fix: update url to repo

.github/workflows/ci.yaml

@@ -9,47 +9,70 @@ on:
       - main
 
 jobs:
-  lint:
+  format:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v5
 
-      - name: "Set up Python"
-        uses: actions/setup-python@v6
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
         with:
-          python-version-file: ".python-version"
+          node-version: "20"
+          cache: "npm"
 
-      - name: Install uv
-        uses: astral-sh/setup-uv@v6
-        with:
-          enable-cache: true
+      - name: Install dependencies
+        run: npm ci
 
-      - name: Sync dependencies
-        run: uv sync --locked --all-extras --dev
+      - name: Run format check
+        run: npm run format:check
 
-      - name: Run ruff format check
-        run: uv run ruff format --check .
+  type-check:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v5
 
-      - name: Run ruff check
-        run: uv run ruff check --output-format=github .
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: "20"
+          cache: "npm"
 
-  type-check:
+      - name: Install dependencies
+        run: npm ci
+
+      - name: Run type checking
+        run: npm run typecheck
+
+  test:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v5
 
-      - name: "Set up Python"
-        uses: actions/setup-python@v6
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
         with:
-          python-version-file: ".python-version"
+          node-version: "20"
+          cache: "npm"
+
+      - name: Install dependencies
+        run: npm ci
+
+      - name: Run tests
+        run: npm run test -- --run
+
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v5
 
-      - name: Install uv
-        uses: astral-sh/setup-uv@v6
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
         with:
-          enable-cache: true
+          node-version: "20"
+          cache: "npm"
 
-      - name: Sync dependencies
-        run: uv sync --locked --all-extras --dev
+      - name: Install dependencies
+        run: npm ci
 
-      - name: Run type checking
-        run: uv run ty check --output-format github
+      - name: Build
+        run: npm run build

docs/extending/full-customization.md

@@ -22,7 +22,7 @@ For most use cases, you don't need full customization:
 ### 1. Clone the Repository
 
 ```bash
-git clone https://github.com/ArtificialAnalysis/stirrup-js.git
+git clone https://github.com/ArtificialAnalysis/stirrupJS.git
 cd stirrup-js
 ```
 
@@ -402,7 +402,7 @@ See `CONTRIBUTING.md` in the repository.
 
 Check out these projects using StirrupJS:
 
-- [StirrupJS](https://github.com/ArtificialAnalysis/stirrup-js) - The main repository
+- [StirrupJS](https://github.com/ArtificialAnalysis/stirrupJS) - The main repository
 - [Stirrup](https://github.com/ArtificialAnalysis/Stirrup) - Python version
 
 ## Best Practices

docs/index.md

@@ -164,7 +164,7 @@ For deep customization of the framework internals, you can clone and modify Stir
 
 ```bash
 # Clone the repository
-git clone https://github.com/ArtificialAnalysis/stirrup-js.git
+git clone https://github.com/ArtificialAnalysis/stirrupJS.git
 cd stirrup-js
 
 # Install dependencies

mkdocs.yml

@@ -2,8 +2,8 @@ site_name: StirrupJS Documentation
 site_url: https://stirrupjs.artificialanalysis.ai
 site_description: Lightweight TypeScript/JavaScript framework for building AI agents
 site_author: Artificial Analysis, Inc.
-repo_url: https://github.com/ArtificialAnalysis/stirrup-js
-repo_name: stirrup-js
+repo_url: https://github.com/ArtificialAnalysis/stirrupJS
+repo_name: stirrupJS
 
 theme:
   name: material

src/clients/anthropic-client.ts

@@ -4,14 +4,7 @@
 
 import Anthropic from '@anthropic-ai/sdk';
 import retry from 'async-retry';
-import type {
-  LLMClient,
-  ChatMessage,
-  AssistantMessage,
-  Tool,
-  ToolCall,
-  TokenUsage,
-} from '../core/models.js';
+import type { LLMClient, ChatMessage, AssistantMessage, Tool, ToolCall, TokenUsage } from '../core/models.js';
 import { ContextOverflowError } from '../core/models.js';
 import { toAnthropicMessages, toAnthropicTools } from './utils.js';
 import { MAX_RETRY_ATTEMPTS, RETRY_MIN_TIMEOUT, RETRY_MAX_TIMEOUT } from '../constants.js';

src/clients/openai-client.ts

@@ -5,14 +5,7 @@
 
 import OpenAI from 'openai';
 import retry from 'async-retry';
-import type {
-  LLMClient,
-  ChatMessage,
-  AssistantMessage,
-  Tool,
-  ToolCall,
-  TokenUsage,
-} from '../core/models.js';
+import type { LLMClient, ChatMessage, AssistantMessage, Tool, ToolCall, TokenUsage } from '../core/models.js';
 import { ContextOverflowError } from '../core/models.js';
 import { toOpenAIMessages, toOpenAITools } from './utils.js';
 import { MAX_RETRY_ATTEMPTS, RETRY_MIN_TIMEOUT, RETRY_MAX_TIMEOUT } from '../constants.js';
@@ -177,7 +170,7 @@ export class ChatCompletionsClient implements LLMClient {
         input: response.usage.prompt_tokens,
         output: response.usage.completion_tokens,
         reasoning: this.config.includeReasoningTokens
-          ? usageWithDetails.completion_tokens_details?.reasoning_tokens ?? 0
+          ? (usageWithDetails.completion_tokens_details?.reasoning_tokens ?? 0)
           : 0,
       };
     }

src/clients/utils.ts

@@ -252,8 +252,7 @@ export function toAnthropicMessages(messages: ChatMessage[]): {
 
         // Add text content
         if (message.content) {
-          const textContent =
-            typeof message.content === 'string' ? message.content : JSON.stringify(message.content);
+          const textContent = typeof message.content === 'string' ? message.content : JSON.stringify(message.content);
           if (textContent) {
             (result.content as unknown[]).push({
               type: 'text',
@@ -325,9 +324,7 @@ export function toOpenAITools(tools: Map<string, Tool>): unknown[] {
         for (const [key, value] of Object.entries(shape)) {
           properties[key] = zodToJsonSchema(value);
           const isOptionalFn = (value as { isOptional?: unknown }).isOptional;
-          const isOptional = typeof isOptionalFn === 'function'
-            ? (isOptionalFn as () => boolean)()
-            : false;
+          const isOptional = typeof isOptionalFn === 'function' ? (isOptionalFn as () => boolean)() : false;
           if (!isOptional) required.push(key);
         }
       }
@@ -372,9 +369,7 @@ export function toAnthropicTools(tools: Map<string, Tool>): unknown[] {
         for (const [key, value] of Object.entries(shape)) {
           properties[key] = zodToJsonSchema(value);
           const isOptionalFn = (value as { isOptional?: unknown }).isOptional;
-          const isOptional = typeof isOptionalFn === 'function'
-            ? (isOptionalFn as () => boolean)()
-            : false;
+          const isOptional = typeof isOptionalFn === 'function' ? (isOptionalFn as () => boolean)() : false;
           if (!isOptional) required.push(key);
         }
       }

src/clients/vercel-ai-gateway-client.ts

@@ -7,14 +7,7 @@ import type { LanguageModel, ModelMessage, ToolSet } from 'ai';
 import { generateText } from 'ai';
 import retry from 'async-retry';
 import { MAX_RETRY_ATTEMPTS, RETRY_MAX_TIMEOUT, RETRY_MIN_TIMEOUT } from '../constants.js';
-import type {
-  AssistantMessage,
-  ChatMessage,
-  LLMClient,
-  TokenUsage,
-  Tool,
-  ToolCall,
-} from '../core/models.js';
+import type { AssistantMessage, ChatMessage, LLMClient, TokenUsage, Tool, ToolCall } from '../core/models.js';
 import { ContextOverflowError } from '../core/models.js';
 
 export interface VercelAIClientConfig {

src/content/processors.ts

@@ -12,11 +12,7 @@ import { fileTypeFromBuffer } from 'file-type';
  * @param maxPixels Maximum total pixels
  * @returns Adjusted [width, height] with even dimensions
  */
-export function calculateDownscaledDimensions(
-  width: number,
-  height: number,
-  maxPixels: number
-): [number, number] {
+export function calculateDownscaledDimensions(width: number, height: number, maxPixels: number): [number, number] {
   const currentPixels = width * height;
 
   if (currentPixels <= maxPixels) {