Dify is a platform for building and operating production agentic workflows, retrieval-augmented generation pipelines, model applications and tool-enabled agents across cloud or self-hosted deployments. Teams should protect credentials and datasets, enforce tenant and tool permissions, test retrieval, prompts and autonomous actions, monitor traces and costs, evaluate models, secure deployments, and retain accountable engineering approval.
Begin with authorized, minimal, non-sensitive inputs. Configure access, privacy, retention, visibility, model, citations, quality, disclosure, integration, export, moderation, safety, and spending controls. Compare results with authoritative sources, correct errors and artifacts, test the complete workflow, and retain accountable human approval before publication, trading, construction, employment, customer action, payment, or deployment.
A free Sandbox plan and open-source self-hosting are available. Cloud Professional starts from approximately $59 per month, with Team and Enterprise options. Messages, apps, knowledge storage, models, seats, compute, support, renewal and taxes vary.
AI output can be inaccurate, speculative, biased, derivative, unsafe, technically flawed, or misleading. Review consent, copyright, commercial rights, training, retention, renewal, refunds, security, and platform rules. Financial, crypto, legal, compliance, construction, religious, health, and customer-service outputs require qualified human review.
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