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Operations and deployment ​

Manage the service, execution target, and persistent research records as separate responsibilities. First verify a local connection with the quickstart, then choose the operation you need.

Choose an operation ​

GoalGuide
Submit, wait, follow logs, cancel, or delete TasksTask management
Browse and inspect workspace artifactsWorkspace files
Copy completed Task snapshotsTask synchronization
Configure service access and tokensAuthentication
Host a service with or without StudioDeployment
Use CLI direct access or Studio forwardingRemote machines
Forward configured HTTP requestsHTTP proxy
Schedule recurring JobsScheduling
Send task notifications through DingTalkNotifications
Diagnose failures, back up, and recover recordsTroubleshooting and recovery

Establish the execution environment ​

A remote service owns its plugins, data, worker processes, and workspace. Direct CLI access uses the target service token; Studio uses the local token and forwards through its same-origin backend to a configured target. Use the same execution target for submission, waiting, logs, and artifact queries.

Task synchronization copies terminal Task directories. Prepare raw data, plugin dependencies, model credentials, and Agent session environments separately. See workspace concepts for storage boundaries and client configuration for connection precedence.

Preserve evidence while maintaining the service ​

Retain distinct Task identities for experiments. A fixed-name rerun replaces a finished directory; deletion removes records and artifacts. Cancellation and service shutdown affect workers but do not provide resumable execution. Read task lifecycle before choosing cleanup or recovery actions.

Agent-native quant research.