An AI chat bot API is how you embed conversational UX in your product — support widget, onboarding coach, or internal Slack bot — without asking users to open a separate chat site.
Core components
1. Backend proxy holding the AI API key
2. Chat completions (or messages) HTTP calls
3. Session store for conversation history
4. Streaming channel to the UI (SSE/WebSocket)
Tutorials: React streaming chatbot, Node.js proxy.
Chatbot API costs
AI chat bot API bills follow the underlying provider:
- Token meters grow with history (chatbot cost 2026)
- Flat-rate APIs cap invoice surprise (what is flat-rate)
Choosing models
Start with one strong general model (GPT-5, Claude Sonnet 4, and Gemini 2.5 Pro on Daymora). Add routing later if needed (OpenRouter).
Reliability
Chat UX needs graceful failures — error handling & retries.
Compliance
If chats include PII, document retention and subprocessors — privacy.
Bottom line
An AI chatbot API integration is standard web engineering plus streaming. Nail keys, history policy, and cost model early so growth does not become a finance emergency.