@agentskit/adapters

@agentskit/adapters

Connect to any LLM provider — and swap between them — without touching your app code.

Tags: ai · agents · llm · agentskit · openai · anthropic · claude · gemini · chatgpt · ollama · embeddings · providers

Why adapters

• Vendor independence — switch from OpenAI to Anthropic to a local Ollama model by changing one line; your hooks, runtime, and tools stay untouched
• 10+ providers included — Anthropic, OpenAI, Gemini, Ollama, DeepSeek, Grok, Kimi, LangChain, Vercel AI SDK, and any raw ReadableStream
• Embedder functions built in — the same adapter pattern covers text embeddings, so you can reuse provider config for both chat and RAG
• One-line local AI — ollama({ model: 'llama3.1' }) for fully offline agents with no API key required

Install

npm install @agentskit/adapters

Quick example

import { anthropic, openai, ollama } from '@agentskit/adapters'
import { createRuntime } from '@agentskit/runtime'

// Switch provider by swapping one import
const adapter = anthropic({ apiKey: process.env.ANTHROPIC_API_KEY, model: 'claude-sonnet-4-6' })
// const adapter = openai({ apiKey: process.env.OPENAI_API_KEY, model: 'gpt-4o' })
// const adapter = ollama({ model: 'llama3.1' })

const runtime = createRuntime({ adapter })
const result = await runtime.run('Summarize the latest AI news')
console.log(result.content)

Embeddings (for RAG)

Use the same package for vector embeddings — wire openaiEmbedder, geminiEmbedder, or ollamaEmbedder into @agentskit/rag:

import { openaiEmbedder } from '@agentskit/adapters'
import { createRAG } from '@agentskit/rag'
import { fileVectorMemory } from '@agentskit/memory'

const rag = createRAG({
  embed: openaiEmbedder({ apiKey: process.env.OPENAI_API_KEY! }),
  store: fileVectorMemory({ path: './vectors' }),
})

Features

• Providers: Anthropic, OpenAI, Gemini, Ollama, DeepSeek, Grok, Kimi, LangChain, LangGraph, Vercel AI SDK, generic ReadableStream
• Embedders: openaiEmbedder, geminiEmbedder, ollamaEmbedder
• All adapters satisfy Adapter contract v1 (ADR 0001) — substitutable anywhere in the ecosystem
• Custom adapter authoring via createAdapter()

Ecosystem

Package	Role
@agentskit/core	Adapter, EmbedFn, types
@agentskit/runtime	Headless createRuntime
@agentskit/rag	createRAG + embedders
@agentskit/memory	Vector + chat memory backends

Contributors

License

MIT — see LICENSE.

Docs

Full documentation · GitHub