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Pricing sourced from Promptfoo · Last verified March 2026
Detailed feature comparison coming soon. Visit Promptfoo's website for complete plan details.
View Full Features →Promptfoo focuses on systematic testing and evaluation with assertions and red-teaming, while LangSmith focuses on tracing and observability. They're complementary — use Promptfoo for pre-deployment testing and LangSmith for production monitoring.
Yes. You can test whether agents call the right tools with correct parameters by asserting on function call outputs and tool selection patterns.
Yes. Promptfoo generates adversarial inputs that work against any LLM provider. It uses a separate model to generate attacks and evaluates target model responses.
Yes. Promptfoo provides a CLI that exits with appropriate status codes based on pass/fail thresholds, making it easy to integrate into any CI/CD pipeline.
AI builders and operators use Promptfoo to streamline their workflow.
Try Promptfoo Now →AI observability platform for evals, production tracing, prompt management, and regression detection.
Compare Pricing →LangSmith is LangChain's commercial observability, evaluation and prompt management platform for LLM apps and agents in production.
Compare Pricing →an LLM development platform for prompt management, evaluations, logging, and trustworthy AI product iteration; the homepage announces the team joining Anthropic.
Compare Pricing →Open-source LLM evaluation framework with 50+ research-backed metrics including hallucination detection, tool use correctness, and conversational quality. Pytest-style testing for AI agents with CI/CD integration.
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