Lower cost
Get up to 50% off for the exact same multistep agentic workflow.
Parallel agents
at scale.
Easily switch between sync and batch mode, with a 50% discount for the exact same application. Write LLM tasks in clear Python code.
Benefits
Developer-first
Represent control flow directly in readable Python instead of DSLs or data structures.
Scalable by default
Move from local iterations to larger workloads in one step.
Traceable outputs
Exportable traces make workflows inspectable and easy to reason about.
Use cases
Tangible speedups and cost savings for:
Document processing
Batch process and summarize thousands of documents.
Data analysis
Run repeatable analysis pipelines over unstructured data.
Evaluation
Reproducible runs and side-by-side outputs for model improvements.
Write once, run anywhere
Keep the same orchestration code and flip strategy or provider in one line.
Strategy
Provider
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