chore: dont export blink.model (#8)

Author: hugodutka

README.md

@@ -131,7 +131,7 @@ const agent = blink.agent();
 
 agent.on("chat", async ({ messages }) => {
   return streamText({
-    model: blink.model("anthropic/claude-sonnet-4"),
+    model: "anthropic/claude-sonnet-4",
     system: "You are a helpful assistant.",
     messages: convertToModelMessages(messages),
 
@@ -195,7 +195,7 @@ const agent = blink.agent();
 
 agent.on("chat", async ({ messages }) => {
   return streamText({
-    model: blink.model("anthropic/claude-sonnet-4"),
+    model: "anthropic/claude-sonnet-4",
     system: "You are a helpful assistant.",
     messages: convertToModelMessages(messages),
 
@@ -245,7 +245,7 @@ const agent = blink.agent();
 
 agent.on("chat", async ({ messages }) => {
   return streamText({
-    model: blink.model("anthropic/claude-sonnet-4"),
+    model: "anthropic/claude-sonnet-4",
     system: "You are a helpful assistant.",
     messages: convertToModelMessages(messages),
 
@@ -282,7 +282,7 @@ const agent = blink.agent();
 
 agent.on("chat", async ({ messages }) => {
   return streamText({
-    model: blink.model("anthropic/claude-sonnet-4"),
+    model: "anthropic/claude-sonnet-4",
     system: "You are a helpful assistant.",
     messages: convertToModelMessages(messages),
 

packages/blink/src/agent/agent.test.ts

@@ -3,7 +3,7 @@ import type { UIMessage } from "ai";
 import * as http from "http";
 import { createServerAdapter } from "@whatwg-node/server";
 import { api as controlApi } from "../control";
-import { Agent, model, waitUntil, api } from "./agent";
+import { Agent, waitUntil, api } from "./agent";
 import type {
   AgentChat,
   AgentStore,
@@ -436,11 +436,6 @@ describe("API Shim - Basic Exports", () => {
     expect(typeof Agent).toBe("function");
   });
 
-  test("exports model function", () => {
-    expect(model).toBeDefined();
-    expect(typeof model).toBe("function");
-  });
-
   test("exports waitUntil function", () => {
     expect(waitUntil).toBeDefined();
     expect(typeof waitUntil).toBe("function");
@@ -456,7 +451,6 @@ describe("API Shim - Basic Exports", () => {
 
     expect(blink.Agent).toBeDefined();
     expect(blink.agent).toBeDefined();
-    expect(blink.model).toBeDefined();
     expect(blink.waitUntil).toBeDefined();
     expect(blink.api).toBeDefined();
   });
@@ -556,14 +550,4 @@ describe("API Shim - Agent Functionality", () => {
     expect(await res.text()).toBe("custom response");
     expect(requestHandler).toHaveBeenCalledTimes(1);
   });
-
-  test("model() creates provider when authenticated", () => {
-    process.env.BLINK_TOKEN = "test-token";
-
-    const provider = model("anthropic/claude-sonnet-4");
-    expect(provider).toBeDefined();
-    expect(provider.modelId).toBe("anthropic/claude-sonnet-4");
-
-    delete process.env.BLINK_TOKEN;
-  });
 });

packages/blink/src/agent/agent.ts

@@ -545,7 +545,7 @@ const sseHeaders = {
  *
  * @param model the model name. browse models at: https://vercel.com/ai-gateway/models.
  */
-export const model = (model: string, options?: { token?: string }) => {
+const model = (model: string, options?: { token?: string }) => {
   // This bypass is *ONLY* for temporary testing
   // until we fix the onboarding flow.
   const token =

packages/blink/src/cli/init-templates/index.ts

@@ -71,7 +71,7 @@ const agent = new blink.Agent();
 
 agent.on("chat", async ({ messages, chat, abortSignal }) => {
   return streamText({
-    model: blink.model("anthropic/claude-sonnet-4.5"),
+    model: "anthropic/claude-sonnet-4.5",
     system: "You are a helpful assistant.",
     messages: convertToModelMessages(messages, {
       ignoreIncompleteToolCalls: true,
@@ -215,17 +215,6 @@ Tool Prefixing to avoid collisions:
 
 LLM Models:
 
-**Option 1: Blink Gateway** (Quick Start)
-
-```typescript
-model: blink.model("anthropic/claude-sonnet-4.5");
-model: blink.model("openai/gpt-5");
-```
-
-Requires: `blink login` or `BLINK_TOKEN` env var
-
-**Option 2: Direct Provider** (Production Recommended)
-
 ```typescript
 import { anthropic } from "@ai-sdk/anthropic";
 import { openai } from "@ai-sdk/openai";
@@ -240,7 +229,7 @@ model: openai("gpt-5", { apiKey: process.env.OPENAI_API_KEY });
 
 1. If `ANTHROPIC_API_KEY` is set: uses `claude-sonnet-4.5` via `@ai-sdk/anthropic`
 2. If `OPENAI_API_KEY` is set: uses `gpt-5` via `@ai-sdk/openai`
-3. Otherwise: falls back to `blink.model("anthropic/claude-sonnet-4.5")`
+3. If `AI_GATEWAY_API_KEY` is set: uses `anthropic/claude-sonnet-4-5` via the Vercel AI Gateway
 
 Available SDKs:
 
@@ -310,7 +299,7 @@ agent.on("request", async (request) => {
 agent.on("chat", async ({ messages }) => {
   const tools = slack.createTools({ client: app.client });
   return streamText({
-    model: blink.model("anthropic/claude-sonnet-4.5"),
+    model: "anthropic/claude-sonnet-4.5",
     system: "You chatting with users in Slack.",
     messages: convertToModelMessages(messages, {
       ignoreIncompleteToolCalls: true,

packages/blink/src/cli/init-templates/scratch/AGENTS.md

@@ -71,7 +71,7 @@ const agent = new blink.Agent();
 
 agent.on("chat", async ({ messages, chat, abortSignal }) => {
   return streamText({
-    model: blink.model("anthropic/claude-sonnet-4.5"),
+    model: "anthropic/claude-sonnet-4.5",
     system: "You are a helpful assistant.",
     messages: convertToModelMessages(messages, {
       ignoreIncompleteToolCalls: true,
@@ -215,17 +215,6 @@ Tool Prefixing to avoid collisions:
 
 LLM Models:
 
-**Option 1: Blink Gateway** (Quick Start)
-
-```typescript
-model: blink.model("anthropic/claude-sonnet-4.5");
-model: blink.model("openai/gpt-5");
-```
-
-Requires: `blink login` or `BLINK_TOKEN` env var
-
-**Option 2: Direct Provider** (Production Recommended)
-
 ```typescript
 import { anthropic } from "@ai-sdk/anthropic";
 import { openai } from "@ai-sdk/openai";
@@ -240,7 +229,6 @@ model: openai("gpt-5", { apiKey: process.env.OPENAI_API_KEY });
 
 1. If `ANTHROPIC_API_KEY` is set: uses `claude-sonnet-4.5` via `@ai-sdk/anthropic`
 2. If `OPENAI_API_KEY` is set: uses `gpt-5` via `@ai-sdk/openai`
-3. Otherwise: falls back to `blink.model("anthropic/claude-sonnet-4.5")`
 
 Available SDKs:
 
@@ -310,7 +298,7 @@ agent.on("request", async (request) => {
 agent.on("chat", async ({ messages }) => {
   const tools = slack.createTools({ client: app.client });
   return streamText({
-    model: blink.model("anthropic/claude-sonnet-4.5"),
+    model: "anthropic/claude-sonnet-4.5",
     system: "You chatting with users in Slack.",
     messages: convertToModelMessages(messages, {
       ignoreIncompleteToolCalls: true,