About Basalt Agents
Basalt Agents is a platform for designing, testing, and deploying multi-step AI workflows built from sequences of prompts and actions. It combines a visual flow builder with dataset-driven evaluation and an SDK for integrating tested agents into product codepaths.
Review
Basalt Agents focuses on closing the gap between prompt experiments and production-ready AI features by treating an agentic workflow as a single evaluable unit. The tool emphasizes step-by-step evaluation, model selection per step, and large-scale testing against real-case scenarios so teams can measure performance before shipping.
Key Features
- Create and customize multi-step flows that chain prompts and actions into end-to-end workflows.
- Select the most suitable model for each step and configure step-specific evaluation criteria.
- Run batch tests across hundreds of scenarios using dedicated datasets to quantify performance.
- Integrate results into development via an SDK and track behavior with built-in monitoring and insights.
Pricing and Value
Basalt Agents offers free options to get started, with paid tiers expected for larger teams or advanced features. The main value proposition is reducing guesswork: by enabling end-to-end evaluation of agent workflows, teams can iterate faster on model choices, prompts, and evaluation metrics, and gain more confidence when deploying AI features.
Pros
- Purpose-built for evaluating multi-step agent workflows rather than isolated prompts.
- Per-step model assignment and custom evaluation metrics provide fine-grained control.
- Batch testing on real-case datasets helps surface failure modes before deployment.
- SDK and monitoring tools make it easier to move from prototype to production.
Cons
- Teams without engineering resources may find initial setup and integration challenging.
- Some integrations or features (for example, custom code blocks) may be limited or rolling out incrementally.
- Comprehensive testing at scale can require investment in datasets and evaluation design.
Basalt Agents is best suited for engineering and product teams building complex AI features or agentic workflows that require measurable, repeatable testing. It's a practical choice for groups that need tighter observability and confidence before shipping AI-driven functionality, while smaller non-technical teams may prefer simpler, single-step tools.
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