by OpenAI
API access for custom integrationsChatGPT Enterprise for team deploymentsCustom GPTs for specialized use casesFunction calling for tool integration
SaaS with enterprise controls. Data not used for training in Enterprise tier. SOC 2 Type 2 certified.
Enterprise-grade encryption, SSO support, audit logs available. Data residency options limited.
Per-user licensing for Enterprise. API usage billed per token. Free tier available for individuals.
ChatGPT is OpenAI's conversational AI model that uses natural language processing to understand and respond to text input. It can assist with writing, analysis, coding, and creative tasks through a simple chat interface.
ChatGPT offers a free tier with limited access, ChatGPT Plus at $20/month per user, and ChatGPT Team at $25/month per user (minimum 2 users). Enterprise pricing is custom and includes dedicated support, advanced security, and unlimited usage.
Yes. ChatGPT Enterprise provides SOC 2 compliance, SSO, advanced admin controls, unlimited high-speed GPT-4 access, and data privacy guarantees. Enterprise data is not used for model training.
ChatGPT offers API integration for custom applications, plus native integrations with popular tools through OpenAI's API. Many third-party tools also build on ChatGPT's capabilities.
Common business uses include content creation, customer support automation, code generation, data analysis, meeting summaries, research assistance, and training materials development.
Implement exponential backoff for rate limit errors (429) and use the Retry-After header. Monitor token usage via the API response headers. Set max_tokens parameters to control costs. Implement circuit breakers for downstream failures. Cache responses when possible to reduce API calls. Use streaming responses for better user experience during longer generations.
Never send PII or sensitive data without proper data classification. Implement API key rotation and store keys in secure vaults. Use OpenAI's zero-retention API for enterprise data privacy. Apply input sanitization to prevent prompt injection attacks. Enable audit logging for all API interactions. Consider implementing a content filtering layer.
Track latency, token consumption, and error rates using OpenAI's usage dashboard and custom monitoring. Implement token counting before requests to estimate costs. Use GPT-3.5-turbo for simpler tasks to reduce expenses. Cache frequent queries and implement prompt compression techniques. Set up alerts for unusual spending patterns or performance degradation.
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