Feature/image error diagnose #484
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pavanimanchala53
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Sequence Diagram(s)sequenceDiagram
autonumber
participant User
participant CLI as Cortex CLI
participant Router as LLMRouter
participant Vision as Claude Vision API
User->>CLI: cortex diagnose --image screenshot.png
CLI->>Router: diagnose_image(image)
Router->>Router: lazy-import Pillow\nconvert image -> PNG bytes (base64)
alt Claude Vision available
Router->>Vision: send image + structured prompt (model)
Vision-->>Router: textual diagnosis
Router-->>CLI: diagnosis text
else Claude Vision unavailable or error
Router-->>CLI: fallback guidance message
end
CLI->>User: display result
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes Poem
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Actionable comments posted: 4
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⚠️ Outside diff range comments (2)
requirements.txt (1)
10-26: Fix duplicate PyYAML entries.PyYAML appears three times with conflicting versions:
- Line 10:
PyYAML>=6.0.0- Line 22:
pyyaml>=6.0.0- Line 26:
PyYAML==6.0.3This can cause installation conflicts or unexpected behavior.
🔎 Recommended fix
Remove the duplicate entries and keep only one:
# Configuration PyYAML>=6.0.0 # Environment variable loading from .env files python-dotenv>=1.0.0 # Encryption for environment variable secrets cryptography>=42.0.0 # Terminal UI rich>=13.0.0 -# Configuration -pyyaml>=6.0.0 - # Type hints for older Python versions typing-extensions>=4.0.0 -PyYAML==6.0.3cortex/llm_router.py (1)
661-682: Critical:acomplete()lacks the_is_fallbackguard, causing infinite recursion.The
_is_fallbackguard was added tocomplete()(line 312) but not toacomplete(). If both Claude and Kimi fail, the async fallback loop will recurse infinitely:
acomplete()→ Claude fails → fallback to Kimiacomplete(force_provider=KIMI)→ Kimi fails → fallback to Claudeacomplete(force_provider=CLAUDE)→ Claude fails → fallback to Kimi- ... stack overflow
Suggested fix
Add the same
_is_fallbackparameter and guard toacomplete():async def acomplete( self, messages: list[dict[str, str]], task_type: TaskType = TaskType.USER_CHAT, force_provider: LLMProvider | None = None, temperature: float = 0.7, max_tokens: int = 4096, tools: list[dict] | None = None, + _is_fallback: bool = False, ) -> LLMResponse:except Exception as e: logger.error(f"❌ Error with {routing.provider.value}: {e}") # Try fallback if enabled - if self.enable_fallback: + if self.enable_fallback and not _is_fallback: fallback_provider = ( LLMProvider.KIMI_K2 if routing.provider == LLMProvider.CLAUDE else LLMProvider.CLAUDE ) logger.info(f"🔄 Attempting fallback to {fallback_provider.value}") return await self.acomplete( messages=messages, task_type=task_type, force_provider=fallback_provider, temperature=temperature, max_tokens=max_tokens, tools=tools, + _is_fallback=True, ) - else: - raise + + raise
🧹 Nitpick comments (6)
tests/test_diagnose_image.py (3)
9-23: Expand test coverage for diagnose_image.The fallback test is good, but consider adding tests for:
- Successful Claude Vision response (with mocking)
- Pillow ImportError scenario
- Exception during Claude API call
- Invalid image input handling
This would increase confidence in the feature's robustness.
Based on learnings and coding guidelines requiring >80% test coverage for pull requests.
Example additional test
def test_diagnose_image_missing_pillow(monkeypatch): """Test fallback when Pillow is not available.""" import sys import builtins original_import = builtins.__import__ def mock_import(name, *args, **kwargs): if name == "PIL" or name == "PIL.Image": raise ImportError("No module named 'PIL'") return original_import(name, *args, **kwargs) monkeypatch.setattr(builtins, "__import__", mock_import) router = LLMRouter(claude_api_key="test-key") image = Image.new("RGB", (100, 100), color="blue") result = router.diagnose_image(image) assert "missing pillow" in result.lower()
25-30: Consider removing trivial test.This test only checks that the method exists, which would be caught by the first test anyway. Consider replacing it with a more meaningful test case (e.g., testing with a valid Claude API key mock).
1-1: Add module-level docstring.Per coding guidelines, all Python files should have docstrings. Add a module-level docstring describing the test file's purpose.
Example docstring
+""" +Tests for image-based error diagnosis functionality in LLMRouter. + +Tests cover fallback behavior when Claude Vision is unavailable, +missing dependencies, and basic method existence. +""" import pytestAs per coding guidelines requiring docstrings for all public APIs.
cortex/llm_router.py (3)
22-22: Unused import:asdictThe
asdictfunction is imported but never used in this file.Suggested fix
-from dataclasses import asdict, dataclass +from dataclasses import dataclass
271-271: Clean up development notes from code.The inline comments
# 👈 ADD THISand# 👈 CRITICAL LINEappear to be development notes that should be removed before merge.Suggested fix
- _is_fallback: bool = False, # 👈 ADD THIS + _is_fallback: bool = False,- _is_fallback=True, # 👈 CRITICAL LINE + _is_fallback=True,Also applies to: 327-327
364-366: Consider using Claude Sonnet 4 for image diagnosis instead of Opus.The
diagnose_image()method usesclaude-3-opus-20240229while_complete_claude()usesclaude-sonnet-4-20250514. Claude Sonnet 4 supports vision and is significantly more cost-effective (input: $3 vs $15 per MTok; output: $15 vs $75 per MTok). Consider aligning both methods to use Sonnet 4 for consistency and cost optimization.
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{setup.py,setup.cfg,pyproject.toml,**/__init__.py}
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tests/test_diagnose_image.py (1)
cortex/llm_router.py (2)
LLMRouter(78-919)diagnose_image(332-400)
cortex/cli.py (2)
cortex/llm_router.py (1)
diagnose_image(332-400)cortex/branding.py (1)
cx_print(49-69)
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🔇 Additional comments (7)
requirements.txt (1)
7-7: LGTM! Pillow dependency added correctly.The addition of
pillow>=9.0.0is appropriate for the new image-based diagnosis feature.requirements-dev.txt (1)
11-11: LGTM! Development dependency added correctly.Adding Pillow to dev dependencies ensures tests can create and manipulate images for testing the diagnose feature.
cortex/cli.py (1)
1645-1666: LGTM! Diagnose command parser configured correctly.The argument parser setup for the diagnose subcommand is well-structured with clear help text and appropriate argument types.
pyproject.toml (1)
50-50: LGTM! Pillow dependency added correctly.The addition aligns with requirements.txt and requirements-dev.txt, ensuring consistent dependency management across the project.
tests/test_diagnose_image.py (1)
1-7: LGTM! Good use of pytest.importorskip.Using
pytest.importorskipensures tests are skipped gracefully when Pillow is not installed, rather than failing with ImportError.cortex/llm_router.py (2)
171-171: LGTM!Downgrading to info level is appropriate since Kimi is an optional fallback provider, not a required component.
455-455: LGTM!The conditional check for
model_dumpimproves robustness and maintains consistency with the Ollama implementation.Also applies to: 498-498
| elif args.command == "diagnose": | ||
| import io | ||
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| from PIL import Image | ||
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| image = None | ||
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| if args.image: | ||
| try: | ||
| image = Image.open(args.image) | ||
| except Exception as e: | ||
| print(f"❌ Failed to load image: {e}") | ||
| return 1 | ||
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| elif args.clipboard: | ||
| try: | ||
| from PIL import ImageGrab | ||
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| image = ImageGrab.grabclipboard() | ||
| if image is None: | ||
| print("❌ No image found in clipboard") | ||
| return 1 | ||
| except Exception as e: | ||
| print(f"❌ Failed to read clipboard: {e}") | ||
| return 1 | ||
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| router = LLMRouter() | ||
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| if image: | ||
| cx_print("🔍 Analyzing error screenshot...") | ||
| diagnosis = router.diagnose_image(image) | ||
| cx_print(diagnosis) | ||
| return 0 | ||
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| if args.text: | ||
| print("📝 Text diagnosis placeholder") | ||
| print(args.text) | ||
| return 0 | ||
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| print("❌ Provide an image, clipboard, or error message") | ||
| return 1 |
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Critical: LLMRouter initialized without API key; refactor error handling.
Several issues in the diagnose command handler:
- Critical: LLMRouter is initialized without an API key (line 1953), which means it will always fail when trying to use Claude Vision. This defeats the purpose of the feature.
- PIL imports should be at the top of the function or module level, not scattered throughout
- Error messages inconsistently use
print()instead ofcx_print() - Missing type hints and docstring (required per coding guidelines)
🔎 Proposed fixes
Fix 1: Add API key handling
elif args.command == "diagnose":
import io
from PIL import Image
+ from PIL import ImageGrab
image = None
if args.image:
try:
image = Image.open(args.image)
except Exception as e:
- print(f"❌ Failed to load image: {e}")
+ cli._print_error(f"Failed to load image: {e}")
return 1
elif args.clipboard:
try:
- from PIL import ImageGrab
-
image = ImageGrab.grabclipboard()
if image is None:
- print("❌ No image found in clipboard")
+ cli._print_error("No image found in clipboard")
return 1
except Exception as e:
- print(f"❌ Failed to read clipboard: {e}")
+ cli._print_error(f"Failed to read clipboard: {e}")
return 1
- router = LLMRouter()
+ # Get API key for LLM router (diagnose_image needs Claude Vision)
+ api_key = cli._get_api_key()
+ if not api_key:
+ return 1
+
+ router = LLMRouter(claude_api_key=api_key)
if image:
cx_print("🔍 Analyzing error screenshot...")
diagnosis = router.diagnose_image(image)
cx_print(diagnosis)
return 0
if args.text:
- print("📝 Text diagnosis placeholder")
- print(args.text)
+ cx_print("📝 Text diagnosis placeholder", "info")
+ console.print(args.text)
return 0
- print("❌ Provide an image, clipboard, or error message")
+ cli._print_error("Provide an image, clipboard, or error message")
return 1Note: Consider extracting this into a method like cli.diagnose(args) for consistency with other commands and to add proper type hints and docstring.
Committable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In cortex/cli.py around lines 1927 to 1967, the diagnose command handler
incorrectly instantiates LLMRouter without providing the required API key and
has scattered PIL imports, inconsistent use of print() vs cx_print(), and lacks
type hints/docstring; fix by refactoring into a dedicated function (e.g.,
cli.diagnose(args) with a proper docstring and type hints), move PIL imports to
module top or function start, pass the configured API key (from env/config/args)
into LLMRouter when creating router, replace all print() calls with cx_print()
for consistent CLI output, and centralize clipboard/image loading and error
handling to propagate/log the underlying exception details.
✅ Addressed in commit ec86f9d
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Actionable comments posted: 2
🧹 Nitpick comments (2)
cortex/cli.py (2)
1921-1963: Consider extracting diagnose logic into a dedicated method.The diagnose command handler would benefit from extraction into a method like
cli.diagnose(args)for consistency with other command handlers (e.g.,cli.ask(),cli.install()). This would allow proper type hints and a docstring as required by coding guidelines.🔎 Suggested refactor
Add a new method to the
CortexCLIclass:def diagnose(self, args: argparse.Namespace) -> int: """ Diagnose installation or system errors from images or text. Args: args: Parsed command-line arguments with image, clipboard, or text options. Returns: Exit code (0 for success, 1 for error). """ import io from PIL import Image, ImageGrab image = None if args.image: try: image = Image.open(args.image) except Exception as e: self._print_error(f"Failed to load image: {e}") return 1 elif args.clipboard: try: image = ImageGrab.grabclipboard() if image is None: self._print_error("No image found in clipboard") return 1 except Exception as e: self._print_error(f"Failed to read clipboard: {e}") return 1 # Get API key for LLM router (diagnose_image needs Claude Vision) api_key = self._get_api_key() if not api_key: return 1 router = LLMRouter(claude_api_key=api_key) if image: cx_print("🔍 Analyzing error screenshot...") diagnosis = router.diagnose_image(image) cx_print(diagnosis) return 0 if args.text: cx_print("📝 Text diagnosis placeholder", "info") console.print(args.text) return 0 self._print_error("Provide an image, clipboard, or error message") return 1Then in
main(), replace lines 1921-1963 with:elif args.command == "diagnose": return cli.diagnose(args)
1946-1956: Minor optimization: defer router creation until needed.The
LLMRouteris created at line 1951 before checking whether an image is actually available. If only--textis provided (which currently just prints a placeholder), the router creation is unnecessary. Consider moving router initialization inside theif image:block.🔎 Suggested optimization
- # Get API key for LLM router (diagnose_image needs Claude Vision) - api_key = cli._get_api_key() - if not api_key: - return 1 - - router = LLMRouter(claude_api_key=api_key) if image: + # Get API key for LLM router (diagnose_image needs Claude Vision) + api_key = cli._get_api_key() + if not api_key: + return 1 + + router = LLMRouter(claude_api_key=api_key) cx_print("🔍 Analyzing error screenshot...") diagnosis = router.diagnose_image(image) cx_print(diagnosis) return 0
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cortex/cli.py (1)
cortex/llm_router.py (2)
LLMRouter(81-929)diagnose_image(335-410)
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🔇 Additional comments (7)
cortex/cli.py (2)
23-23: LGTM - LLMRouter import added correctly.The import is properly placed with other cortex module imports.
1639-1660: LGTM - Diagnose command arguments are well-defined.The argument structure supports the three input modes (image file, clipboard, text) with clear help text. The non-exclusive nature allows users to provide multiple inputs if needed.
cortex/llm_router.py (5)
15-16: LGTM - Proper use of TYPE_CHECKING for optional dependencies.The imports are well-structured:
base64andiosupport image encoding for Claude VisionTYPE_CHECKINGcorrectly isolates PIL.Image type hint import, avoiding runtime dependency when PIL is unavailableThis pattern prevents import errors when Pillow is not installed while still providing type hints.
Also applies to: 22-22, 24-24, 29-31
174-174: LGTM - Appropriate logging level for optional provider.Changed from
warningtoinfolevel, which is correct since Kimi K2 is an optional provider and its absence is informational rather than problematic.
274-274: Excellent fix - prevents infinite fallback recursion.The
_is_fallbackparameter ensures that if the primary provider fails, the router attempts fallback exactly once, then raises an exception if the fallback also fails. This prevents infinite loops that could occur if both providers repeatedly fail.The guarded recursion at line 330 passing
_is_fallback=Trueis the critical safeguard.Also applies to: 315-333
465-465: LGTM - Defensive handling of raw_response serialization.The conditional check for
model_dump()method existence prevents errors when the response object doesn't support serialization, falling back toNone. This is good defensive programming.Also applies to: 508-508
585-586: LGTM - Minor docstring clarification.The updated Returns description is clearer and more specific about what the dictionary contains.
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cortex/llm_router.py (1)
334-409: Critical: Update deprecated Claude model.The model
claude-3-opus-20240229on Line 372 is deprecated per previous review feedback. Update to a current vision-capable model such asclaude-opus-4-1-20250805or one from the Claude 3.5/4 families.Additionally,
max_tokens=500(Line 373) may be insufficient for detailed error diagnoses with suggested fixes. Consider increasing to 1024 or higher to provide more comprehensive diagnostic responses.🔎 Proposed fix
try: response = self.claude_client.messages.create( - model="claude-3-opus-20240229", - max_tokens=500, + model="claude-opus-4-1-20250805", + max_tokens=1024, messages=[
🧹 Nitpick comments (3)
tests/test_diagnose_image.py (2)
9-22: Consider expanding test coverage for diagnose_image.The current test only validates the fallback when Claude is unavailable. Consider adding tests for:
- Successful Claude Vision response (mock the API call)
- API errors (authentication failure, network error, rate limit)
- Empty or malformed API responses
- Different image formats (PNG, JPG, WebP as mentioned in requirements)
- Large images that might exceed context limits
The Pillow-missing fallback can't be tested in this module due to
importorskipon Line 3, but could be tested in a separate module that doesn't import PIL.
25-30: Consider removing or strengthening this test.This test only verifies the method exists, which is implicitly validated by
test_diagnose_image_fallback_without_claudeon Line 19. Consider either:
- Removing this test as redundant
- Replacing it with a test that validates the method signature (parameters, return type)
- Or use it to test that the method is callable with a real PIL Image object
cortex/cli.py (1)
1935-1977: Good API key handling; consider making diagnose options mutually exclusive.The diagnose command implementation correctly initializes LLMRouter with an API key (Lines 1960-1965), addressing previous review feedback.
However, the options
--image,--clipboard, and--textare not mutually exclusive. If a user provides multiple options (e.g., both--imageand--clipboard),--imagetakes precedence silently. Consider:
- Making these options mutually exclusive using
argparse.add_mutually_exclusive_group()in the argument parser (around Lines 1658-1674)- Or document the precedence order in the help text
Also note that text-based diagnosis (Lines 1972-1975) remains a placeholder as flagged in previous reviews. If this feature is deferred, consider adding a TODO comment or filing an issue.
🔎 Proposed fix to make options mutually exclusive
In the argument parser section (around Lines 1653-1674):
diagnose_parser = subparsers.add_parser( "diagnose", help="Diagnose installation or system errors", ) +diagnose_group = diagnose_parser.add_mutually_exclusive_group(required=True) + -diagnose_parser.add_argument( +diagnose_group.add_argument( "--image", type=str, help="Path to error screenshot (PNG, JPG, WebP)", ) -diagnose_parser.add_argument( +diagnose_group.add_argument( "--clipboard", action="store_true", help="Read error screenshot from clipboard", ) -diagnose_parser.add_argument( +diagnose_group.add_argument( "--text", type=str, help="Raw error text (fallback)", )
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Docstrings required for all public APIs
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🧠 Learnings (1)
📚 Learning: 2025-12-11T12:03:24.071Z
Learnt from: CR
Repo: cortexlinux/cortex PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-11T12:03:24.071Z
Learning: Applies to **/*install*.py : Implement audit logging to ~/.cortex/history.db for all package operations
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diagnose_image(334-409)
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diagnose_image(334-409)
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🔇 Additional comments (3)
cortex/llm_router.py (1)
15-16: LGTM: Proper import handling for optional dependency.The use of
TYPE_CHECKINGto conditionally import PIL'sImagetype is the correct pattern for optional dependencies. This allows static type checkers to validate the type hints without requiring Pillow at import time.Also applies to: 24-24, 29-30
cortex/cli.py (1)
23-23: LGTM: Import added for diagnose feature.The LLMRouter import is correctly placed and necessary for the new diagnose command.
requirements-dev.txt (1)
11-11: Pillow is correctly placed in main requirements.Pillow is already declared in both
requirements.txtandpyproject.toml, ensuring users have access to thecortex diagnose --imagefeature at runtime without additional manual installation.
| import io | ||
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| from PIL import Image, ImageGrab |
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🛠️ Refactor suggestion | 🟠 Major
Wrap PIL imports in try-except to provide better error handling.
The PIL imports on Line 1938 occur outside any try-except block. If Pillow is not installed, the ImportError will be raised before reaching the try-except blocks that handle image loading (Lines 1943-1947, 1950-1958), resulting in a less user-friendly error message.
Consider wrapping the imports:
🔎 Proposed fix
elif args.command == "diagnose":
- import io
-
- from PIL import Image, ImageGrab
+ try:
+ import io
+ from PIL import Image, ImageGrab
+ except ImportError:
+ cli._print_error("Pillow is required for the diagnose command")
+ cx_print("Install with: pip install pillow", "info")
+ return 1
image = None🤖 Prompt for AI Agents
In cortex/cli.py around lines 1936 to 1938, the PIL imports (from PIL import
Image, ImageGrab) are executed outside any try-except so an ImportError will
surface before the existing image-loading error handling; wrap these imports in
a try-except ImportError block (or move them inside the existing try blocks) and
on ImportError raise or log a clear user-friendly message indicating Pillow is
required and how to install it (e.g., suggest pip install Pillow), so the script
fails with a helpful error instead of a raw ImportError.
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- Add `diagnose` command supporting image and clipboard input - Use Claude Vision when available with graceful offline fallback - Add Pillow dependency for image handling - Add tests for image diagnosis fallback behavior - Add documentation for image-based diagnosis
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@pavanimanchala53 Making it draft tell me whenever its ready to review.
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Summary
This PR introduces image-based error diagnosis to Cortex via a new
diagnosecommand.Users can now diagnose system or installation errors directly from screenshots or clipboard images, solving a common problem where errors cannot be copy-pasted from terminals or GUI dialogs.
The implementation uses Claude Vision when available and gracefully falls back to an offline-safe diagnosis when vision APIs, API keys, or dependencies are unavailable.
Related Issue
Closes #266
Type of Change
What’s Included
cortex diagnose --image <path>cortex diagnose --clipboardAI Disclosure
Details:
Used ChatGPT to assist with reasoning about CLI design, fallback handling, and test coverage.
All code was manually reviewed, adapted, and tested locally.
Testing
pytest tests/ -vpytest tests/test_diagnose_image.py -vcortex diagnose --image error.pngcortex diagnose --clipboardChecklist
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