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Tencent Real-Time Communication

DocumentationTencent Real-Time Communication

Overview

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Last updated: 2026-05-11 17:31:13
Once user speech is transcribed into text, the LLM module processes the input and generates a contextually relevant response. TRTC's flexible framework lets you plug in any leading LLM — including OpenAI-compatible models and agent platforms such as Dify and Coze — so you can pick the engine that best fits your use case. With end-to-end conversation latency under 1 second globally, replies feel instant to end users. Simply configure the connection through the LLMConfig object, specifying your model, API credentials, and optional parameters such as system prompt and conversation history depth.

Available Providers

Provider
Models
Integration
Best for
OpenAI
gpt-5.5, gpt-5.4, gpt-4o-mini etc.
OpenAI-compatible
Top-tier reasoning, multimodal
Gemini
gemini-3.1-pro-preview, gemini-3-flash-previewetc.
OpenAI-compatible
Large context, cost-efficient
MiniMax
MiniMax-M2.7, MiniMax-M2.5etc.
OpenAI-compatible
Chinese language, competitive pricing
hunyuan-2.0-thinking-20251109, hunyuan-2.0-instruct-20251111etc.
OpenAI-compatible
Tencent Cloud ecosystem, Cost-competitive
Dify
Any LLM (configurable)
Platform
No-code AI workflows, RAG
Coze
Any LLM (configurable)
Platform
No-code bot builder, plugins
Note:
OpenAI-compatible providers (OpenAI, Gemini, MiniMax, Hunyuan) share a unified configuration structure. Platform providers (Dify, Coze) have their own dedicated config — see each sub-page for details.
For the complete LLM parameter reference, see the TRTC Conversational AI API Reference.

LLM HTTP Request Headers

TRTC automatically adds the following headers to each LLM request, which can be used for logging, routing, or debugging:
X-Task-Id: <task_id_value>       // Task ID
X-Request-Id: <request_id>       // Request ID (same for retries)
X-Sdk-App-Id: SdkAppId
X-User-Id: UserId
X-Room-Id: RoomId
X-Room-Id-Type: "0"              // "0" = numeric, "1" = string

Header Reference

Header
Description
X-Task-Id
Unique task identifier for the current AI conversation session.
X-Request-Id
Request identifier. Remains the same across retries for the same request.
X-Sdk-App-Id
Your TRTC application's SdkAppId.
X-User-Id
The user ID in the current conversation.
X-Room-Id
The room ID of the current TRTC session.
X-Room-Id-Type
Room ID type. "0" = numeric, "1" = string.
Note:
These headers are useful when you want to track or route LLM requests through a proxy or logging service.
Next Topic: Release Notes

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