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User guide
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Union.ai Docs
User guide
Tutorials
API reference
Signup
About Union.ai
Getting started
Local setup
First project
Understanding the code
Running your workflow
Core concepts
Workflows
Standard workflows
Subworkflows and sub-launch plans
Dynamic workflows
Eager workflows
Imperative workflows
Launching workflows
Viewing workflows
Viewing workflow executions
Tasks
Map tasks
Task types
Task parameters
Launching tasks
Viewing tasks
Viewing logs
Reference tasks
Task hardware environment
Customizing task resources
Accelerators
Retries and timeouts
Task-level monitoring
Launch plans
Defining launch plans
Viewing launch plans
Notifications
Schedules
Activating and deactivating
Running launch plans
Reference launch plans
Mapping over launch plans
Reactive workflows
Actors
Actors and regular tasks
Actor examples
Artifacts
Declaring artifacts
Materializing artifacts
Consuming artifacts in workflows
Connecting workflows with artifact event triggers
Viewing artifacts
Serving
Adding your own code
Serving a Model from a Workflow With FastAPI
Caching
Workspaces
Named outputs
ImageSpec
Development cycle
Project structure
Projects and domains
Building workflows
Setting up a project
Local dependencies
ImageSpec
Running your code
Overriding parameters
Details of union run
Debugging with interactive tasks
Managing secrets
Managing API keys
Accessing AWS S3 buckets
Task resource validation
Jupyter notebooks
UnionRemote
UnionRemote examples
Decks
Data input/output
FlyteFile and FlyteDirectory
Downloading with FlyteFile and FlyteDirectory
Accessing attributes
Dataclass
Enum type
Pickle type
Pydantic BaseModel
PyTorch type
StructuredDataset
TensorFlow types
Administration
Resources
Programming
Chaining entities
Conditionals
Nested parallelism
Failure node
Union.ai Serverless
User guide
Programming
Programming
This section covers the general programming of Union.ai.
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