stream-chain

Multi-agent workflow orchestration coordinates streaming outputs across multiple agents, passing each step's output to the next. You define custom chains using prompts or invoke predefined pipelines to automate complex sequential data transformations.

Yes, streaming pipelines support chaining multiple prompts sequentially. You execute user-defined prompt sequences where outputs flow from one step to the next in real time, enabling collaborative automation and complex data transformations.

Context propagation maintains full output history across steps for accurate downstream processing. Memory integration ensures that each agent in the workflow receives the complete context of previous outputs, preserving data integrity throughout the chain.

Predefined pipelines allow you to reuse battle-tested workflows for common development tasks. Instead of building custom chains from scratch, you invoke ready-to-run pipelines to standardize and automate repetitive code pipeline operations.

Yes, complex data transformation chains support configurable timeouts and verbose options. You can also leverage optional resources like scripts, references, and assets to extend workflow capabilities when provided.

Use custom chains when you need to execute specific user-defined prompt sequences for unique tasks. Choose predefined pipelines when you need to reuse established workflows for common development tasks, reducing manual handoffs and coordination overhead.