AI Assistant, an AI-powered chat interface in Conductor UI which supports building workflows, debugging executions, and exploring your workflow catalog, can now be powered by Claude (Anthropic) or OpenAI models.
Introduced a new GET /api/metadata/tags/resources endpoint that retrieves all resources associated with a specific tag.
POST /workflow/test and POST /workflow/test/sync now support mocking Sub Workflow tasks. When a mock output is supplied for a Sub Workflow's task reference name, the task completes immediately with that output, and no child workflow is started.
The HTTP task and HTTP Poll task now support an acceptedStatusCodes field in inputParameters. Use this to define which HTTP status codes or families (e.g., "404", "4xx") should be treated as successful task outcomes. When not set, only 2xx responses are accepted. When explicitly set, only the listed codes are accepted; 2xx is not implicitly included.
The Wait task now supports a yield input parameter. When set to true, synchronous API calls return immediately upon reaching a Wait task with a duration, rather than holding the HTTP connection open.
A new endpoint POST /workflow/test/sync has been added for testing workflows synchronously. The key addition in this endpoint is support for mocking HTTP tasks. You can supply mock outputs for HTTP tasks the same way as any other task. If no mock is provided for an HTTP task, it falls through and executes normally.
The Conductor AI Assistant can now leverage configured integrations when helping build workflows, making it easier to create integration-connected workflows through conversational UI.
A new GET /api/metadata/tags/grouped endpoint returns all tags organized by resource type with a count per type. This supports tag management and auditing across large Conductor deployments.
Orkes Conductor’s Gateway lets you expose any workflow as an API endpoint or MCP tool. API Gateway routes map HTTP requests to workflows, while MCP Gateway surfaces workflows as tools for AI agents. Both support authentication, rate limiting, CORS configuration, and pre/post transformation scripts.
Orkes Conductor now supports integrations with AWS and Google Cloud Platform, enabling workflows to securely access private S3 and GCS storage buckets using storage-related tasks.
The new AI task, Chunk Text, splits large text content into smaller, structured s
The new AI task, List Files, retrieves file listings from S3, GCS, Azure Blob, or Git repositories. It is designed for workflows that need to dynamically index or process file-based data sources.
The new AI task, Parse Document, extracts and converts documents from cloud storage, Git repositories, and websites into Markdown format. It supports Office documents, PDFs, HTML, images (via OCR), ZIP archives, and text files.