diff --git a/.changeset/gorgeous-bats-explain.md b/.changeset/gorgeous-bats-explain.md
new file mode 100644
index 0000000..e8cab43
--- /dev/null
+++ b/.changeset/gorgeous-bats-explain.md
@@ -0,0 +1,5 @@
+---
+"@statelyai/agent": patch
+---
+
+Simplify API (WIP)
diff --git a/.changeset/pretty-fishes-shake.md b/.changeset/pretty-fishes-shake.md
new file mode 100644
index 0000000..8444e54
--- /dev/null
+++ b/.changeset/pretty-fishes-shake.md
@@ -0,0 +1,5 @@
+---
+'@statelyai/agent': patch
+---
+
+Add `createSchemas`, `createOpenAIAdapter`, and change `createAgent`
diff --git a/.gitignore b/.gitignore
index c6bba59..381cdbc 100644
--- a/.gitignore
+++ b/.gitignore
@@ -128,3 +128,5 @@ dist
 .yarn/build-state.yml
 .yarn/install-state.gz
 .pnp.*
+
+.vscode/settings.json
diff --git a/examples/helpers/helpers.ts b/examples/helpers/helpers.ts
index 218d4c1..6fbab5c 100644
--- a/examples/helpers/helpers.ts
+++ b/examples/helpers/helpers.ts
@@ -3,7 +3,7 @@ import { fromPromise } from 'xstate';
 export const getFromTerminal = fromPromise<string, string>(
   async ({ input }) => {
     const topic = await new Promise<string>((res) => {
-      console.log(input);
+      console.log(input + '\n');
       const listener = (data: Buffer) => {
         const result = data.toString().trim();
         process.stdin.off('data', listener);
diff --git a/examples/joke.ts b/examples/joke.ts
index 1f64520..464776a 100644
--- a/examples/joke.ts
+++ b/examples/joke.ts
@@ -1,21 +1,13 @@
 import OpenAI from 'openai';
-import {
-  assign,
-  createActor,
-  fromCallback,
-  fromPromise,
-  log,
-  setup,
-} from 'xstate';
-import { createAgent } from '../src';
+import { assign, fromCallback, fromPromise, log, setup } from 'xstate';
+import { createAgent, createOpenAIAdapter, createSchemas } from '../src';
 import { loadingAnimation } from './helpers/loader';
 
 const openai = new OpenAI({
   apiKey: process.env.OPENAI_API_KEY,
 });
 
-const agent = createAgent(openai, {
-  model: 'gpt-3.5-turbo-1106',
+const schemas = createSchemas({
   context: {
     topic: { type: 'string' },
     jokes: {
@@ -23,18 +15,35 @@ const agent = createAgent(openai, {
       items: {
         type: 'string',
       },
-      desire: { type: ['string', 'null'] },
-      lastRating: { type: ['string', 'null'] },
+    },
+    desire: { type: ['string', 'null'] as const },
+    lastRating: { type: ['string', 'null'] as const },
+  },
+  events: {
+    askForTopic: {
+      type: 'object',
+      properties: {
+        topic: {
+          type: 'string',
+        },
+      },
+    },
+    endJokes: {
+      type: 'object',
+      properties: {},
     },
   },
-  events: {},
 });
 
-const getJokeCompletion = agent.fromChatCompletion(
+const adapter = createOpenAIAdapter(openai, {
+  model: 'gpt-3.5-turbo-1106',
+});
+
+const getJokeCompletion = adapter.fromChat(
   (topic: string) => `Tell me a joke about ${topic}.`
 );
 
-const rateJoke = agent.fromChatCompletion(
+const rateJoke = adapter.fromChat(
   (joke: string) => `Rate this joke on a scale of 1 to 10: ${joke}`
 );
 
@@ -52,7 +61,7 @@ const getTopic = fromPromise(async () => {
   return topic;
 });
 
-const decide = agent.fromEvent(
+const decide = adapter.fromEventChoice(
   (lastRating: string) =>
     `Choose what to do next, given the previous rating of the joke: ${lastRating}`
 );
@@ -96,15 +105,8 @@ const loader = fromCallback(({ input }: { input: string }) => {
 });
 
 const jokeMachine = setup({
-  types: {
-    context: {} as {
-      topic: string;
-      jokes: string[];
-      desire: string | null;
-      lastRating: string | null;
-    },
-    input: {} as { topic: string },
-  },
+  schemas,
+  types: schemas.types,
   actors: {
     getJokeCompletion,
     getTopic,
@@ -146,7 +148,7 @@ const jokeMachine = setup({
                     event.output.choices[0]!.message.content!
                   ),
               }),
-              log((x) => x.context.jokes.at(-1)),
+              log((x) => `\n` + x.context.jokes.at(-1)),
             ],
             target: 'rateJoke',
           },
@@ -168,7 +170,7 @@ const jokeMachine = setup({
                 lastRating: ({ event }) =>
                   event.output.choices[0]!.message.content!,
               }),
-              log(({ context }) => context.lastRating),
+              log(({ context }) => '\n' + context.lastRating),
             ],
             target: 'decide',
           },
@@ -210,5 +212,5 @@ const jokeMachine = setup({
   },
 });
 
-const actor = createActor(jokeMachine);
-actor.start();
+const agent = createAgent(jokeMachine);
+agent.start();
diff --git a/examples/multiAgentCollaboration.ts b/examples/multiAgentCollaboration.ts
new file mode 100644
index 0000000..e69de29
diff --git a/examples/ticTacToe.ts b/examples/ticTacToe.ts
index 68450df..b0133f2 100644
--- a/examples/ticTacToe.ts
+++ b/examples/ticTacToe.ts
@@ -1,6 +1,6 @@
-import { assign, setup, assertEvent, createActor } from 'xstate';
+import { assign, setup, assertEvent } from 'xstate';
 import OpenAI from 'openai';
-import { createAgent } from '../src/openai';
+import { createOpenAIAdapter, createSchemas, createAgent } from '../src';
 
 const openai = new OpenAI({
   apiKey: process.env.OPENAI_API_KEY,
@@ -8,8 +8,7 @@ const openai = new OpenAI({
 
 type Player = 'x' | 'o';
 
-const agent = createAgent(openai, {
-  model: 'gpt-4-1106-preview',
+const schemas = createSchemas({
   context: {
     board: {
       type: 'array',
@@ -69,16 +68,20 @@ const agent = createAgent(openai, {
   },
 });
 
+const adapter = createOpenAIAdapter(openai, {
+  model: 'gpt-4-1106-preview',
+});
+
 const initialContext = {
   board: Array(9).fill(null) as Array<Player | null>,
   moves: 0,
   player: 'x' as Player,
   gameReport: '',
   events: [],
-} satisfies typeof agent.types.context;
+} satisfies typeof schemas.types.context;
 
-const bot = agent.fromEvent(
-  ({ context }: { context: typeof agent.types.context }) => `
+const bot = adapter.fromEventChoice(
+  ({ context }: { context: typeof schemas.types.context }) => `
 You are playing a game of tic tac toe. This is the current game state. The 3x3 board is represented by a 9-element array. The first element is the top-left cell, the second element is the top-middle cell, the third element is the top-right cell, the fourth element is the middle-left cell, and so on. The value of each cell is either null, x, or o. The value of null means that the cell is empty. The value of x means that the cell is occupied by an x. The value of o means that the cell is occupied by an o.
 
 ${JSON.stringify(context, null, 2)}
@@ -86,11 +89,11 @@ ${JSON.stringify(context, null, 2)}
 Execute the single best next move to try to win the game. Do not play on an existing cell.`
 );
 
-const gameReporter = agent.fromChatCompletionStream(
+const gameReporter = adapter.fromChatStream(
   ({
     context,
   }: {
-    context: typeof agent.types.context;
+    context: typeof schemas.types.context;
   }) => `Here is the game board:
 
 ${JSON.stringify(context.board, null, 2)}
@@ -124,7 +127,8 @@ function getWinner(board: typeof initialContext.board): Player | null {
 }
 
 export const ticTacToeMachine = setup({
-  types: agent.types,
+  schemas,
+  types: schemas.types,
   actors: {
     bot,
     gameReporter,
@@ -248,14 +252,8 @@ export const ticTacToeMachine = setup({
   },
 });
 
-const actor = createActor(ticTacToeMachine, {
-  inspect: (e) => {
-    if (e.type === '@xstate.event') {
-      console.log(e.event);
-    }
-  },
-});
-actor.subscribe((s) => {
+const agent = createAgent(ticTacToeMachine);
+agent.subscribe((s) => {
   console.log(s.value, s.context);
 });
-actor.start();
+agent.start();
diff --git a/examples/weather.ts b/examples/weather.ts
index 37dd792..5f204d3 100644
--- a/examples/weather.ts
+++ b/examples/weather.ts
@@ -1,6 +1,6 @@
 import OpenAI from 'openai';
-import { createAgent, fromEventChoice } from '../src';
-import { assign, createActor, fromPromise, log, setup } from 'xstate';
+import { createAgent, createOpenAIAdapter, createSchemas } from '../src';
+import { assign, fromPromise, log, setup } from 'xstate';
 import { getFromTerminal } from './helpers/helpers';
 
 async function searchTavily(
@@ -23,6 +23,7 @@ async function searchTavily(
     },
     body: JSON.stringify(body),
   });
+
   const json = await response.json();
   if (!response.ok) {
     throw new Error(
@@ -39,8 +40,7 @@ const openai = new OpenAI({
   apiKey: process.env.OPENAI_API_KEY,
 });
 
-const agent = createAgent(openai, {
-  model: 'gpt-4-1106-preview',
+const schemas = createSchemas({
   context: {
     location: { type: 'string' },
     history: { type: 'array', items: { type: 'string' } },
@@ -64,17 +64,27 @@ const agent = createAgent(openai, {
   },
 });
 
+const adapter = createOpenAIAdapter(openai, {
+  model: 'gpt-4-1106-preview',
+});
+
+const getWeather = fromPromise(async ({ input }: { input: string }) => {
+  const results = await searchTavily(
+    `Get the weather for this location: ${input}`,
+    {
+      maxResults: 5,
+      apiKey: process.env.TAVILY_API_KEY!,
+    }
+  );
+  return results;
+});
+
 const machine = setup({
-  types: agent.types,
+  schemas,
+  types: schemas.types,
   actors: {
-    searchTavily: fromPromise(async ({ input }: { input: string }) => {
-      const results = await searchTavily(input, {
-        maxResults: 5,
-        apiKey: process.env.TAVILY_API_KEY!,
-      });
-      return results;
-    }),
-    decide: agent.fromEvent(
+    getWeather,
+    decide: adapter.fromEventChoice(
       (input: string) =>
         `Decide what to do based on the given input, which may or may not be a location: ${input}`
     ),
@@ -121,9 +131,8 @@ const machine = setup({
     gettingWeather: {
       entry: log('Getting weather...'),
       invoke: {
-        src: 'searchTavily',
-        input: ({ context }) =>
-          `Get the weather for this location: ${context.location}`,
+        src: 'getWeather',
+        input: ({ context }) => context.location,
         onDone: {
           actions: [
             log(({ event }) => event.output),
@@ -144,4 +153,8 @@ const machine = setup({
   },
 });
 
-createActor(machine).start();
+createAgent(machine, {
+  input: {
+    location: 'New York',
+  },
+}).start();
diff --git a/package.json b/package.json
index 5e600a1..5a4d87e 100644
--- a/package.json
+++ b/package.json
@@ -33,7 +33,7 @@
     "access": "public"
   },
   "dependencies": {
-    "xstate": "^5.5.1"
+    "xstate": "^5.6.0"
   },
   "packageManager": "pnpm@8.11.0"
 }
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
index d9c3533..382007b 100644
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -1,13 +1,9 @@
 lockfileVersion: '6.0'
 
-settings:
-  autoInstallPeers: true
-  excludeLinksFromLockfile: false
-
 dependencies:
   xstate:
-    specifier: ^5.5.1
-    version: 5.5.1
+    specifier: ^5.6.0
+    version: registry.npmjs.org/xstate@5.6.0
 
 devDependencies:
   '@changesets/changelog-github':
@@ -278,213 +274,6 @@ packages:
       '@jridgewell/trace-mapping': 0.3.9
     dev: true
 
-  /@esbuild/aix-ppc64@0.19.10:
-    resolution: {integrity: sha512-Q+mk96KJ+FZ30h9fsJl+67IjNJm3x2eX+GBWGmocAKgzp27cowCOOqSdscX80s0SpdFXZnIv/+1xD1EctFx96Q==}
-    engines: {node: '>=12'}
-    cpu: [ppc64]
-    os: [aix]
-    requiresBuild: true
-    dev: true
-    optional: true
-
-  /@esbuild/android-arm64@0.19.10:
-    resolution: {integrity: sha512-1X4CClKhDgC3by7k8aOWZeBXQX8dHT5QAMCAQDArCLaYfkppoARvh0fit3X2Qs+MXDngKcHv6XXyQCpY0hkK1Q==}
-    engines: {node: '>=12'}
-    cpu: [arm64]
-    os: [android]
-    requiresBuild: true
-    dev: true
-    optional: true
-
-  /@esbuild/android-arm@0.19.10:
-    resolution: {integrity: sha512-7W0bK7qfkw1fc2viBfrtAEkDKHatYfHzr/jKAHNr9BvkYDXPcC6bodtm8AyLJNNuqClLNaeTLuwURt4PRT9d7w==}
-    engines: {node: '>=12'}
-    cpu: [arm]
-    os: [android]
-    requiresBuild: true
-    dev: true
-    optional: true
-
-  /@esbuild/android-x64@0.19.10:
-    resolution: {integrity: sha512-O/nO/g+/7NlitUxETkUv/IvADKuZXyH4BHf/g/7laqKC4i/7whLpB0gvpPc2zpF0q9Q6FXS3TS75QHac9MvVWw==}
-    engines: {node: '>=12'}
-    cpu: [x64]
-    os: [android]
-    requiresBuild: true
-    dev: true
-    optional: true
-
-  /@esbuild/darwin-arm64@0.19.10:
-    resolution: {integrity: sha512-YSRRs2zOpwypck+6GL3wGXx2gNP7DXzetmo5pHXLrY/VIMsS59yKfjPizQ4lLt5vEI80M41gjm2BxrGZ5U+VMA==}
-    engines: {node: '>=12'}
-    cpu: [arm64]
-    os: [darwin]
-    requiresBuild: true
-    dev: true
-    optional: true
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-    engines: {node: '>=12'}
-    cpu: [x64]
-    os: [darwin]
-    requiresBuild: true
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-    engines: {node: '>=12'}
-    cpu: [arm64]
-    os: [freebsd]
-    requiresBuild: true
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-
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-    engines: {node: '>=12'}
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-    os: [freebsd]
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-    engines: {node: '>=12'}
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-
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-
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-    requiresBuild: true
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-
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-
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-    engines: {node: '>=12'}
-    cpu: [ia32]
-    os: [win32]
-    requiresBuild: true
-    dev: true
-    optional: true
-
-  /@esbuild/win32-x64@0.19.10:
-    resolution: {integrity: sha512-whqLG6Sc70AbU73fFYvuYzaE4MNMBIlR1Y/IrUeOXFrWHxBEjjbZaQ3IXIQS8wJdAzue2GwYZCjOrgrU1oUHoA==}
-    engines: {node: '>=12'}
-    cpu: [x64]
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-    dev: true
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-
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     resolution: {integrity: sha512-HLhSWOLRi875zjjMG/r+Nv0oCW8umGb0BgEhyX3dDX3egwZtB8PqLnjz3yedt8R5StBrzcg4aBpnh8UA9D1BoQ==}
     engines: {node: '>=6.0.0'}
@@ -563,110 +352,6 @@ packages:
       fastq: 1.16.0
     dev: true
 
-  /@rollup/rollup-android-arm-eabi@4.9.1:
-    resolution: {integrity: sha512-6vMdBZqtq1dVQ4CWdhFwhKZL6E4L1dV6jUjuBvsavvNJSppzi6dLBbuV+3+IyUREaj9ZFvQefnQm28v4OCXlig==}
-    cpu: [arm]
-    os: [android]
-    requiresBuild: true
-    dev: true
-    optional: true
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+      '@esbuild/netbsd-x64': registry.npmjs.org/@esbuild/netbsd-x64@0.19.10
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diff --git a/src/openai.ts b/src/adapters/openai.ts
similarity index 74%
rename from src/openai.ts
rename to src/adapters/openai.ts
index 546b490..3f6bcba 100644
--- a/src/openai.ts
+++ b/src/adapters/openai.ts
@@ -4,21 +4,12 @@ import {
   ObservableActorLogic,
   Observer,
   PromiseActorLogic,
-  Values,
   fromObservable,
   fromPromise,
-  setup,
+  isMachineSnapshot,
   toObserver,
 } from 'xstate';
-import { getAllTransitions } from './utils';
-import {
-  ContextSchema,
-  EventSchemas,
-  ConvertContextToJSONSchema,
-  ConvertToJSONSchemas,
-  createEventSchemas,
-} from './utils';
-import { FromSchema } from 'json-schema-to-ts';
+import { getAllTransitions } from '../utils';
 import { ChatCompletionCreateParamsNonStreaming } from 'openai/resources';
 import {
   ChatCompletionCreateParamsBase,
@@ -34,7 +25,7 @@ import {
  */
 export function fromChatCompletion<TInput>(
   openai: OpenAI,
-  agentSettings: CreateAgentOutput<any>,
+  agentSettings: OpenAIAdapterOutput<any>,
   inputFn: (
     input: TInput
   ) => string | OpenAI.Chat.Completions.ChatCompletionCreateParamsNonStreaming
@@ -67,9 +58,9 @@ export function fromChatCompletion<TInput>(
  * @param openai The OpenAI instance to use.
  * @param inputFn A function that maps arbitrary input to OpenAI chat completion input.
  */
-export function fromChatCompletionStream<TInput>(
+export function fromChatStream<TInput>(
   openai: OpenAI,
-  agentSettings: CreateAgentOutput<any>,
+  agentSettings: OpenAIAdapterOutput<any>,
   inputFn: (
     input: TInput
   ) => string | OpenAI.Chat.Completions.ChatCompletionCreateParamsStreaming
@@ -128,7 +119,7 @@ export function fromChatCompletionStream<TInput>(
  */
 export function fromEventChoice<TInput>(
   openai: OpenAI,
-  agentSettings: CreateAgentOutput<any>,
+  agentSettings: OpenAIAdapterOutput<any>,
   inputFn: (
     input: TInput
   ) => string | OpenAI.Chat.Completions.ChatCompletionCreateParamsNonStreaming,
@@ -142,6 +133,15 @@ export function fromEventChoice<TInput>(
 ) {
   return fromPromise<AnyEventObject[] | undefined, TInput>(
     async ({ input, self, system }) => {
+      const parentSnapshot = self._parent?.getSnapshot();
+
+      if (!parentSnapshot || !isMachineSnapshot(parentSnapshot)) {
+        return undefined;
+      }
+
+      const schemas = parentSnapshot.machine.schemas as any;
+      const eventSchemaMap = schemas.events ?? {};
+
       const transitions = getAllTransitions(self._parent!.getSnapshot());
       const functionNameMapping: Record<string, string> = {};
       const tools = transitions
@@ -156,12 +156,10 @@ export function fromEventChoice<TInput>(
             function: {
               name,
               description:
-                t.description ??
-                agentSettings.schemas.events[t.eventType]?.description,
+                t.description ?? eventSchemaMap[t.eventType]?.description,
               parameters: {
                 type: 'object',
-                properties:
-                  agentSettings.schemas.events[t.eventType]?.properties ?? {},
+                properties: eventSchemaMap[t.eventType]?.properties ?? {},
               },
             },
           } as const;
@@ -208,35 +206,35 @@ export function fromEventChoice<TInput>(
   );
 }
 
-interface CreateAgentOutput<
+interface OpenAIAdapterOutput<
   T extends {
     model: ChatCompletionCreateParamsBase['model'];
-    context: ContextSchema;
-    events: EventSchemas;
   }
 > {
   model: T['model'];
-  schemas: T;
-  types: {
-    context: FromSchema<ConvertContextToJSONSchema<T['context']>>;
-    events: FromSchema<Values<ConvertToJSONSchemas<T['events']>>>;
-  };
-  fromEvent: <TInput>(
-    inputFn: (input: TInput) => string | ChatCompletionCreateParamsNonStreaming
-  ) => PromiseActorLogic<
-    FromSchema<Values<ConvertToJSONSchemas<T['events']>>>[] | undefined,
-    TInput
-  >;
+  /**
+   * Determines which event to send to the parent state machine actor based on the prompt.
+   */
   fromEventChoice: <TInput>(
-    inputFn: (input: TInput) => string | ChatCompletionCreateParamsNonStreaming
-  ) => PromiseActorLogic<
-    FromSchema<Values<ConvertToJSONSchemas<T['events']>>>[] | undefined,
-    TInput
-  >;
-  fromChatCompletion: <TInput>(
+    inputFn: (input: TInput) => string | ChatCompletionCreateParamsNonStreaming,
+    options?: {
+      /**
+       * Immediately execute sending the event to the parent actor.
+       * @default true
+       */
+      execute?: boolean;
+    }
+  ) => PromiseActorLogic<AnyEventObject[] | undefined, TInput>;
+  /**
+   * Creates promise actor logic that resolves with a chat completion.
+   */
+  fromChat: <TInput>(
     inputFn: (input: TInput) => string | ChatCompletionCreateParamsNonStreaming
   ) => PromiseActorLogic<OpenAI.Chat.Completions.ChatCompletion, TInput>;
-  fromChatCompletionStream: <TInput>(
+  /**
+   * Creates observable actor logic that emits a chat completion stream.
+   */
+  fromChatStream: <TInput>(
     inputFn: (input: TInput) => string | ChatCompletionCreateParamsStreaming
   ) => ObservableActorLogic<
     OpenAI.Chat.Completions.ChatCompletionChunk,
@@ -244,34 +242,19 @@ interface CreateAgentOutput<
   >;
 }
 
-export function createAgent<
+export function createOpenAIAdapter<
   T extends {
     model: ChatCompletionCreateParamsBase['model'];
-    context: ContextSchema;
-    events: EventSchemas;
   }
->(openai: OpenAI, settings: T): CreateAgentOutput<T> {
-  const agentSettings: CreateAgentOutput<T> = {
+>(openai: OpenAI, settings: T): OpenAIAdapterOutput<T> {
+  const agentSettings: OpenAIAdapterOutput<T> = {
     model: settings.model,
-    schemas: {
-      context: {
-        type: 'object',
-        properties: settings.context,
-        additionalProperties: false,
-      },
-      events: createEventSchemas(settings.events),
-    } as any,
-    types: {} as any,
-    fromEvent: (input) =>
-      // @ts-ignore
-      fromEventChoice(openai, agentSettings, input, { execute: true }),
-    // @ts-ignore infinitely deep
-    fromEventChoice: (input) => fromEventChoice(openai, agentSettings, input),
-    fromChatCompletion: (input) =>
-      fromChatCompletion(openai, agentSettings, input),
-    fromChatCompletionStream: (input) =>
-      fromChatCompletionStream(openai, agentSettings, input),
+    fromEventChoice: (input) =>
+      // @ts-ignore infinitely deep
+      fromEventChoice(openai, agentSettings, input, { execute: true }) as any,
+    fromChat: (input) => fromChatCompletion(openai, agentSettings, input),
+    fromChatStream: (input) => fromChatStream(openai, agentSettings, input),
   };
 
-  return agentSettings as any;
+  return agentSettings;
 }
diff --git a/src/agent.ts b/src/agent.ts
new file mode 100644
index 0000000..a5ebdaa
--- /dev/null
+++ b/src/agent.ts
@@ -0,0 +1,8 @@
+import { ActorOptions, AnyStateMachine, createActor } from 'xstate';
+
+export function createAgent<T extends AnyStateMachine>(
+  ...args: Parameters<typeof createActor<T>>
+) {
+  const [machine, options] = args;
+  return createActor(machine, options);
+}
diff --git a/src/index.ts b/src/index.ts
index 901b76c..bdfd3ae 100644
--- a/src/index.ts
+++ b/src/index.ts
@@ -1,6 +1,3 @@
-export {
-  fromChatCompletion,
-  fromChatCompletionStream,
-  fromEventChoice,
-  createAgent,
-} from './openai';
+export { createSchemas } from './schemas';
+export { createAgent } from './agent';
+export { createOpenAIAdapter } from './adapters/openai';
diff --git a/src/schemas.ts b/src/schemas.ts
new file mode 100644
index 0000000..c8d8b0e
--- /dev/null
+++ b/src/schemas.ts
@@ -0,0 +1,38 @@
+import { Values } from 'xstate';
+import {
+  ContextSchema,
+  EventSchemas,
+  ConvertContextToJSONSchema,
+  ConvertToJSONSchemas,
+  createEventSchemas,
+} from './utils';
+import { FromSchema } from 'json-schema-to-ts';
+
+export function createSchemas<
+  TContextSchema extends ContextSchema,
+  TEventSchemas extends EventSchemas
+>({
+  context,
+  events,
+}: {
+  context: TContextSchema;
+  events: TEventSchemas;
+}): {
+  context: ConvertContextToJSONSchema<TContextSchema>;
+  events: ConvertToJSONSchemas<TEventSchemas>;
+  types: {
+    context: FromSchema<ConvertContextToJSONSchema<TContextSchema>>;
+    events: FromSchema<Values<ConvertToJSONSchemas<TEventSchemas>>>;
+  };
+} {
+  return {
+    context: {
+      type: 'object',
+      properties: context,
+      additionalProperties: false,
+      required: Object.keys(context),
+    },
+    events: createEventSchemas(events),
+    types: {} as any,
+  };
+}