feat: refactor stdlib packages to their own folder with MIT license

license

@@ -2,6 +2,12 @@ Agentic is open source licensed under the [GNU AGPL 3.0 license](https://choosea
 
 Some of Agentic's public packages are licensed under the more permissive [MIT license](https://choosealicense.com/licenses/mit/). If a directory includes an MIT license file, that overrides the default. If it doesn't, then that code and all code under that subdirectory defaults to Agentic's general [GNU AGPL 3.0 license](https://choosealicense.com/licenses/agpl-3.0/).
 
+All Agentic packages under the `apps/`, `examples/`, `docs/`, and `packages/` folders are AGPL-3.0 licensed.
+
+All Agentic packages under the `stdlib/` folder are MIT licensed.
+
+---
+
                     GNU AFFERO GENERAL PUBLIC LICENSE
                        Version 3, 19 November 2007
 

packages/ai-sdk/src/ai-sdk.test.ts

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

packages/genkit/src/genkit.test.ts

@@ -1,12 +0,0 @@
-import { EchoAITool } from '@agentic/core'
-import { Genkit } from 'genkit'
-import { describe, expect, test } from 'vitest'
-
-import { createGenkitTools } from './genkit'
-
-describe('genkit', () => {
-  test('createGenkitTools', () => {
-    const genkit = new Genkit()
-    expect(createGenkitTools(genkit, new EchoAITool())).toHaveLength(1)
-  })
-})

packages/genkit/src/genkit.ts

@@ -1,35 +0,0 @@
-import type { Genkit } from 'genkit'
-import {
-  type AIFunctionLike,
-  AIFunctionSet,
-  asZodOrJsonSchema,
-  isZodSchema
-} from '@agentic/core'
-import { z } from 'zod'
-
-/**
- * Converts a set of Agentic stdlib AI functions to an array of Genkit-
- * compatible tools.
- */
-export function createGenkitTools(
-  genkit: Genkit,
-  ...aiFunctionLikeTools: AIFunctionLike[]
-) {
-  const fns = new AIFunctionSet(aiFunctionLikeTools)
-
-  return fns.map((fn) => {
-    const inputSchemaKey = isZodSchema(fn.inputSchema)
-      ? ('inputSchema' as const)
-      : ('inputJsonSchema' as const)
-
-    return genkit.defineTool(
-      {
-        name: fn.spec.name,
-        description: fn.spec.description,
-        [inputSchemaKey]: asZodOrJsonSchema(fn.inputSchema),
-        outputSchema: z.any()
-      },
-      fn.execute
-    )
-  })
-}

packages/langchain/src/langchain.test.ts

@@ -1,10 +0,0 @@
-import { EchoAITool } from '@agentic/core'
-import { describe, expect, test } from 'vitest'
-
-import { createLangChainTools } from './langchain'
-
-describe('langchain', () => {
-  test('createLangChainTools', () => {
-    expect(createLangChainTools(new EchoAITool())).toHaveLength(1)
-  })
-})

packages/langchain/src/langchain.ts

@@ -1,29 +0,0 @@
-import {
-  type AIFunctionLike,
-  AIFunctionSet,
-  asZodOrJsonSchema,
-  stringifyForModel
-} from '@agentic/core'
-import { DynamicStructuredTool } from '@langchain/core/tools'
-
-/**
- * Converts a set of Agentic stdlib AI functions to an array of LangChain-
- * compatible tools.
- */
-export function createLangChainTools(...aiFunctionLikeTools: AIFunctionLike[]) {
-  const fns = new AIFunctionSet(aiFunctionLikeTools)
-
-  return fns.map(
-    (fn) =>
-      new DynamicStructuredTool({
-        name: fn.spec.name,
-        description: fn.spec.description,
-        schema: asZodOrJsonSchema(fn.inputSchema),
-        func: async (input) => {
-          const result = await Promise.resolve(fn.execute(input))
-          // LangChain tools require the output to be a string
-          return stringifyForModel(result)
-        }
-      })
-  )
-}

packages/llamaindex/src/llamaindex.test.ts

@@ -1,10 +0,0 @@
-import { EchoAITool } from '@agentic/core'
-import { describe, expect, test } from 'vitest'
-
-import { createLlamaIndexTools } from './llamaindex'
-
-describe('llamaindex', () => {
-  test('createLlamaIndexTools', () => {
-    expect(createLlamaIndexTools(new EchoAITool())).toHaveLength(1)
-  })
-})

packages/llamaindex/src/llamaindex.ts

@@ -1,25 +0,0 @@
-import {
-  type AIFunctionLike,
-  AIFunctionSet,
-  asZodOrJsonSchema
-} from '@agentic/core'
-import { FunctionTool } from 'llamaindex'
-
-/**
- * Converts a set of Agentic stdlib AI functions to an array of LlamaIndex-
- * compatible tools.
- */
-export function createLlamaIndexTools(
-  ...aiFunctionLikeTools: AIFunctionLike[]
-) {
-  const fns = new AIFunctionSet(aiFunctionLikeTools)
-
-  return fns.map((fn) =>
-    FunctionTool.from(fn.execute, {
-      name: fn.spec.name,
-      description: fn.spec.description,
-      // TODO: Investigate types here
-      parameters: asZodOrJsonSchema(fn.inputSchema) as any
-    })
-  )
-}

packages/mastra/src/mastra.test.ts

@@ -1,10 +0,0 @@
-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

@@ -1,30 +0,0 @@
-import { type AIFunctionLike, AIFunctionSet, isZodSchema } 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) => {
-      if (!isZodSchema(fn.inputSchema)) {
-        throw new Error(
-          `Mastra tools only support Zod schemas: ${fn.spec.name} tool uses a custom JSON Schema, which is currently not supported.`
-        )
-      }
-
-      return [
-        fn.spec.name,
-        createTool({
-          id: fn.spec.name,
-          description: fn.spec.description,
-          inputSchema: fn.inputSchema,
-          execute: (ctx) => fn.execute(ctx.context)
-        })
-      ]
-    })
-  )
-}

packages/xsai/src/xsai.test.ts

@@ -1,12 +0,0 @@
-import { EchoAITool } from '@agentic/core'
-import { describe, expect, test } from 'vitest'
-
-import { createXSAITools } from './xsai'
-
-describe('xsai', () => {
-  test('createXSAITools', async () => {
-    const tools = await createXSAITools(new EchoAITool())
-    expect(tools).toHaveLength(1)
-    expect(tools[0]!.function.name).toBe('echo')
-  })
-})

packages/xsai/src/xsai.ts

@@ -1,31 +0,0 @@
-import { type AIFunctionLike, AIFunctionSet, isZodSchema } from '@agentic/core'
-import { tool } from '@xsai/tool'
-
-export type Tool = Awaited<ReturnType<typeof tool>>
-
-/**
- * Converts a set of Agentic stdlib AI functions to an object compatible with
- * the [xsAI SDK's](https://github.com/moeru-ai/xsai) `tools` parameter.
- */
-export function createXSAITools(
-  ...aiFunctionLikeTools: AIFunctionLike[]
-): Promise<Tool[]> {
-  const fns = new AIFunctionSet(aiFunctionLikeTools)
-
-  return Promise.all(
-    fns.map((fn) => {
-      if (!isZodSchema(fn.inputSchema)) {
-        throw new Error(
-          `xsAI tools only support Standard schemas like Zod: ${fn.spec.name} tool uses a custom JSON Schema, which is currently not supported.`
-        )
-      }
-
-      return tool({
-        name: fn.spec.name,
-        description: fn.spec.description,
-        parameters: fn.inputSchema,
-        execute: fn.execute
-      })
-    })
-  )
-}

pnpm-workspace.yaml

@@ -1,5 +1,6 @@
 packages:
   - packages/*
+  - stdlib/*
   - apps/*
   - examples/*
   - packages/fixtures/valid/*
@@ -18,7 +19,7 @@ catalog:
   '@dicebear/core': ^9.2.3
   '@dotenvx/dotenvx': ^1.45.1
   '@edge-runtime/vm': ^5.0.0
-  '@fisch0920/config': ^1.1.3
+  '@fisch0920/config': ^1.1.4
   '@fisch0920/drizzle-orm': ^0.43.7
   '@fisch0920/drizzle-zod': ^0.7.9
   '@hono/mcp': ^0.1.0
@@ -106,7 +107,7 @@ catalog:
   is-obj: ^3.0.0
   is-relative-url: ^4.0.0
   jsonrepair: ^3.12.0
-  knip: ^5.61.2
+  knip: ^5.61.3
   ky: ^1.8.1
   langchain: ^0.3.29
   lint-staged: ^16.1.2
@@ -174,3 +175,5 @@ ignoredBuiltDependencies:
 
 onlyBuiltDependencies:
   - '@sentry/cli'
+  - protobufjs
+  - tree-sitter

stdlib/ai-sdk/package.json

@@ -7,7 +7,7 @@
   "repository": {
     "type": "git",
     "url": "git+https://github.com/transitive-bullshit/agentic.git",
-    "directory": "packages/ai-sdk"
+    "directory": "stdlib/ai-sdk"
   },
   "type": "module",
   "sideEffects": false,

stdlib/ai-sdk/src/ai-sdk.test.ts

@@ -0,0 +1,14 @@
+import { EchoAITool } from '@agentic/core'
+import { expect, test } from 'vitest'
+
+import { createAISDKTools, createAISDKToolsFromIdentifier } from './ai-sdk'
+
+test('createAISDKTools', () => {
+  expect(createAISDKTools(new EchoAITool())).toHaveProperty('echo')
+})
+
+test('createAISDKToolsFromIdentifier', async () => {
+  await expect(
+    createAISDKToolsFromIdentifier('@agentic/search')
+  ).resolves.toHaveProperty('search')
+})

stdlib/ai-sdk/src/ai-sdk.ts

@@ -10,16 +10,18 @@ import {
 } from '@agentic/platform-tool-client'
 import { jsonSchema, type Tool, tool } from 'ai'
 
+export type AISDKTools = Record<
+  string,
+  Tool & { execute: (args: any, options: any) => PromiseLike<any> }
+>
+
 /**
  * Converts a set of Agentic stdlib AI functions to an object compatible with
  * the Vercel AI SDK's `tools` parameter.
  */
 export function createAISDKTools(
   ...aiFunctionLikeTools: AIFunctionLike[]
-): Record<
-  string,
-  Tool & { execute: (args: any, options: any) => PromiseLike<any> }
-> {
+): AISDKTools {
   const fns = new AIFunctionSet(aiFunctionLikeTools)
 
   return Object.fromEntries(
@@ -36,14 +38,28 @@ export function createAISDKTools(
   )
 }
 
+/**
+ * Creates a Vercel AI SDK's `tools` object from a hosted Agentic project or
+ * deployment identifier.
+ *
+ * You'll generally use a project identifier, which will automatically use
+ * that project's `latest` version, but if you want to target a specific
+ * version or preview deployment, you can use a fully-qualified deployment
+ * identifier.
+ *
+ * @example
+ * ```ts
+ * const tools = await createAISDKToolsFromIdentifier('@agentic/search')
+ * ```
+ */
 export async function createAISDKToolsFromIdentifier(
   projectOrDeploymentIdentifier: string,
   opts: AgenticToolClientOptions = {}
-) {
-  const toolClient = await AgenticToolClient.fromIdentifier(
+): Promise<AISDKTools> {
+  const agenticToolClient = await AgenticToolClient.fromIdentifier(
     projectOrDeploymentIdentifier,
     opts
   )
 
-  return createAISDKTools(toolClient)
+  return createAISDKTools(agenticToolClient)
 }

stdlib/core/package.json

@@ -7,7 +7,7 @@
   "repository": {
     "type": "git",
     "url": "git+https://github.com/transitive-bullshit/agentic.git",
-    "directory": "packages/core"
+    "directory": "stdlib/core"
   },
   "type": "module",
   "sideEffects": false,

stdlib/genkit/package.json

@@ -7,7 +7,7 @@
   "repository": {
     "type": "git",
     "url": "git+https://github.com/transitive-bullshit/agentic.git",
-    "directory": "packages/genkit"
+    "directory": "stdlib/genkit"
   },
   "type": "module",
   "sideEffects": false,
@@ -24,7 +24,8 @@
     "test:unit": "vitest run"
   },
   "dependencies": {
-    "@agentic/core": "workspace:*"
+    "@agentic/core": "workspace:*",
+    "@agentic/platform-tool-client": "workspace:*"
   },
   "peerDependencies": {
     "genkit": "catalog:"

stdlib/genkit/src/genkit.test.ts

@@ -0,0 +1,17 @@
+import { EchoAITool } from '@agentic/core'
+import { Genkit } from 'genkit'
+import { expect, test } from 'vitest'
+
+import { createGenkitTools, createGenkitToolsFromIdentifier } from './genkit'
+
+test('createGenkitTools', () => {
+  const genkit = new Genkit()
+  expect(createGenkitTools(genkit, new EchoAITool())).toHaveLength(1)
+})
+
+test('createGenkitToolsFromIdentifier', async () => {
+  const genkit = new Genkit()
+  const tools = await createGenkitToolsFromIdentifier(genkit, '@agentic/search')
+  expect(tools).toHaveLength(1)
+  expect(tools[0]!.name).toBe('search')
+})

stdlib/genkit/src/genkit.ts

@@ -0,0 +1,68 @@
+import type { Genkit } from 'genkit'
+import {
+  type AIFunctionLike,
+  AIFunctionSet,
+  asZodOrJsonSchema,
+  isZodSchema
+} from '@agentic/core'
+import {
+  AgenticToolClient,
+  type AgenticToolClientOptions
+} from '@agentic/platform-tool-client'
+import { z } from 'zod'
+
+export type GenkitTool = ReturnType<Genkit['defineTool']>
+
+/**
+ * Converts a set of Agentic stdlib AI functions to an array of Genkit tools.
+ */
+export function createGenkitTools(
+  genkit: Genkit,
+  ...aiFunctionLikeTools: AIFunctionLike[]
+): GenkitTool[] {
+  const fns = new AIFunctionSet(aiFunctionLikeTools)
+
+  return fns.map((fn) => {
+    const inputSchemaKey = isZodSchema(fn.inputSchema)
+      ? ('inputSchema' as const)
+      : ('inputJsonSchema' as const)
+
+    return genkit.defineTool(
+      {
+        name: fn.spec.name,
+        description: fn.spec.description,
+        [inputSchemaKey]: asZodOrJsonSchema(fn.inputSchema),
+        outputSchema: z.any()
+      },
+      fn.execute
+    )
+  })
+}
+
+/**
+ * Creates an array of Genkit tools from a hosted Agentic project or deployment
+ * identifier.
+ *
+ * You'll generally use a project identifier, which will automatically use
+ * that project's `latest` version, but if you want to target a specific
+ * version or preview deployment, you can use a fully-qualified deployment
+ * identifier.
+ *
+ * @example
+ * ```ts
+ * const genkit = new Genkit()
+ * const tools = await createGenkitToolsFromIdentifier(genkit, '@agentic/search')
+ * ```
+ */
+export async function createGenkitToolsFromIdentifier(
+  genkit: Genkit,
+  projectOrDeploymentIdentifier: string,
+  opts: AgenticToolClientOptions = {}
+): Promise<GenkitTool[]> {
+  const agenticToolClient = await AgenticToolClient.fromIdentifier(
+    projectOrDeploymentIdentifier,
+    opts
+  )
+
+  return createGenkitTools(genkit, agenticToolClient)
+}

stdlib/langchain/package.json

@@ -7,7 +7,7 @@
   "repository": {
     "type": "git",
     "url": "git+https://github.com/transitive-bullshit/agentic.git",
-    "directory": "packages/langchain"
+    "directory": "stdlib/langchain"
   },
   "type": "module",
   "sideEffects": false,
@@ -24,7 +24,8 @@
     "test:unit": "vitest run"
   },
   "dependencies": {
-    "@agentic/core": "workspace:*"
+    "@agentic/core": "workspace:*",
+    "@agentic/platform-tool-client": "workspace:*"
   },
   "peerDependencies": {
     "@langchain/core": "catalog:"

stdlib/langchain/src/langchain.test.ts

@@ -0,0 +1,17 @@
+import { EchoAITool } from '@agentic/core'
+import { expect, test } from 'vitest'
+
+import {
+  createLangChainTools,
+  createLangChainToolsFromIdentifier
+} from './langchain'
+
+test('createLangChainTools', () => {
+  expect(createLangChainTools(new EchoAITool())).toHaveLength(1)
+})
+
+test('createLangChainToolsFromIdentifier', async () => {
+  const tools = await createLangChainToolsFromIdentifier('@agentic/search')
+  expect(tools).toHaveLength(1)
+  expect(tools[0]!.name).toBe('search')
+})

stdlib/langchain/src/langchain.ts

@@ -0,0 +1,61 @@
+import {
+  type AIFunctionLike,
+  AIFunctionSet,
+  asZodOrJsonSchema,
+  stringifyForModel
+} from '@agentic/core'
+import {
+  AgenticToolClient,
+  type AgenticToolClientOptions
+} from '@agentic/platform-tool-client'
+import { DynamicStructuredTool } from '@langchain/core/tools'
+
+/**
+ * Converts a set of Agentic stdlib AI functions to an array of LangChain
+ * tools (`DynamicStructuredTool[]`).
+ */
+export function createLangChainTools(
+  ...aiFunctionLikeTools: AIFunctionLike[]
+): DynamicStructuredTool[] {
+  const fns = new AIFunctionSet(aiFunctionLikeTools)
+
+  return fns.map(
+    (fn) =>
+      new DynamicStructuredTool({
+        name: fn.spec.name,
+        description: fn.spec.description,
+        schema: asZodOrJsonSchema(fn.inputSchema),
+        func: async (input) => {
+          const result = await Promise.resolve(fn.execute(input))
+          // LangChain tools require the output to be a string
+          return stringifyForModel(result)
+        }
+      })
+  )
+}
+
+/**
+ * Creates a Vercel AI SDK's `tools` object from a hosted Agentic project or
+ * deployment identifier.
+ *
+ * You'll generally use a project identifier, which will automatically use
+ * that project's `latest` version, but if you want to target a specific
+ * version or preview deployment, you can use a fully-qualified deployment
+ * identifier.
+ *
+ * @example
+ * ```ts
+ * const tools = await createLangChainToolsFromIdentifier('@agentic/search')
+ * ```
+ */
+export async function createLangChainToolsFromIdentifier(
+  projectOrDeploymentIdentifier: string,
+  opts: AgenticToolClientOptions = {}
+): Promise<DynamicStructuredTool[]> {
+  const agenticToolClient = await AgenticToolClient.fromIdentifier(
+    projectOrDeploymentIdentifier,
+    opts
+  )
+
+  return createLangChainTools(agenticToolClient)
+}

stdlib/license

@@ -0,0 +1,25 @@
+All Agentic packages under the `stdlib/` folder are MIT licensed.
+
+---
+
+**MIT License**
+
+Copyright (c) 2025 Travis Fischer
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

stdlib/llamaindex/package.json

@@ -7,7 +7,7 @@
   "repository": {
     "type": "git",
     "url": "git+https://github.com/transitive-bullshit/agentic.git",
-    "directory": "packages/llamaindex"
+    "directory": "stdlib/llamaindex"
   },
   "type": "module",
   "sideEffects": false,
@@ -24,7 +24,8 @@
     "test:unit": "vitest run"
   },
   "dependencies": {
-    "@agentic/core": "workspace:*"
+    "@agentic/core": "workspace:*",
+    "@agentic/platform-tool-client": "workspace:*"
   },
   "peerDependencies": {
     "llamaindex": "catalog:"

stdlib/llamaindex/src/llamaindex.test.ts

@@ -0,0 +1,17 @@
+import { EchoAITool } from '@agentic/core'
+import { expect, test } from 'vitest'
+
+import {
+  createLlamaIndexTools,
+  createLlamaIndexToolsFromIdentifier
+} from './llamaindex'
+
+test('createLlamaIndexTools', () => {
+  expect(createLlamaIndexTools(new EchoAITool())).toHaveLength(1)
+})
+
+test('createLlamaIndexToolsFromIdentifier', async () => {
+  const tools = await createLlamaIndexToolsFromIdentifier('@agentic/search')
+  expect(tools).toHaveLength(1)
+  expect(tools[0]!.metadata.name).toBe('search')
+})

stdlib/llamaindex/src/llamaindex.ts

@@ -0,0 +1,57 @@
+import {
+  type AIFunctionLike,
+  AIFunctionSet,
+  asZodOrJsonSchema
+} from '@agentic/core'
+import {
+  AgenticToolClient,
+  type AgenticToolClientOptions
+} from '@agentic/platform-tool-client'
+import { FunctionTool, type JSONValue } from 'llamaindex'
+
+export type LlamaIndexTool = FunctionTool<any, JSONValue | Promise<JSONValue>>
+
+/**
+ * Converts a set of Agentic stdlib AI functions to an array of LlamaIndex
+ * tools (`FunctionTool[]`).
+ */
+export function createLlamaIndexTools(
+  ...aiFunctionLikeTools: AIFunctionLike[]
+): LlamaIndexTool[] {
+  const fns = new AIFunctionSet(aiFunctionLikeTools)
+
+  return fns.map((fn) =>
+    FunctionTool.from(fn.execute, {
+      name: fn.spec.name,
+      description: fn.spec.description,
+      // TODO: Investigate types here
+      parameters: asZodOrJsonSchema(fn.inputSchema) as any
+    })
+  )
+}
+
+/**
+ * Creates an array of LlamaIndex tools from a hosted Agentic project or
+ * deployment identifier.
+ *
+ * You'll generally use a project identifier, which will automatically use
+ * that project's `latest` version, but if you want to target a specific
+ * version or preview deployment, you can use a fully-qualified deployment
+ * identifier.
+ *
+ * @example
+ * ```ts
+ * const tools = await createLlamaIndexToolsFromIdentifier('@agentic/search')
+ * ```
+ */
+export async function createLlamaIndexToolsFromIdentifier(
+  projectOrDeploymentIdentifier: string,
+  opts: AgenticToolClientOptions = {}
+): Promise<LlamaIndexTool[]> {
+  const agenticToolClient = await AgenticToolClient.fromIdentifier(
+    projectOrDeploymentIdentifier,
+    opts
+  )
+
+  return createLlamaIndexTools(agenticToolClient)
+}

stdlib/mastra/package.json

@@ -7,7 +7,7 @@
   "repository": {
     "type": "git",
     "url": "git+https://github.com/transitive-bullshit/agentic.git",
-    "directory": "packages/mastra"
+    "directory": "stdlib/mastra"
   },
   "type": "module",
   "sideEffects": false,
@@ -24,7 +24,8 @@
     "test:unit": "vitest run"
   },
   "dependencies": {
-    "@agentic/core": "workspace:*"
+    "@agentic/core": "workspace:*",
+    "@agentic/platform-tool-client": "workspace:*"
   },
   "peerDependencies": {
     "@mastra/core": "catalog:"

stdlib/mastra/src/mastra.test.ts

@@ -0,0 +1,13 @@
+import { EchoAITool } from '@agentic/core'
+import { expect, test } from 'vitest'
+
+import { createMastraTools, createMastraToolsFromIdentifier } from './mastra'
+
+test('createMastraTools', () => {
+  expect(createMastraTools(new EchoAITool())).toHaveProperty('echo')
+})
+
+test('createMastraToolsFromIdentifier', async () => {
+  const tools = await createMastraToolsFromIdentifier('@agentic/search')
+  expect(tools).toHaveProperty('search')
+})

stdlib/mastra/src/mastra.ts

@@ -0,0 +1,64 @@
+import { type AIFunctionLike, AIFunctionSet, isZodSchema } from '@agentic/core'
+import {
+  AgenticToolClient,
+  type AgenticToolClientOptions
+} from '@agentic/platform-tool-client'
+import { createTool } from '@mastra/core/tools'
+
+export type MastraTool = ReturnType<typeof createTool>
+
+/**
+ * Converts a set of Agentic stdlib AI functions to an object compatible with
+ * the Mastra Agent `tools` parameter.
+ */
+export function createMastraTools(
+  ...aiFunctionLikeTools: AIFunctionLike[]
+): Record<string, MastraTool> {
+  const fns = new AIFunctionSet(aiFunctionLikeTools)
+
+  return Object.fromEntries(
+    fns.map((fn) => {
+      if (!isZodSchema(fn.inputSchema)) {
+        throw new Error(
+          `Mastra tools only support Zod schemas: ${fn.spec.name} tool uses a custom JSON Schema, which is currently not supported.`
+        )
+      }
+
+      return [
+        fn.spec.name,
+        createTool({
+          id: fn.spec.name,
+          description: fn.spec.description,
+          inputSchema: fn.inputSchema,
+          execute: (ctx) => fn.execute(ctx.context)
+        })
+      ]
+    })
+  )
+}
+
+/**
+ * Creates a Mastra Agent `tools` object from a hosted Agentic project or
+ * deployment identifier.
+ *
+ * You'll generally use a project identifier, which will automatically use
+ * that project's `latest` version, but if you want to target a specific
+ * version or preview deployment, you can use a fully-qualified deployment
+ * identifier.
+ *
+ * @example
+ * ```ts
+ * const tools = await createMastraToolsFromIdentifier('@agentic/search')
+ * ```
+ */
+export async function createMastraToolsFromIdentifier(
+  projectOrDeploymentIdentifier: string,
+  opts: AgenticToolClientOptions = {}
+): Promise<Record<string, MastraTool>> {
+  const agenticToolClient = await AgenticToolClient.fromIdentifier(
+    projectOrDeploymentIdentifier,
+    opts
+  )
+
+  return createMastraTools(agenticToolClient)
+}

stdlib/mcp/package.json

@@ -7,7 +7,7 @@
   "repository": {
     "type": "git",
     "url": "git+https://github.com/transitive-bullshit/agentic.git",
-    "directory": "packages/mcp"
+    "directory": "stdlib/mcp"
   },
   "type": "module",
   "sideEffects": false,

stdlib/xsai/package.json

@@ -7,7 +7,7 @@
   "repository": {
     "type": "git",
     "url": "git+https://github.com/transitive-bullshit/agentic.git",
-    "directory": "packages/xsai"
+    "directory": "stdlib/xsai"
   },
   "type": "module",
   "sideEffects": false,
@@ -24,7 +24,8 @@
     "test:unit": "vitest run"
   },
   "dependencies": {
-    "@agentic/core": "workspace:*"
+    "@agentic/core": "workspace:*",
+    "@agentic/platform-tool-client": "workspace:*"
   },
   "peerDependencies": {
     "@xsai/tool": "catalog:"

stdlib/xsai/src/xsai.test.ts

@@ -0,0 +1,16 @@
+import { EchoAITool } from '@agentic/core'
+import { expect, test } from 'vitest'
+
+import { createXSAITools, createXSAIToolsFromIdentifier } from './xsai'
+
+test('createXSAITools', async () => {
+  const tools = await createXSAITools(new EchoAITool())
+  expect(tools).toHaveLength(1)
+  expect(tools[0]!.function.name).toBe('echo')
+})
+
+test('createXSAIToolsFromIdentifier', async () => {
+  const tools = await createXSAIToolsFromIdentifier('@agentic/search')
+  expect(tools).toHaveLength(1)
+  expect(tools[0]!.function.name).toBe('search')
+})

stdlib/xsai/src/xsai.ts

@@ -0,0 +1,61 @@
+import { type AIFunctionLike, AIFunctionSet, isZodSchema } from '@agentic/core'
+import {
+  AgenticToolClient,
+  type AgenticToolClientOptions
+} from '@agentic/platform-tool-client'
+import { tool } from '@xsai/tool'
+
+export type XSAITool = Awaited<ReturnType<typeof tool>>
+
+/**
+ * Converts a set of Agentic stdlib AI functions to an object compatible with
+ * the [xsAI SDK's](https://github.com/moeru-ai/xsai) `tools` parameter.
+ */
+export function createXSAITools(
+  ...aiFunctionLikeTools: AIFunctionLike[]
+): Promise<XSAITool[]> {
+  const fns = new AIFunctionSet(aiFunctionLikeTools)
+
+  return Promise.all(
+    fns.map((fn) => {
+      if (!isZodSchema(fn.inputSchema)) {
+        throw new Error(
+          `xsAI tools only support Standard schemas like Zod: ${fn.spec.name} tool uses a custom JSON Schema, which is currently not supported.`
+        )
+      }
+
+      return tool({
+        name: fn.spec.name,
+        description: fn.spec.description,
+        parameters: fn.inputSchema,
+        execute: fn.execute
+      })
+    })
+  )
+}
+
+/**
+ * Creates an array of xsAI tools from a hosted Agentic project or deployment
+ * identifier.
+ *
+ * You'll generally use a project identifier, which will automatically use
+ * that project's `latest` version, but if you want to target a specific
+ * version or preview deployment, you can use a fully-qualified deployment
+ * identifier.
+ *
+ * @example
+ * ```ts
+ * const tools = await createXSAIToolsFromIdentifier('@agentic/search')
+ * ```
+ */
+export async function createXSAIToolsFromIdentifier(
+  projectOrDeploymentIdentifier: string,
+  opts: AgenticToolClientOptions = {}
+): Promise<XSAITool[]> {
+  const agenticToolClient = await AgenticToolClient.fromIdentifier(
+    projectOrDeploymentIdentifier,
+    opts
+  )
+
+  return createXSAITools(agenticToolClient)
+}

todo.md

@@ -17,14 +17,13 @@
   - hosted docs
 - social images
 - add really strict free rate-limits to `@agentic/search`
-- **simplify `AgenticToolClient` and only require one package per TS LLM SDK**
-  - `createAISDKToolsFromIdentifier(projectIdentifier)`
 - **move legacy packages, examples, and docs over**
 - replace json project and components with actual designs
 - implement footer
 - finesse header (mobile)
 - create agentic products for legacy tools
 - add basic legal terms and privacy policy (and update links in stripe)
+- add caching to public projects api endpoints
 
 ## TODO: Post-MVP
 
@@ -104,3 +103,5 @@
   - platform AGPL-3.0 private
   - platform AGPL-3.0 public; maybe this should be MIT?
   - stdlib MIT public
+- **simplify `AgenticToolClient` and only require one package per TS LLM SDK**
+  - `createAISDKToolsFromIdentifier(projectIdentifier)`