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Conversational AI & Chatbot APIs · 3 APIs

Developer Conversational AI & Autonomous Chatbot REST APIs

Conversational AI REST APIs for interactive customer chatbots, virtual assistants, and multi-turn task agents.

Typical Response
1-3 s
Context Memory
Multi-Turn
Safety Guardrails
Built-In
POST /api/v1/ai/chat
{
    "message": "Suggest three names for a budgeting app aimed at students."
}
200 OK response.json
{
    "data": {
        "result": {
            "message": "Here are three ideas: 1) PocketPlan, 2) CampusCash, 3) SemesterSaver."
        }
    }
}

Conversational AI & Chatbot APIs: 3 APIs

1 to 4 credits per call. Each one has its own page with parameters, code and examples.

  • Live

    Chat Completion

    Standard conversational AI endpoint for interactive chat and assistant-like applications.

    POST /api/v1/ai/chat
    1 credit Docs Try it
  • Live

    Knowledge Bases & Search

    Manage first-class AI knowledge bases, index FAQs, plain text, and PDF documents, and perform grounded vector search & Q&A.

    POST /api/v1/knowledge-bases
    1 credit Docs Try it
  • Live

    AI Support Chatbots

    Build customer-facing AI support chatbots with connected knowledge bases, client-managed actions, and automatic conversation context.

    POST /api/v1/chatbots
    4 credits Docs Try it
Definition

What are the Conversational AI & Chatbot APIs?

RSFlowHub Conversational AI APIs provide production-ready multi-turn dialogue capabilities for interactive agents and virtual assistants. Featuring built-in context memory management, custom system persona instructions, and safety guardrails, these endpoints power seamless conversational workflows across web, mobile, and messaging platforms.

APIs
3
Price
1 to 4 credits per call
Authentication
X-API-Key header
Format
JSON in, JSON out
Typical response
1 to 3 seconds
Fallback
Automatic, failed calls not charged

Quickstart

A real request to POST /api/v1/ai/chat. Every API in this category works the same way.

request.sh
curl -X POST "https://rsflowhub.com/api/v1/ai/chat" \
  -H "X-API-Key: rfh_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{"message":"Suggest three names for a budgeting app aimed at students."}'
response.json
{
    "success": true,
    "request_id": "req_3f9a2c7e-5b1d-4e8a-9c2f-7d6e1a0b4c8d",
    "data": {
        "result": {
            "message": "Here are three ideas: 1) PocketPlan, 2) CampusCash, 3) SemesterSaver."
        }
    },
    "meta": {
        "version": "v1",
        "timestamp": "2026-10-05T09:30:00Z"
    }
}

Why teams use Conversational AI & Chatbot APIs

Multi-Turn Dialogue Context

Maintains conversation history and user preferences across interactive sessions.

Custom Persona & System Instructions

Easily customize agent tone, behavior guidelines, and enterprise branding rules.

Automated Safety Guardrails

Protects brand reputation by filtering offensive, off-topic, and toxic inputs.

Use cases

Typical pipelines built with Conversational AI & Chatbot APIs.

24/7 Tier-1 Customer Support Virtual Agent

Deploy intelligent assistants that answer billing queries, explain features, and guide users through onboarding flows.

  1. User Chat Message
  2. Conversation API
  3. Real-Time Assistant Response

Interactive E-Commerce Product Recommender

Guide shoppers to the right product catalog item through natural conversational questions and preference matching.

  1. Shopper Query
  2. Dialogue Agent
  3. Curated Product Suggestions

Interactive SaaS Onboarding & Product Tours

Provide an in-app interactive AI co-pilot answering feature questions and showing workflows inside web applications.

  1. In-App Help Prompt
  2. Co-Pilot API
  3. Step-by-Step Guidance

RSFlowHub vs provider SDKs vs self-hosting

How the Conversational AI & Chatbot APIs compare with calling a provider directly or running your own models.

TopicRSFlowHubProvider SDKSelf-hosted
Persona Enforcement Strict System Role AdherencePrompt Injection VulnerabilitiesRequires Specialized Fine-Tuning
Failover Routing Automatic Provider FallbackRegional Downtime RiskSingle Node Vulnerability
Billing Predictability Unified Credits (USD/INR)Fluctuating Monthly TokensFixed GPU Server Overhead

Frequently asked questions

How does the Conversational AI API maintain chat history?
You pass the messages array containing previous user and assistant turns. The gateway optimizes context windows to maintain dialogue continuity without token bloat.
Can I customize the personality and instructions of the chatbot?
Yes. Supplying a system role message allows you to set specific guidelines, domain knowledge constraints, and tone of voice.
What is the latency for conversational responses?
Chat replies usually start within 1 to 3 seconds depending on the model and context size, which suits real-time customer chat interfaces.
Can the chatbot trigger external actions or webhooks?
Yes. Endpoints return structured JSON action cues when specific customer intents (e.g. create_ticket, cancel_account) are recognized.
Is conversational data logged or used for training?
No. RSFlowHub does not use your text to train AI models. Request text is sent to the selected AI provider only to produce the result, usage metadata (character counts and credits) is logged for billing, and identical requests may be cached for up to 24 hours so repeats cost less.

Other API categories

All categories

Build with Conversational AI & Chatbot APIs

Free plan with 100 credits/month + 1,000 bonus credits when you sign in before 23 Nov. One key works for every API in every category.

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