes: {results['import_sorting_fixes']}")
print(f"Environment documentation fixes: {results['env_documentation_fixes']}")
print(f"Security/indentation fixes: {results['security_fixes']}")
print(f"Total fixes applied: {results['total_fixes']}")

if results['fixes_applied']:
print("\nFixes Applied:")
for fix in results['fixes_applied']:
print(f" Γ£ô {fix}")

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⚠️ Potential issue | 🟡 Minor

Garbled bullet character in summary.

"Γ£ô" looks like a mis‑decoded bullet. Use ASCII “-” or “•”.

-            print(f"  Γ£ô {fix}")
+            print(f"  - {fix}")
🤖 Prompt for AI Agents
.github/tools/comprehensive_code_quality_fixer.py around lines 468 to 481: the
summary print loop uses a garbled bullet string "Γ£ô" (likely an encoding
artifact); replace that literal with a plain ASCII hyphen "-" (or a proper
bullet "•" if UTF-8 output is guaranteed) in the f-string (e.g. print(f"  -
{fix}")), and ensure the file is saved/committed with UTF-8 encoding to avoid
future mis-decoding.

@smirk-dev
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