Celigo AI delivers descriptive resource summaries, intuitive code assistance, and intelligent auto-mapping
With the help of Celigo AI, you can instantly generate plain language descriptions of imports, exports, and flows. Gain an immediate understanding of an integration’s business purpose instead of spending hours deciphering complex flow logic. Especially beneficial for those less familiar with the platform, this feature offers a concise breakdown of business logic, including transformations, mappings, and more.
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Easily understand the logic of a resource created months ago, avoiding tedious configuration checks
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Seamlessly transition integrations when a team member departs without being dependent upon manual documentation efforts
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Provide leadership teams with high-level summaries without diving into intricate details
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Transfer integrations to and from services and partner teams smoothly, maintaining confidence that users with varying degrees of platform knowledge will easily understand the resources
Celigo AI empowers more users to become proficient builders with an intuitive code assistant that enables non-technical users to craft code in various advanced field editors (AFEs) for SQL statements, handlebars , and JavaScript using plain language prompts. Additionally, the “explain selection” feature provides a clear explanation of any highlighted section of existing code, bridging knowledge gaps in an instant.
Reduce manual effort and increase task efficiency by leveraging Celigo AI to automatically populate mappings for destination fields. Existing mappings will remain untouched while any remaining fields are intuitively populated, greatly reducing time to value by enabling users to complete configurations more quickly.
Remove guesswork and reduce cognitive burden by allowing the Celigo platform to take the lead in writing handlebars expressions. The cursor will move through the expression and highlight one parameter at a time while offering suggested values in a dropdown menu. Auto-suggestions can be escaped or invoked again with keyboard shortcuts at any time during the writing process, allowing you to determine how much guidance you would like to receive.
As previously introduced for exports, imports, and data flows, OpenAPI specification generation is now available for listeners. With API specifications and documentation readily available, consumers of your APIs can leverage the endpoints efficiently for their business needs without gaining full access to the source code.
Find complete instructions and popular integration scenarios – along with connector resource enhancements – at Celigo platform connectors 2024.1.1 release notes.
In alignment with NetSuite’s recent changes to their list of supported WSDL versions:
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WSDL version 2023.1 is now supported
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Any NetSuite connections configured with WSDL version 2016.2 (deprecated) must be updated to avoid flow interruptions
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View test run results for blob exports and imports
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View test run debug logs without having to enable debugging
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View test run results for dynamic lookups configured within NetSuite mappings to verify the lookups are being correctly evaluated
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The left navigation menu has received some design changes: the Help and Account sections can now be found in the top right of the screen
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The option to unmerge branches now has its icon:
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Various design adjustments have been made to optimize the connection creation experience in the flow builder
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The errors page/list can now be opened from the Home screen or Flow builder page when all runtime and test mode errors are part of the same flow step
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Restrictions have been put in place to ensure that running flows cannot be disabled
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When creating a connection, a search for a specific API type will return results for all related connectors
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Nonstandard response code from SAP Ariba listeners was interpreted as an error, marking some orders as failed
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FTP exports failed when multiple concurrent calls attempted to perform file parsing within a short period
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Export previews failed to properly display extended characters, resulting in missing data
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Salesforce imports with conditional mappings in the item sublist were creating empty lines when attempting to update records
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NetSuite JDBC exports sharing concurrent connections crashed when very large volumes of data were requested
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