Deep Chat is an open-source web component for building conversational interfaces that connect to AI providers or private services and support text, files, camera, microphone and speech. Developers should protect API keys, route sensitive requests through secure servers, validate uploads and rendered Markdown, configure permissions, test accessibility and browser behavior, sanitize outputs and retain security review.
Use authorized, minimal inputs and grant integrations the least access required. Configure privacy, retention, sharing, brand, quality, accessibility, disclosure, export, moderation and spending controls. Test representative cases, verify generated facts, calculations, citations, code, translations, audio and visual details, preserve originals and version history, and retain accountable human approval before publication, hiring, customer contact, deployment or operational action.
The component is free and open source. Model APIs, hosting, speech services, storage, bandwidth, development, maintenance and commercial infrastructure may create separate costs.
AI output can be inaccurate, biased, derivative, insecure, incomplete or misleading. Review consent, copyright, likeness, voice and commercial rights, training and retention terms, renewals, refunds, platform rules and applicable law. Hiring, research, analytics, translation, media, security and customer-facing workflows require qualified human review.
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