How Should Users Integrate Transcend AI Agents with Transcend’s products?

How Should Users Integrate Transcend AI Agents with Transcend’s products?

Transcend AI Agents integrate with TranscendConnect through three main layers of APIs: (1) external REST/SMPP/HTTP-style APIs on gateways, (2) Kafka topics for events and commands, and (3) internal Java container APIs (SIP Servlets and JAIN‑SLEE) when you want deep, in-platform logic.

  1. High-level integration patterns

For most real deployments, the best pattern is:

  • Bot as a standalone service
    • Runs as a web service that exposes REST/webhook endpoints (for channels like web, WhatsApp, SMS, voice).
    • Talks to TranscendConnect modules over REST/HTTP, SMPP (for SMS/A2P), and Kafka for events/commands.
  • TranscendConnect as the telecom edge and event backbone
    • Border Gateway terminates SIP/SS7/Diameter and pushes structured events into Kafka; it also exposes management/config APIs.
    • A2P Gateway and SMSC expose SMPP and/or HTTP REST APIs for sending/receiving messages and delivery reports.
  1. APIs for Border Gateway + Transcend AI Agents

Typical integration for network‑aware Transcend AI Agents:

  • Kafka integration
    • Border Gateway publishes call/signaling/events (CDRs, DLRs, alerts) to Kafka topics; the bot service consumes these topics to get real-time context and produces “action” messages (e.g., “notify user,” “throttle route,” “open ticket”).
    • Use native Kafka client libraries from the bot, or a REST Proxy if you want HTTP-only integration into Kafka.
  • REST / management APIs
    • Use REST endpoints on your Border Gateway / OSS wrapper for: creating/modifying routing rules, querying subscriber or partner status, triggering tests (pings, call traces), or pulling KPIs that the bot surfaces conversationally.
    • This keeps the bot stateless and lets Border Gateway remain the system of record for configuration and policy.
  • Internal Java APIs (advanced option)
    • If you want the “bot brain” to partly live inside the platform:
      • Expose services using SIP Servlets for SIP signaling flows (Java SIP Servlet API).
      • Use JAIN‑SLEE SBBs and Resource Adaptors to consume SS7/SIP/Diameter and drive logic that calls out to external AI/bot services over HTTP.
    • This is more complex but gives ultra‑low latency and carrier‑grade behavior.
  1. APIs for A2P Gateway + Transcend AI Agents

For messaging‑centric Transcend AI Agents (campaigns, customer service, alerts):

  • SMPP API
    • Use Transcend SMPP endpoints to send/receive SMS; the Transcend AI Agent connects as an SMPP client (ESME) for high‑throughput A2P traffic.
    • Delivery receipts and MO messages are received via SMPP PDUs; you map these to Transcend’s AI Agent internal events.
  • HTTP/REST messaging API
    • Use the HTTP/JSON or HTTP/XML SMS/A2P API for simpler integration from bot backends.
    • Inbound messages and delivery reports are pushed as webhooks to the bot, which updates conversation state.
  • Campaign / template APIs
    • If your A2P gateway exposes REST endpoints to create campaigns, templates, sender IDs, etc., let the bot call those so users can configure campaigns in conversation (“Create a campaign to send X to segment Y”).
  1. Recommended default architecture

For most new work we recommend:

  • Let the Transcend AI Agent live outside the telecom stack as a microservice.
  • Integrate via:
    • HTTP REST (management/config, low‑volume messaging),
    • SMPP (high‑volume A2P/SMS), and
    • Kafka (real-time events + control plane for Border Gateway and other modules).

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