Models & Providers

This guide covers configuring text/chat Model Providers for your Cognidesk agent.

For external support systems such as email, ticketing, messaging, social, workplace, and contact-center platforms, use Provider Integrations. Model adapters decide how Cognidesk calls language models. Provider Integrations decide how Cognidesk reaches external support surfaces.

Voice speech providers such as ElevenLabs, Azure Speech, AWS Speech, Google Cloud Speech, and Deepgram are also separate from text/chat Model Providers: they perform STT/TTS, while the Cognidesk Agent Model Set remains the background LLM.

Model configuration

Cognidesk uses one model set with named roles. @cognidesk/model adapts Vercel AI SDK language and embedding models to the ModelAdapter contract in @cognidesk/core.

import { createOpenAI } from "@ai-sdk/openai";
import { createModelSet } from "@cognidesk/model";

const openai = createOpenAI({ apiKey: process.env.OPENAI_API_KEY });

const models = createModelSet({
  response: openai.responses(requireEnv("OPENAI_RESPONSE_MODEL")),
  matcher: openai.responses(requireEnv("OPENAI_MATCHER_MODEL")),
  extraction: openai.responses(requireEnv("OPENAI_EXTRACTION_MODEL")),
  citationPostProcessing: openai.responses(requireEnv("OPENAI_CITATION_MODEL")),
  compaction: openai.responses(requireEnv("OPENAI_COMPACTION_MODEL")),
  journeyEmbedding: openai.embedding(requireEnv("OPENAI_EMBEDDING_MODEL")),
});

const runtime = createRuntime({
  storage,
  agent,
  models,
});

function requireEnv(name: string) {
  const value = process.env[name];
  if (!value) throw new Error(`${name} is required.`);
  return value;
}

Supported model providers

Source	How it connects
OpenAI	Install a Vercel AI SDK OpenAI provider such as @ai-sdk/openai, then pass its language and embedding models to createModelSet.
OpenRouter	Install an AI SDK compatible OpenRouter provider such as @openrouter/ai-sdk-provider, then pass its roles to createModelSet.
Anthropic, Google, Mistral, Cohere, Groq, xAI, Azure OpenAI, and similar providers	Install the matching AI SDK provider package and pass its language model handles to createModelSet. Use a compatible embedding provider for journeyEmbedding.
Custom provider	Implement ModelAdapter from @cognidesk/core, or provide any AI SDK compatible LanguageModel and EmbeddingModel.

Model adapter interface

import type { ModelAdapter } from "@cognidesk/core";

const customModel: ModelAdapter = {
  provider: "custom",
  model: "support-model",
  async generateText(input) {
    return { text: "..." };
  },
  async embed(input) {
    return { embedding: [], model: "support-embedding", dimensions: 0 };
  },
};

Journey embedding model

Journey activation uses embeddings to match user intent to journey conditions:

import { buildJourneyIndex } from "@cognidesk/core";

const journeyIndex = await buildJourneyIndex(agent, {
  embeddingModel: models.journeyEmbedding,
});