Error Types¶
Each node type throws specific error classes that help you understand what went wrong and how to fix it.
Node-specific errors¶
CodeNodeError
Info: Your Python or JavaScript code threw an exception during execution
OutputValidationError
Info: The data type your code returned doesn't match the output variable type you configured
DepthLimitError
Info: Your code created nested data structures deeper than 5 levels
CodeExecutionError
Info: The sandbox service couldn't execute your code - usually means the service is down
VariableNotFoundError
Info: Your prompt template references a variable that doesn't exist in the workflow context
InvalidContextStructureError
Info: You passed an array or object to the context field, which only accepts strings
NoPromptFoundError
Info: The prompt field is completely empty
ModelNotExistError
Info: No model is selected in the LLM node configuration
LLMModeRequiredError
Info: The selected model doesn't have valid API credentials configured
InvalidVariableTypeError
Info: Your prompt template isn't valid Jinja2 syntax or plain text format
AuthorizationConfigError
Info: Missing or invalid authentication configuration for the API endpoint
InvalidHttpMethodError
Info: HTTP method must be GET, HEAD, POST, PUT, PATCH, or DELETE
ResponseSizeError
Info: API response exceeded the 10MB size limit
FileFetchError
Info: Couldn't retrieve a file variable referenced in the request
InvalidURLError
Info: The URL format is malformed or unreachable
ToolParameterError
Info: Parameters passed to the tool don't match its expected schema
ToolFileError
Info: The tool couldn't access required files
ToolInvokeError
Info: The external tool API returned an error during execution
ToolProviderNotFoundError
Info: The tool provider isn't installed or configured properly
System-level errors¶
InvokeConnectionError
Info: Network connection failed to the external service
InvokeServerUnavailableError
Info: External service returned a 503 status or is temporarily down
InvokeRateLimitError
Info: You've hit rate limits on the API or model provider
QuotaExceededError
Info: Your usage quota has been exceeded for this service