Build agentic
workflows at scale.

ParaLLeM lets teams run LLM tasks with clear Python code. Switch between sync and batch mode on demand, with a 50% discount for the exact same application.

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Key benefits

Lower cost

Get up to 50% off for the exact same multistep agentic workflow.

Developer-first

Represent control flow directly in Python instead of rigid DSLs or data structures.

Scalable by default

Move from local iterations to larger workloads without rewrites.

Traceable outputs

Keep workflows readable, inspectable, and easy to reason about.

Feature highlights

Our logging and persistence layer is ideal for repeatable, production-grade workflows.

Reproducible traces
Efficient evaluation
Detailed logging
Export for fine-tuning

We support agentic features across OpenAI, Anthropic, and Google models, in Sync, Async, and Batch execution modes.

Structured output
Function calling
Web search
Multimodal input

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Join the waitlist for release notes, examples, and documentation updates.