Skip to main content
ElevenLabs Conversational AI lets an agent use a Custom LLM: an OpenAI-compatible endpoint you supply instead of a built-in model. Point that at the SLNG Context Router and your agent keeps its voice, prompt, and tools while gaining response caching. Prerequisites:
  • An ElevenLabs account with a Conversational AI agent you can edit.
  • An SLNG key from app.slng.ai/api-keys.
  • Your region-specific router base URL from your SLNG contact (looks like https://[region].context-router.slng.ai/v1).

​
Placeholders

​
Dashboard setup

1

Open your agent's LLM settings

In the ElevenLabs dashboard, go to Conversational AI, open your agent, and find the LLM (or Secondary LLM) section of its configuration.
Screenshot 2026 07 28 At 09 22 22

ElevenLabs agent LLM settings

2

Choose Custom LLM

Select Custom LLM as the model provider. Set:
  • Server URL / Base URL: https://india.context-router.slng.ai/v1
  • Model ID: slng/auto
  • API key: SLNG_API_KEY (stored as a secret)
ElevenLabs calls <base-url>/chat/completions with your key as a Bearer token, which is exactly what the router expects.
Screenshot 2026 07 28 At 09 23 42

Custom LLM configuration

3

Save and test the agent

Save the agent and start a test conversation. SLNG now answers every turn.

​
Verify it is routing

Check the agent’s conversation logs, or replay a turn directly with a cURL request.

Context Router

Endpoint, auth, request body, and response caching.

Voice platform integrations

Other ways to route your stack through SLNG.