SyteLine REST API Error Codes and Troubleshooting Reference
When a SyteLine REST API call fails, the HTTP response contains status codes and error messages from multiple layers: the ION API Gateway, the IDO Runtime, extension class validation, and the SQL Server database. Understanding which layer generated the error and what each error code means is critical for rapid diagnosis and resolution. This reference covers the most common error codes encountered in SyteLine REST API integrations.
HTTP Status Codes from the ION API Gateway
The Infor ION API Gateway returns standard HTTP status codes that indicate whether the request reached the SyteLine backend. A 401 Unauthorized means your OAuth token is expired, revoked, or malformed. A 403 Forbidden indicates the API client lacks the required ION API role or suite assignment. A 429 Too Many Requests means you have exceeded the gateway rate limit. A 502 Bad Gateway or 504 Gateway Timeout indicates the SyteLine backend is unreachable or overloaded. These gateway-level errors require different remediation than application-level errors from the IDO Runtime.
- 401 Unauthorized: refresh the OAuth access token or verify the client credentials in the .ionapi file
- 403 Forbidden: check ION API Admin > Authorized Apps for correct suite assignment and role mapping
- 429 Too Many Requests: implement exponential backoff and reduce request frequency below the rate limit
- 502 Bad Gateway: verify the SyteLine application server is running and reachable from the ION Gateway
- 504 Gateway Timeout: increase the gateway timeout setting or optimize the IDO query causing the delay
IDO Runtime Error Codes and Messages
When the request reaches the SyteLine IDO Runtime, errors return as JSON objects with error codes, messages, and sometimes stack traces. Error code 1001 indicates an optimistic concurrency conflict where the RowPointer has changed since your last read. Error codes in the 2000-2999 range typically come from extension class validation logic. A -1 error code with a SQL-related message indicates a database constraint violation. The error message often includes the IDO name, method name, and property that triggered the failure, providing the starting point for your investigation.
- Error 1001 (Concurrency): reload the record, compare values, and resubmit with the current RowPointer
- Error 2000-2999 (Validation): review the extension class source code for the specific error code thrown
- Error -1 with SQL message: check for unique key violations, foreign key constraints, or data type mismatches
- Error -100 (Security): the API user lacks IDO-level permission; check IDO Security form for the user's group
- Error -200 (Not Found): the specified IDO name does not exist in the metadata; verify IDO registration
Systematic Error Diagnosis Workflow
When an API call fails, follow a systematic diagnosis workflow. First, check the HTTP status code to determine if the error is at the gateway or application level. Second, parse the response body for the IDO error code and message. Third, check the SyteLine server logs (SLAppServer.log) for the corresponding server-side error entry with full stack trace. Fourth, if the error involves SQL, capture the generated query from SQL Server Profiler and run it directly to see the database-level error. Document each error with its code, message, request payload, and resolution for your team's runbook.
- Step 1: classify the error layer - Gateway (4xx/5xx) vs IDO Runtime (JSON error) vs Database (SQL error)
- Step 2: parse the response body JSON for errorCode, errorMessage, and details fields
- Step 3: correlate with SLAppServer.log using the timestamp and IDO name from the failed request
- Step 4: for SQL errors, use SQL Profiler filtered on the SyteLine database login to capture the failing query
- Step 5: document the error pattern in a runbook with root cause, resolution steps, and prevention measures
Netray AI agents automatically diagnose SyteLine API errors, correlate error codes across layers, and suggest targeted fixes. Reduce your mean time to resolution for API integration issues.
Related Resources
SyteLine REST API Authentication Guide
Configure SyteLine REST API authentication with OAuth 2.0, bearer tokens, and basic auth. Secure your CloudSuite Industrial API integrations with proven patterns.
Infor SyteLineSyteLine REST API CRUD Operations Guide
Perform CRUD operations against SyteLine via REST API. Step-by-step examples for creating, reading, updating, and deleting records through IDO REST endpoints.
Infor SyteLineSyteLine REST API Rate Limiting Guide
Manage SyteLine REST API rate limits and throttling. Configure request quotas, implement backoff strategies, and optimize throughput for CloudSuite Industrial APIs.