Add support for Mastra AI Agent framework

Introduced `@agentic/mastra` for integrating with the Mastra AI agent
framework.
Updated documentation and examples to reflect the new framework
support.

docs/intro.mdx

@@ -8,11 +8,12 @@ Agentic's standard library of TypeScript AI tools are **optimized for both TS-us
 Agentic tools work with any LLM capable of function calling and all of the major TS AI SDKs, including:
 
 - Vercel AI SDK
+- OpenAI
 - LangChain
 - LlamaIndex
+- Mastra
 - Firebase Genkit
 - Dexa Dexter
-- OpenAI
 
 <Frame style={{ maxWidth: 308, margin: '0 auto' }}>
   <img src='/media/agentic-header.jpg' alt='Agentic header' />

docs/mint.json

@@ -42,6 +42,7 @@
       "group": "AI SDKs",
       "pages": [
         "sdks/ai-sdk",
+        "sdks/mastra",
         "sdks/langchain",
         "sdks/llamaindex",
         "sdks/genkit",

docs/quickstart.mdx

@@ -194,7 +194,7 @@ title: Quick Start
     </AccordionGroup>
 
     <Note>
-      You can use Agentic without any of these AI SDKs. `@agentic/core`, `@agentic/stdlib`, and all individual tool packages are completely agnostic to specific LLMs and AI SDKs.
+      You can use Agentic without any of these AI SDKs. `@agentic/core`, `@agentic/stdlib`, and all individual tool packages are compatible with any LLM and AI SDK that supports function calling / tool use.
     </Note>
 
   </Step>

docs/sdks/ai-sdk.mdx

@@ -27,8 +27,6 @@ pnpm add @agentic/ai-sdk ai
 
 ## Usage
 
-This example also requires you to install `@ai-sdk/openai`.
-
 ```ts
 import 'dotenv/config'
 
@@ -55,6 +53,23 @@ async function main() {
 await main()
 ```
 
+Note that this example snippet also requires you to install the AI SDK's OpenAI provider, the Agentic weather tool, and `dotenv`.
+
+<CodeGroup>
+```bash npm
+npm install @ai-sdk/openai @agentic/weather dotenv
+```
+
+```bash yarn
+yarn add @ai-sdk/openai @agentic/weather dotenv
+```
+
+```bash pnpm
+pnpm add @ai-sdk/openai @agentic/weather dotenv
+```
+
+</CodeGroup>
+
 ## Running this example
 
 <Info>

docs/sdks/mastra.mdx

@@ -0,0 +1,93 @@
+---
+title: Mastra
+description: Agentic adapter for the Mastra AI Agent framework.
+---
+
+- package: `@agentic/mastra`
+- exports: `function createMastraTools`
+- [source](https://github.com/transitive-bullshit/agentic/blob/main/packages/mastra/src/mastra.ts)
+- [Mastra docs](https://mastra.ai/docs)
+
+## Install
+
+<CodeGroup>
+```bash npm
+npm install @agentic/mastra @mastra/core
+```
+
+```bash yarn
+yarn add @agentic/mastra @mastra/core
+```
+
+```bash pnpm
+pnpm add @agentic/mastra @mastra/core
+```
+
+</CodeGroup>
+
+## Usage
+
+```ts
+import 'dotenv/config'
+
+import { createMastraTools } from '@agentic/mastra'
+import { WeatherClient } from '@agentic/weather'
+import { openai } from '@ai-sdk/openai'
+import { Agent } from '@mastra/core/agent'
+
+async function main() {
+  const weather = new WeatherClient()
+
+  const weatherAgent = new Agent({
+    name: 'Weather Agent',
+    instructions: 'You are a helpful assistant. Be as concise as possible.',
+    model: openai('gpt-4o-mini'),
+    tools: createMastraTools(weather)
+  })
+
+  const res = await weatherAgent.generate(
+    'What is the weather in San Francisco?'
+  )
+  console.log(res.text)
+}
+
+await main()
+```
+
+Note that this example snippet also requires you to install the AI SDK's OpenAI provider, the Agentic weather tool, and `dotenv`.
+
+<CodeGroup>
+```bash npm
+npm install @ai-sdk/openai @agentic/weather dotenv
+```
+
+```bash yarn
+yarn add @ai-sdk/openai @agentic/weather dotenv
+```
+
+```bash pnpm
+pnpm add @ai-sdk/openai @agentic/weather dotenv
+```
+
+</CodeGroup>
+
+## Running this example
+
+<Info>
+  You'll need a free API key from [weatherapi.com](https://www.weatherapi.com)
+  to run this example. Store it in a local `.env` file as `WEATHER_API_KEY`.
+</Info>
+
+<Info>
+  You'll need an [OpenAI API key](https://platform.openai.com/docs/quickstart)
+  to run this example. Store it in a local `.env` file as `OPENAI_API_KEY`.
+</Info>
+
+```sh
+git clone git@github.com:transitive-bullshit/agentic.git
+cd agentic
+pnpm install
+echo 'WEATHER_API_KEY=your-key' >> .env
+echo 'OPENAI_API_KEY=your-key' >> .env
+npx tsx examples/mastra/bin/weather.ts
+```

docs/sdks/openai.mdx

@@ -13,15 +13,15 @@ description: How to use Agentic with the OpenAI TS SDK directly.
 
 <CodeGroup>
 ```bash npm
-npm install @agentic/core @agentic/stdlib openai
+npm install @agentic/stdlib openai
 ```
 
 ```bash yarn
-yarn add @agentic/core @agentic/stdlib openai
+yarn add @agentic/stdlib openai
 ```
 
 ```bash pnpm
-pnpm add @agentic/core @agentic/stdlib openai
+pnpm add @agentic/stdlib openai
 ```
 
 </CodeGroup>
@@ -56,12 +56,12 @@ assert(message.tool_calls?.[0]?.function?.name === 'get_current_weather')
 
 const fn = weather.functions.get('get_current_weather')!
 
-const toolParams = message.tool_calls[0].function.arguments
-const toolResult = await fn(toolParams)
+const toolArgs = message.tool_calls[0].function.arguments
+const toolResult = await fn(toolArgs)
 console.log(JSON.stringify(toolResult, null, 2))
 ```
 
-## Running this example
+### Running this example
 
 <Info>
   You'll need a free API key from [weatherapi.com](https://www.weatherapi.com)
@@ -81,3 +81,77 @@ echo 'WEATHER_API_KEY=your-key' >> .env
 echo 'OPENAI_API_KEY=your-key' >> .env
 npx tsx examples/openai/bin/weather.ts
 ```
+
+## OpenAI Responses API
+
+Agentic also supports the [OpenAI Responses API](https://platform.openai.com/docs/api-reference/responses) by referencing `AIFunctionSet.responsesToolSpecs` as in this example:
+
+```ts
+import 'dotenv/config'
+
+import type { ResponseInput } from 'openai/resources/responses/responses.mjs'
+import { WeatherClient } from '@agentic/stdlib'
+import OpenAI from 'openai'
+
+async function main() {
+  const weather = new WeatherClient()
+  const openai = new OpenAI()
+
+  const messages: ResponseInput = [
+    {
+      role: 'system',
+      content: 'You are a helpful assistant. Be as concise as possible.'
+    },
+    { role: 'user', content: 'What is the weather in San Francisco?' }
+  ]
+
+  {
+    // Call to OpenAI to invoke the weather tool
+    const res = await openai.responses.create({
+      model: 'gpt-4o-mini',
+      temperature: 0,
+      tools: weather.functions.responsesToolSpecs,
+      tool_choice: 'required',
+      input: messages
+    })
+
+    const message = res.output[0]
+    console.log(JSON.stringify(message, null, 2))
+    assert(message?.type === 'function_call')
+    assert(message.name === 'get_current_weather')
+
+    const fn = weather.functions.get('get_current_weather')!
+    const toolResult = await fn(message.arguments)
+
+    messages.push(message)
+    messages.push({
+      type: 'function_call_output',
+      call_id: message.call_id,
+      output: JSON.stringify(toolResult)
+    })
+  }
+}
+
+await main()
+```
+
+### Running this example
+
+<Info>
+  You'll need a free API key from [weatherapi.com](https://www.weatherapi.com)
+  to run this example. Store it in a local `.env` file as `WEATHER_API_KEY`.
+</Info>
+
+<Info>
+  You'll need an [OpenAI API key](https://platform.openai.com/docs/quickstart)
+  to run this example. Store it in a local `.env` file as `OPENAI_API_KEY`.
+</Info>
+
+```sh
+git clone git@github.com:transitive-bullshit/agentic.git
+cd agentic
+pnpm install
+echo 'WEATHER_API_KEY=your-key' >> .env
+echo 'OPENAI_API_KEY=your-key' >> .env
+npx tsx examples/openai/bin/weather-responses.ts
+```

docs/usage.mdx

@@ -100,6 +100,10 @@ You can pass as many of these `AIFunctionLike` objects as you'd like and you can
   Using Agentic with the Vercel AI SDK.
 </Card>
 
+<Card title='Mastra' href='/sdks/mastra'>
+  Using Agentic with Mastra.
+</Card>
+
 <Card title='LangChain' href='/sdks/langchain'>
   Using Agentic with LangChain.
 </Card>

examples/mastra/bin/weather.ts

@@ -0,0 +1,24 @@
+import 'dotenv/config'
+
+import { createMastraTools } from '@agentic/mastra'
+import { WeatherClient } from '@agentic/weather'
+import { openai } from '@ai-sdk/openai'
+import { Agent } from '@mastra/core/agent'
+
+async function main() {
+  const weather = new WeatherClient()
+
+  const weatherAgent = new Agent({
+    name: 'Weather Agent',
+    instructions: 'You are a helpful assistant. Be as concise as possible.',
+    model: openai('gpt-4o-mini'),
+    tools: createMastraTools(weather)
+  })
+
+  const res = await weatherAgent.generate(
+    'What is the weather in San Francisco?'
+  )
+  console.log(res.text)
+}
+
+await main()

examples/mastra/package.json

@@ -0,0 +1,20 @@
+{
+  "name": "agentic-examples-mastra",
+  "type": "module",
+  "private": true,
+  "scripts": {
+    "test": "run-s test:*",
+    "test:lint": "eslint .",
+    "test:typecheck": "tsc --noEmit"
+  },
+  "dependencies": {
+    "@agentic/mastra": "workspace:*",
+    "@agentic/weather": "workspace:*",
+    "@ai-sdk/openai": "^1.2.5",
+    "@mastra/core": "^0.6.0",
+    "zod": "^3.24.2"
+  },
+  "devDependencies": {
+    "@agentic/tsconfig": "workspace:*"
+  }
+}

examples/mastra/tsconfig.json

@@ -0,0 +1,5 @@
+{
+  "extends": "@agentic/tsconfig/base.json",
+  "include": ["bin"],
+  "exclude": ["node_modules", "dist"]
+}

packages/core/src/create-ai-function.ts

@@ -61,6 +61,7 @@ export function createAIFunction<InputSchema extends z.ZodObject<any>, Output>(
     input: string | types.Msg
   ) => {
     const parsedInput = parseInput(input)
+
     return implementation(parsedInput)
   }
 
@@ -81,7 +82,12 @@ export function createAIFunction<InputSchema extends z.ZodObject<any>, Output>(
     type: 'function',
     strict
   }
-  aiFunction.impl = implementation
+  aiFunction.impl = (
+    params: z.infer<InputSchema>
+  ): types.MaybePromise<Output> => {
+    console.error(spec.name, params)
+    return implementation(params)
+  }
 
   return aiFunction
 }

packages/mastra/package.json

@@ -0,0 +1,47 @@
+{
+  "name": "@agentic/mastra",
+  "version": "0.1.0",
+  "description": "Agentic adapter for the Mastra AI Agent SDK.",
+  "author": "Travis Fischer <travis@transitivebullsh.it>",
+  "license": "MIT",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/transitive-bullshit/agentic.git"
+  },
+  "type": "module",
+  "source": "./src/index.ts",
+  "types": "./dist/index.d.ts",
+  "sideEffects": false,
+  "exports": {
+    ".": {
+      "types": "./dist/index.d.ts",
+      "import": "./dist/index.js",
+      "default": "./dist/index.js"
+    }
+  },
+  "files": [
+    "dist"
+  ],
+  "scripts": {
+    "build": "tsup --config ../../tsup.config.ts",
+    "dev": "tsup --config ../../tsup.config.ts --watch",
+    "clean": "del dist",
+    "test": "run-s test:*",
+    "test:lint": "eslint .",
+    "test:typecheck": "tsc --noEmit",
+    "test:unit": "vitest run"
+  },
+  "dependencies": {
+    "@agentic/core": "workspace:*"
+  },
+  "peerDependencies": {
+    "@mastra/core": "^0.6.0"
+  },
+  "devDependencies": {
+    "@agentic/tsconfig": "workspace:*",
+    "@mastra/core": "^0.6.0"
+  },
+  "publishConfig": {
+    "access": "public"
+  }
+}

packages/mastra/readme.md

@@ -0,0 +1,24 @@
+<p align="center">
+  <a href="https://agentic.so">
+    <img alt="Agentic" src="https://raw.githubusercontent.com/transitive-bullshit/agentic/main/docs/media/agentic-header.jpg" width="308">
+  </a>
+</p>
+
+<p align="center">
+  <em>Agentic adapter for the Mastra AI Agent SDK.</em>
+</p>
+
+<p align="center">
+  <a href="https://github.com/transitive-bullshit/agentic/actions/workflows/main.yml"><img alt="Build Status" src="https://github.com/transitive-bullshit/agentic/actions/workflows/main.yml/badge.svg" /></a>
+  <a href="https://www.npmjs.com/package/@agentic/stdlib"><img alt="NPM" src="https://img.shields.io/npm/v/@agentic/stdlib.svg" /></a>
+  <a href="https://github.com/transitive-bullshit/agentic/blob/main/license"><img alt="MIT License" src="https://img.shields.io/badge/license-MIT-blue" /></a>
+  <a href="https://prettier.io"><img alt="Prettier Code Formatting" src="https://img.shields.io/badge/code_style-prettier-brightgreen.svg" /></a>
+</p>
+
+# Agentic
+
+**See the [github repo](https://github.com/transitive-bullshit/agentic) or [docs](https://agentic.so) for more info.**
+
+## License
+
+MIT © [Travis Fischer](https://x.com/transitive_bs)

packages/mastra/src/index.ts

@@ -0,0 +1 @@
+export * from './mastra'

packages/mastra/src/mastra.test.ts

@@ -0,0 +1,10 @@
+import { EchoAITool } from '@agentic/core'
+import { describe, expect, test } from 'vitest'
+
+import { createMastraTools } from './mastra'
+
+describe('mastra', () => {
+  test('createMastraTools', () => {
+    expect(createMastraTools(new EchoAITool())).toHaveProperty('echo')
+  })
+})

packages/mastra/src/mastra.ts

@@ -0,0 +1,22 @@
+import { type AIFunctionLike, AIFunctionSet } from '@agentic/core'
+import { createTool } from '@mastra/core/tools'
+
+/**
+ * Converts a set of Agentic stdlib AI functions to an object compatible with
+ * the Mastra Agent `tools` format.
+ */
+export function createMastraTools(...aiFunctionLikeTools: AIFunctionLike[]) {
+  const fns = new AIFunctionSet(aiFunctionLikeTools)
+
+  return Object.fromEntries(
+    fns.map((fn) => [
+      fn.spec.name,
+      createTool({
+        id: fn.spec.name,
+        description: fn.spec.description,
+        inputSchema: fn.inputSchema,
+        execute: (ctx) => fn.impl(ctx.context)
+      })
+    ])
+  )
+}

packages/mastra/tsconfig.json

@@ -0,0 +1,5 @@
+{
+  "extends": "@agentic/tsconfig/base.json",
+  "include": ["src"],
+  "exclude": ["node_modules", "dist"]
+}

packages/stdlib/package.json

@@ -52,6 +52,7 @@
     "@agentic/langchain": "workspace:*",
     "@agentic/leadmagic": "workspace:*",
     "@agentic/llamaindex": "workspace:*",
+    "@agentic/mastra": "workspace:*",
     "@agentic/midjourney": "workspace:*",
     "@agentic/novu": "workspace:*",
     "@agentic/people-data-labs": "workspace:*",

readme.md

@@ -21,6 +21,7 @@
 - [Docs](#docs)
 - [AI SDKs](#ai-sdks)
   - [Vercel AI SDK](#vercel-ai-sdk)
+  - [Mastra](#mastra)
   - [LangChain](#langchain)
   - [LlamaIndex](#llamaindex)
   - [Firebase Genkit](#firebase-genkit)
@@ -33,7 +34,7 @@
 
 ## Intro
 
-Agentic is a **standard library of AI functions / tools** which are **optimized for both normal TS-usage as well as LLM-based usage**. Agentic works with all of the major TS AI SDKs (LangChain, LlamaIndex, Vercel AI SDK, OpenAI SDK, etc).
+Agentic is a **standard library of AI functions / tools** which are **optimized for both normal TS-usage as well as LLM-based usage**. Agentic works with all of the major TS AI SDKs (Vercel AI SDK, Mastra, LangChain, LlamaIndex, OpenAI SDK, etc).
 
 Agentic clients like `WeatherClient` can be used as normal TS classes:
 
@@ -120,6 +121,10 @@ Full docs are available at [agentic.so](https://agentic.so).
 
 [Agentic adapter docs for the Vercel AI SDK](https://agentic.so/sdks/ai-sdk)
 
+### Mastra
+
+[Agentic adapter docs for the Mastra AI Agent framework](https://agentic.so/sdks/mastra)
+
 ### LangChain
 
 [Agentic adapter docs for LangChain](https://agentic.so/sdks/langchain)