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LLM

Novita AI

NovitaLLMService streams chat completions from Novita AI through its OpenAI-compatible API.

Overview

Novita AI serves open models through an OpenAI-compatible API.

  • NovitaLLMService: an OpenAILLMService subclass with Novita AI's base URL and default model.

Installation

bun add @pipedog/novita

It depends on @pipedog/openai, which is installed with it.

import { NovitaLLMService } from "@pipedog/novita/llm";

Prerequisites

  • A Novita AI account and an API key from Novita AI.
  • Pass the key as apiKey. It is required, and the service never falls back to OPENAI_API_KEY. The examples read it from NOVITA_API_KEY.

NovitaLLMService

Configuration

Prop

Type

The other options (organization, project, defaultHeaders, serviceTier, retryOnTimeout, retryTimeoutSecs, function calling) are OpenAILLMService's. See OpenAI.

Base URLhttps://api.novita.ai/openai
Default modelmoonshotai/kimi-k2.5
Models to trymoonshotai/kimi-k2.5, openai/gpt-oss-120b. See the provider's catalog for the rest.

Settings

Runtime-updatable settings, passed as settings: new NovitaLLMService.Settings({...}) (NovitaLLMSettings). They are OpenAI's settings, with these defaults:

SettingTypeDefaultDescription
modelstring"moonshotai/kimi-k2.5"Model name.

Every other setting keeps OpenAI's default. Unset sampling settings are left out of the request, so the provider's own defaults apply. extra carries provider-specific request fields.

Usage

llm.ts
import { LLMUpdateSettingsFrame } from "@pipedog/core/frames/frames";
import { NovitaLLMService } from "@pipedog/novita/llm";

const llm = new NovitaLLMService({
  apiKey: process.env.NOVITA_API_KEY ?? "",
  settings: new NovitaLLMService.Settings({
    model: "moonshotai/kimi-k2.5",
    systemInstruction: "You are a helpful assistant in a voice conversation.",
    temperature: 0.7,
  }),
});

Change settings mid-call with an LLMUpdateSettingsFrame. The next completion uses them:

// Queue it on the worker, or push it from a processor upstream of the service.
const update = new LLMUpdateSettingsFrame({
  delta: new NovitaLLMService.Settings({ temperature: 0.2, maxTokens: 300 }),
});

Notes

  • Runs a completion for each LLMContextFrame, between an LLMFullResponseStartFrame and an LLMFullResponseEndFrame, and streams the reply as LLMTextFrames, as OpenAILLMService does. Function calls, token usage metrics and runInference work the same way.
  • "developer" messages are sent as is: the API supports that role.

Runtime notes

RuntimeWorksWhat it needs
Bun✅ yesNothing.
Node.js✅ yesNothing.
Deno✅ yesNothing.
Cloudflare Workers✅ yesNothing.

Generated from pipecat.runtimes and pipecat.compat in packages/novita/package.json: ✅ means the compat smoke test passes on that runtime.

  • The client is the official openai JS SDK (through @pipedog/openai), which talks through fetch. It works on Bun, Node, Deno and Cloudflare Workers.
  • The deprecated model constructor option is not ported. Use settings.
  • Tested against a local OpenAI-compatible mock server, not against Novita AI itself.

pipedog is an unofficial community TypeScript port of Pipecat. It is not affiliated with or endorsed by Daily or the Pipecat project.

Portions adapted from the Pipecat documentation, Copyright (c) 2024–2025 Daily, BSD-2-Clause (see apps/docs/LICENSE-pipecat-docs).

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