session.prompt() may throw {} or JSON parse errors even when the server
successfully processes the request. Instead of crashing the tool, catch
all errors and proceed to fetch messages — if the response is available,
return it; otherwise return a clean error string.
Closes#704
Add support for base64-encoded image data in the look_at tool,
enabling analysis of clipboard/pasted images without requiring
a file path.
Changes:
- Add optional image_data parameter to LookAtArgs type
- Update validateArgs to accept either file_path or image_data
- Add inferMimeTypeFromBase64 function to detect image format
- Add try/catch around atob() to handle invalid base64 gracefully
- Update execute to handle both file path and data URL inputs
- Add comprehensive tests for image_data functionality
- Add skipNotification option to cancelTask method
- Apply skipNotification to background_cancel tool
- Prevents unwanted notifications when user cancels via tool
- fetchAvailableModels now falls back to client.model.list() when cache is empty
- provider-models cache empty → models.json → client API (3-tier fallback)
- look-at tool explicitly passes registered agent's model to session.prompt
- Ensures multimodal-looker uses correctly resolved model (e.g., gemini-3-flash-preview)
- Add comprehensive tests for fuzzy matching and fallback scenarios
When multimodal-looker agent returns empty/malformed response, the SDK
throws 'JSON Parse error: Unexpected EOF'. This commit adds try-catch
around session.prompt() to provide user-friendly error message with
troubleshooting guidance.
- Add error handling for JSON parse errors with detailed guidance
- Add error handling for generic prompt failures
- Add test cases for both error scenarios
LLMs often call look_at with 'path' instead of 'file_path' parameter,
causing TypeError and infinite retry loops.
- Add normalizeArgs() to accept both 'path' and 'file_path'
- Add validateArgs() with clear error messages showing correct usage
- Add tests for normalization and validation
Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
YeonGyu-Kim