Merge pull request 'fix(claude-code): add oauthToken config for subscription SDK auth' (#12 ) from fix/claude-code-oauth-token into main

Reviewed-on: #12
fix(claude-code): add oauthToken config for subscription SDK auth
2026-05-21 12:56:28 +00:00 · 2026-05-21 14:56:14 +02:00 · 2026-05-21 14:39:36 +02:00 · 2026-05-21 12:38:05 +00:00 · 2026-05-21 14:37:33 +02:00 · 2026-05-21 12:25:34 +00:00
22 changed files with 2310 additions and 2845 deletions
--- a/README.md
+++ b/README.md
@@ -1,35 +1,10 @@
 # Simple AI Provider

-A professional, type-safe TypeScript package that provides a unified interface for multiple AI providers. Currently supports **Claude (Anthropic)**, **OpenAI**, **Google Gemini**, and **OpenWebUI** with a consistent API across all providers.
+A type-safe TypeScript library with a single API surface for **Claude (Anthropic)**, **OpenAI**, **Google Gemini**, **OpenWebUI**, and **Claude Code** (subscription-friendly via local CLI).

-## ✨ Features
+The same `complete()` / `stream()` interface works across every provider, with consistent error types, streaming, and optional structured (typed JSON) output.

- 🔗 **Unified Interface**: Same API for Claude, OpenAI, Gemini, and OpenWebUI
- 🎯 **Type Safety**: Full TypeScript support with comprehensive type definitions  
- 🚀 **Streaming Support**: Real-time response streaming for all providers
- 🛡️ **Error Handling**: Standardized error types with provider-specific details
- 🏭 **Factory Pattern**: Easy provider creation and management
- 🔧 **Configurable**: Extensive configuration options for each provider
- 📦 **Zero Dependencies**: Lightweight with minimal external dependencies
- 🌐 **Local Support**: OpenWebUI integration for local/private AI models
- 🎨 **Structured Output**: Define custom response types for type-safe AI outputs
- 🏗️ **Provider Registry**: Dynamic provider registration and creation system
- ✅ **Comprehensive Testing**: Full test coverage with Bun test framework
- 🔍 **Advanced Validation**: Input validation with detailed error messages
-
-## 🏗️ Architecture
-
-The library is built on solid design principles:
-
- **Template Method Pattern**: Base provider defines the workflow, subclasses implement specifics
- **Factory Pattern**: Clean provider creation and management
- **Strategy Pattern**: Unified interface across different AI providers
- **Type Safety**: Comprehensive TypeScript support throughout
- **Error Normalization**: Consistent error handling across all providers
- **Validation First**: Input validation before processing
- **Extensibility**: Easy to add new providers via registry system
-
-## 🚀 Quick Start
+## Install

 ```bash
 npm install simple-ai-provider
@@ -37,37 +12,14 @@ npm install simple-ai-provider
 bun add simple-ai-provider
 ```

-### Basic Usage
+Requires Node ≥ 18 (or Bun). TypeScript ≥ 5 is recommended as a peer dependency.
+
+## Quick start

 ```typescript
-import { ClaudeProvider, OpenAIProvider, GeminiProvider, OpenWebUIProvider } from 'simple-ai-provider';
+import { ClaudeProvider } from 'simple-ai-provider';

-// Claude
-const claude = new ClaudeProvider({
-  apiKey: process.env.ANTHROPIC_API_KEY!,
-  defaultModel: 'claude-3-5-sonnet-20241022'
-});
-
-// OpenAI  
-const openai = new OpenAIProvider({
-  apiKey: process.env.OPENAI_API_KEY!,
-  defaultModel: 'gpt-4o'
-});
-
-// Google Gemini
-const gemini = new GeminiProvider({
-  apiKey: process.env.GOOGLE_AI_API_KEY!,
-  defaultModel: 'gemini-1.5-flash'
-});
-
-// OpenWebUI (local)
-const openwebui = new OpenWebUIProvider({
-  apiKey: 'ollama', // Often not required
-  baseUrl: 'http://localhost:3000',
-  defaultModel: 'llama2'
-});
-
-// Initialize and use any provider
+const claude = new ClaudeProvider({ apiKey: process.env.ANTHROPIC_API_KEY! });
 await claude.initialize();

 const response = await claude.complete({
@@ -75,183 +27,107 @@ const response = await claude.complete({
    { role: 'system', content: 'You are a helpful assistant.' },
    { role: 'user', content: 'Explain TypeScript in one sentence.' }
  ],
-  maxTokens: 100,
-  temperature: 0.7
+  maxTokens: 200
 });

 console.log(response.content);
+console.log(response.usage);   // { promptTokens, completionTokens, totalTokens }
 ```

-## 🏭 Factory Functions
+Every provider follows the same pattern: construct, `initialize()`, then `complete()` or `stream()`.

-Create providers using factory functions for cleaner code:
+## Providers
+
+### Claude (Anthropic API)

 ```typescript
-import { createProvider, createClaudeProvider, createOpenAIProvider, createGeminiProvider, createOpenWebUIProvider } from 'simple-ai-provider';
+import { ClaudeProvider } from 'simple-ai-provider';

-// Method 1: Specific factory functions
-const claude = createClaudeProvider('your-key', { defaultModel: 'claude-3-5-sonnet-20241022' });
-const openai = createOpenAIProvider('your-key', { defaultModel: 'gpt-4o' });
-const gemini = createGeminiProvider('your-key', { defaultModel: 'gemini-1.5-flash' });
-const openwebui = createOpenWebUIProvider({ apiKey: 'your-key', baseUrl: 'http://localhost:3000' });
-
-// Method 2: Generic factory
-const provider = createProvider('claude', { apiKey: 'your-key' });
-```
-
-### Provider Registry
-
-For dynamic provider creation and registration:
-
-```typescript
-import { ProviderRegistry, ClaudeProvider } from 'simple-ai-provider';
-
-// Register a custom provider
-ProviderRegistry.register('my-claude', ClaudeProvider);
-
-// Create provider dynamically
-const provider = ProviderRegistry.create('my-claude', { apiKey: 'your-key' });
-
-// Check available providers
-const availableProviders = ProviderRegistry.getRegisteredProviders();
-console.log(availableProviders); // ['claude', 'openai', 'gemini', 'openwebui', 'my-claude']
-```
-
-## 🎨 Structured Response Types
-
-Define custom response types for type-safe, structured AI outputs. The library automatically parses the AI's response into your desired type.
-
-```typescript
-import { createResponseType, createClaudeProvider } from 'simple-ai-provider';
-
-// 1. Define your response type
-interface ProductAnalysis {
-  productName: string;
-  priceRange: 'budget' | 'mid-range' | 'premium';
-  pros: string[];
-  cons: string[];
-  overallRating: number; // 1-10 scale
-  recommendation: 'buy' | 'consider' | 'avoid';
-}
-
-// 2. Create a ResponseType object
-const productAnalysisType = createResponseType<ProductAnalysis>(
-  'A comprehensive product analysis with pros, cons, rating, and recommendation'
-);
-
-// 3. Use with any provider
-const claude = createClaudeProvider({ apiKey: 'your-key' });
-await claude.initialize();
-
-const response = await claude.complete<ProductAnalysis>({
-  messages: [
-    { role: 'user', content: 'Analyze the iPhone 15 Pro from a consumer perspective.' }
-  ],
-  responseType: productAnalysisType,
-  maxTokens: 800
+const claude = new ClaudeProvider({
+  apiKey: process.env.ANTHROPIC_API_KEY!,
+  defaultModel: 'claude-3-5-sonnet-20241022', // optional
+  version: '2023-06-01',                       // optional
+  timeout: 30_000,                             // optional, ms
+  maxRetries: 3                                // optional
 });
-
-// 4. Get the fully typed and parsed response
-const analysis = response.content;
-console.log(`Product: ${analysis.productName}`);
-console.log(`Recommendation: ${analysis.recommendation}`);
-console.log(`Rating: ${analysis.overallRating}/10`);
 ```

-### Key Benefits
+### Claude Code (subscription or API key via local CLI)

- **Automatic Parsing**: The AI's JSON response is automatically parsed into your specified type.
- **Type Safety**: Get fully typed responses from AI providers with IntelliSense.
- **Automatic Prompting**: System prompts are automatically generated to guide the AI.
- **Validation**: Built-in response validation and parsing logic.
- **Consistency**: Ensures AI outputs match your expected format.
- **Developer Experience**: Catch errors at compile-time instead of runtime.
+`ClaudeCodeProvider` wraps `@anthropic-ai/claude-agent-sdk`, which spawns the local `claude` CLI under the hood. It supports two billing modes:

-### Streaming with Response Types
-
-You can also use response types with streaming. The raw stream provides real-time text, and you can parse the final string once the stream is complete.
-
-```typescript
-import { parseAndValidateResponseType } from 'simple-ai-provider';
-
-const stream = claude.stream({
-  messages: [{ role: 'user', content: 'Analyze the Tesla Model 3.' }],
-  responseType: productAnalysisType,
-  maxTokens: 600
-});
-
-let fullResponse = '';
-for await (const chunk of stream) {
-  if (!chunk.isComplete) {
-    process.stdout.write(chunk.content);
-    fullResponse += chunk.content;
-  } else {
-    console.log('\n\nStream complete!');
-    // Validate the complete streamed response
-    try {
-      const analysis = parseAndValidateResponseType(fullResponse, productAnalysisType);
-      console.log('Validation successful!');
-      console.log(`Product: ${analysis.productName}`);
-    } catch (e) {
-      console.error('Validation failed:', (e as Error).message);
-    }
-  }
-}
-```
-
-## 📝 Environment Variables
-
-Set up your API keys:
+**Mode A — Claude Pro/Max subscription** (billed against subscription credits):

 ```bash
-# Required for respective providers
-export ANTHROPIC_API_KEY="your-claude-api-key"
-export OPENAI_API_KEY="your-openai-api-key"  
-export GOOGLE_AI_API_KEY="your-gemini-api-key"
-
-# OpenWebUI Bearer Token (get from Settings > Account in OpenWebUI)
-export OPENWEBUI_API_KEY="your-bearer-token"
+# One-time: install the CLI, then mint a long-lived OAuth token.
+# `claude login` alone is NOT enough — Anthropic gates SDK use behind setup-token.
+claude setup-token
 ```

-## 🔧 Provider-Specific Configuration
-
-### Claude Configuration
-
 ```typescript
-const claude = new ClaudeProvider({
-  apiKey: 'your-api-key',
-  defaultModel: 'claude-3-5-sonnet-20241022',
-  version: '2023-06-01',
-  maxRetries: 3,
-  timeout: 30000
+import { ClaudeCodeProvider } from 'simple-ai-provider';
+
+const claude = new ClaudeCodeProvider({
+  oauthToken: process.env.CLAUDE_CODE_OAUTH_TOKEN  // from `claude setup-token`
+});
+
+await claude.initialize();
+const response = await claude.complete({
+  messages: [{ role: 'user', content: 'Hello!' }]
 });
 ```

-### OpenAI Configuration
+**Mode B — Console API key** (billed per-token):

 ```typescript
+const claude = new ClaudeCodeProvider({
+  apiKey: process.env.ANTHROPIC_API_KEY
+});
+```
+
+If both are present, `oauthToken` wins. Either field can also be picked up from the environment (`CLAUDE_CODE_OAUTH_TOKEN` / `ANTHROPIC_API_KEY`) without being passed explicitly.
+
+Optional config:
+
+```typescript
+new ClaudeCodeProvider({
+  oauthToken: '...',
+  defaultModel: 'sonnet',  // 'sonnet' | 'opus' | 'haiku' | 'inherit' | full model ID
+  maxTurns: 1,             // 1 for plain completion; raise for agent/tool loops
+  allowedTools: [],        // tool names to enable (default: none)
+  cwd: process.cwd()       // working directory for the agent
+});
+```
+
+**Trade-offs to know:**
+- Requires `claude` CLI installed on the host. Not ideal for typical server deployments.
+- Higher latency than the direct API (spawns a CLI process per request).
+- Streaming yields text as the SDK emits successive assistant messages, not token-by-token deltas.
+
+### OpenAI
+
+```typescript
+import { OpenAIProvider } from 'simple-ai-provider';
+
 const openai = new OpenAIProvider({
-  apiKey: 'your-api-key',
+  apiKey: process.env.OPENAI_API_KEY!,
  defaultModel: 'gpt-4o',
-  organization: 'your-org-id',
-  project: 'your-project-id',
-  maxRetries: 3,
-  timeout: 30000
+  organization: 'org-...',     // optional
+  project: 'proj-...'          // optional
 });
 ```

-### Gemini Configuration
+`baseUrl` is supported for OpenAI-compatible endpoints.
+
+### Gemini (Google)

 ```typescript
+import { GeminiProvider } from 'simple-ai-provider';
+
 const gemini = new GeminiProvider({
-  apiKey: 'your-api-key',
-  defaultModel: 'gemini-1.5-flash',
-  safetySettings: [
-    {
-      category: 'HARM_CATEGORY_HARASSMENT',
-      threshold: 'BLOCK_MEDIUM_AND_ABOVE'
-    }
-  ],
+  apiKey: process.env.GOOGLE_AI_API_KEY!,
+  defaultModel: 'gemini-2.5-flash',
+  safetySettings: [/* SafetySetting[] from @google/genai */],
  generationConfig: {
    temperature: 0.7,
    topP: 0.8,
@@ -261,441 +137,198 @@ const gemini = new GeminiProvider({
 });
 ```

-### OpenWebUI Configuration
+Backed by `@google/genai` (the successor to the deprecated `@google/generative-ai`).
+
+### OpenWebUI (local / self-hosted)

 ```typescript
+import { OpenWebUIProvider } from 'simple-ai-provider';
+
 const openwebui = new OpenWebUIProvider({
-  apiKey: 'your-bearer-token', // Get from OpenWebUI Settings > Account
-  baseUrl: 'http://localhost:3000', // Your OpenWebUI instance
-  defaultModel: 'llama3.1',
-  useOllamaProxy: false, // Use OpenWebUI's chat API (recommended)
-  // useOllamaProxy: true, // Use Ollama API proxy for direct model access
-  dangerouslyAllowInsecureConnections: true, // For local HTTPS
-  timeout: 60000, // Longer timeout for local inference
-  maxRetries: 2
+  apiKey: 'your-bearer-token',          // from Settings > Account in OpenWebUI
+  baseUrl: 'http://localhost:3000',
+  defaultModel: 'llama3.1:latest',
+  useOllamaProxy: false,                // false: OpenWebUI chat API (default)
+                                        // true:  direct Ollama proxy
+  dangerouslyAllowInsecureConnections: true
 });
 ```

-## 🌊 Streaming Support
+`useOllamaProxy` flips between two internal strategies — the OpenAI-compatible chat completions endpoint and the direct Ollama generate endpoint.

-All providers support real-time streaming:
+## Streaming
+
+Identical shape across providers:

 ```typescript
-const stream = provider.stream({
-  messages: [{ role: 'user', content: 'Count from 1 to 10' }],
-  maxTokens: 100
-});
-
-for await (const chunk of stream) {
+for await (const chunk of provider.stream({ messages, maxTokens: 200 })) {
  if (!chunk.isComplete) {
    process.stdout.write(chunk.content);
  } else {
-    console.log('\nDone! Usage:', chunk.usage);
+    console.log('\n', chunk.usage);
  }
 }
 ```

-## 🔀 Multi-Provider Usage
+## Structured output

-Use multiple providers seamlessly:
+Ask any provider for a typed JSON response. The library injects a system prompt describing the expected shape and parses the result.

 ```typescript
-const providers = {
-  claude: new ClaudeProvider({ apiKey: process.env.ANTHROPIC_API_KEY! }),
-  openai: new OpenAIProvider({ apiKey: process.env.OPENAI_API_KEY! }),
-  gemini: new GeminiProvider({ apiKey: process.env.GOOGLE_AI_API_KEY! }),
-  openwebui: new OpenWebUIProvider({ 
-    apiKey: 'ollama', 
-    baseUrl: 'http://localhost:3000'
-  })
-};
+import { createResponseType } from 'simple-ai-provider';

-// Initialize all providers
-await Promise.all(Object.values(providers).map(p => p.initialize()));
-
-// Use the same interface for all
-const prompt = { 
-  messages: [{ role: 'user', content: 'Hello!' }],
-  maxTokens: 50 
-};
-
-for (const [name, provider] of Object.entries(providers)) {
-  try {
-    const response = await provider.complete(prompt);
-    console.log(`${name}: ${response.content}`);
-  } catch (error) {
-    console.log(`${name} failed: ${error.message}`);
-  }
+interface UserProfile {
+  name: string;
+  age: number;
+  hobbies: string[];
 }
+
+const profileType = createResponseType<UserProfile>(
+  'A user profile with name, age, and hobbies',
+  { name: 'Alice', age: 30, hobbies: ['climbing', 'photography'] }
+);
+
+const response = await claude.complete({
+  messages: [{ role: 'user', content: 'Generate a fictional user profile.' }],
+  responseType: profileType
+});
+
+// response.content is typed as UserProfile
+// response.rawContent is the original string
+console.log(response.content.name);
 ```

-## 📊 Provider Comparison
+This also works with `stream()` — chunks deliver text, then the final chunk parses.

-| Provider | Context Length | Streaming | Vision | Function Calling | Local Execution | Best For |
-|----------|---------------|-----------|--------|------------------|-----------------|----------|
-| **Claude** | 200K tokens | ✅ | ✅ | ✅ | ❌ | Reasoning, Analysis, Code Review |
-| **OpenAI** | 128K tokens | ✅ | ✅ | ✅ | ❌ | General Purpose, Function Calling |
-| **Gemini** | 1M tokens | ✅ | ✅ | ✅ | ❌ | Large Documents, Multimodal |
-| **OpenWebUI** | 32K tokens | ✅ | ❌ | ❌ | ✅ | Privacy, Custom Models, Local |
+## Factory functions

-### Detailed Capabilities
-
-Each provider offers unique capabilities:
-
-#### Claude (Anthropic)
-
- Advanced reasoning and analysis
- Excellent code review capabilities
- Strong safety features
- System message support
-
-#### OpenAI
-
- Broad model selection
- Function calling support
- JSON mode for structured outputs
- Vision capabilities
-
-#### Gemini (Google)
-
- Largest context window (1M tokens)
- Multimodal capabilities
- Cost-effective pricing
- Strong multilingual support
-
-#### OpenWebUI
-
- Complete privacy (local execution)
- Custom model support
- No API costs
- RAG (Retrieval Augmented Generation) support
-
-## 🎯 Model Selection
-
-### Getting Available Models
-
-Instead of maintaining a static list, you can programmatically get available models:
+If you prefer a single entry point:

 ```typescript
-// Get provider information including available models
-const info = provider.getInfo();
-console.log('Available models:', info.models);
+import { createProvider } from 'simple-ai-provider';

-// Example output:
-// Claude: ['claude-3-5-sonnet-20241022', 'claude-3-5-haiku-20241022', ...]
-// OpenAI: ['gpt-4o', 'gpt-4o-mini', 'gpt-4-turbo', ...]
-// Gemini: ['gemini-1.5-flash', 'gemini-1.5-pro', ...]
-// OpenWebUI: ['llama3.1:latest', 'mistral:latest', ...]
+const claude    = createProvider('claude',      { apiKey: '…' });
+const openai    = createProvider('openai',      { apiKey: '…' });
+const gemini    = createProvider('gemini',      { apiKey: '…' });
+const openwebui = createProvider('openwebui',   { apiKey: '…', baseUrl: '…' });
+const claudeCode = createProvider('claude-code', {});
 ```

-### Model Selection Guidelines
+Per-provider shortcut factories also exist: `createClaudeProvider`, `createOpenAIProvider`, `createGeminiProvider`, `createOpenWebUIProvider`, `createClaudeCodeProvider`.

-**For Claude (Anthropic):**
- Check [Anthropic's model documentation](https://docs.anthropic.com/claude/docs/models-overview) for latest models
+## Error handling

-**For OpenAI:**
- Check [OpenAI's model documentation](https://platform.openai.com/docs/models) for latest models
-
-**For Gemini (Google):**
- Check [Google AI's model documentation](https://ai.google.dev/docs/models) for latest models
-
-**For OpenWebUI:**
- Models depend on your local installation
- Check your OpenWebUI instance for available models
-
-## 🚨 Error Handling
-
-The package provides comprehensive, standardized error handling with detailed error types:
+Every error thrown by the library is an `AIProviderError` with a typed `.type` and optional `.statusCode`:

 ```typescript
 import { AIProviderError, AIErrorType } from 'simple-ai-provider';

 try {
-  const response = await provider.complete({ 
-    messages: [{ role: 'user', content: 'Hello' }] 
-  });
+  await provider.complete({ messages: [...] });
 } catch (error) {
  if (error instanceof AIProviderError) {
    switch (error.type) {
-      case AIErrorType.AUTHENTICATION:
-        console.log('Invalid API key or authentication failed');
-        break;
-      case AIErrorType.RATE_LIMIT:
-        console.log('Rate limited, try again later');
-        break;
-      case AIErrorType.MODEL_NOT_FOUND:
-        console.log('Model not available or not found');
-        break;
-      case AIErrorType.INVALID_REQUEST:
-        console.log('Invalid request parameters');
-        break;
-      case AIErrorType.NETWORK:
-        console.log('Network/connection issue');
-        break;
-      case AIErrorType.TIMEOUT:
-        console.log('Request timed out');
-        break;
-      case AIErrorType.UNKNOWN:
-        console.log('Unknown error:', error.message);
-        break;
-      default:
-        console.log('Error:', error.message);
+      case AIErrorType.AUTHENTICATION:   /* bad API key, expired token */ break;
+      case AIErrorType.RATE_LIMIT:       /* slow down */ break;
+      case AIErrorType.MODEL_NOT_FOUND:  /* wrong model name */ break;
+      case AIErrorType.INVALID_REQUEST:  /* bad input */ break;
+      case AIErrorType.NETWORK:          /* transient connectivity */ break;
+      case AIErrorType.TIMEOUT:          /* slow request */ break;
+      case AIErrorType.UNKNOWN:          /* fall back */ break;
    }
-    
-    // Access additional error details
-    console.log('Status Code:', error.statusCode);
-    console.log('Original Error:', error.originalError);
+    console.error(error.statusCode, error.originalError);
  }
 }
 ```

-### Error Types
+## Configuration reference

- **AUTHENTICATION**: Invalid API keys or authentication failures
- **RATE_LIMIT**: API rate limits exceeded
- **INVALID_REQUEST**: Malformed requests or invalid parameters
- **MODEL_NOT_FOUND**: Requested model is not available
- **NETWORK**: Connection issues or server errors
- **TIMEOUT**: Request timeout exceeded
- **UNKNOWN**: Unclassified errors
+All providers share these base options:

-## 🔧 Advanced Usage
+| Option       | Type     | Default   | Notes                                  |
+|--------------|----------|-----------|----------------------------------------|
+| `apiKey`     | `string` | required¹ | ¹ Optional for `ClaudeCodeProvider`    |
+| `baseUrl`    | `string` | provider default | Custom or self-hosted endpoint  |
+| `timeout`    | `number` | `30000`   | Request timeout in ms                  |
+| `maxRetries` | `number` | `3`       | SDK-level retry attempts               |

-### Custom Base URLs
+Each provider adds its own config (see the sections above).
+
+## TypeScript
+
+Full type definitions ship with the package. The main types you'll use:

 ```typescript
-// OpenAI-compatible endpoint
-const customOpenAI = new OpenAIProvider({
-  apiKey: 'your-key',
-  baseUrl: 'https://api.custom-provider.com/v1'
-});
+import type {
+  AIMessage,
+  CompletionParams,
+  CompletionResponse,
+  CompletionChunk,
+  TokenUsage,
+  ProviderInfo,
+  ResponseType,

-// Custom OpenWebUI instance
-const remoteOpenWebUI = new OpenWebUIProvider({
-  apiKey: 'your-key',
-  baseUrl: 'https://my-openwebui.example.com',
-  apiPath: '/api/v1'
-});
+  // Per-provider config interfaces
+  ClaudeConfig,
+  ClaudeCodeConfig,
+  OpenAIConfig,
+  GeminiConfig,
+  OpenWebUIConfig
+} from 'simple-ai-provider';
 ```

-### Provider Information
+`CompletionResponse<T>` is generic — when you pass `responseType`, `content` is `T` (and the original string is preserved on `rawContent`).
+
+## Provider metadata
+
+Every provider exposes `getInfo()`:

 ```typescript
 const info = provider.getInfo();
-console.log(`Provider: ${info.name} v${info.version}`);
-console.log(`Models: ${info.models.join(', ')}`);
-console.log(`Max Context: ${info.maxContextLength} tokens`);
-console.log(`Supports Streaming: ${info.supportsStreaming}`);
-console.log('Capabilities:', info.capabilities);
+//   { name, version, models, maxContextLength, supportsStreaming, capabilities }
 ```

-### OpenWebUI-Specific Features
+Model lists in `info.models` are example values — refer to each vendor's docs for the current authoritative list. The library accepts any model string the underlying SDK supports.

-OpenWebUI offers unique advantages for local AI deployment:
+## Architecture (brief)

-```typescript
-const openwebui = new OpenWebUIProvider({
-  apiKey: 'your-bearer-token', // Get from OpenWebUI Settings > Account
-  baseUrl: 'http://localhost:3000',
-  defaultModel: 'llama3.1',
-  useOllamaProxy: false, // Use chat completions API (recommended)
-  // Longer timeout for local inference
-  timeout: 120000,
-  // Allow self-signed certificates for local development
-  dangerouslyAllowInsecureConnections: true
-});
+The library uses a template-method base class (`BaseAIProvider`) that owns the public lifecycle (`initialize`, `complete`, `stream`), input validation, response-type parsing, and error normalization. Each provider supplies:

-// Test connection and list available models
-try {
-  await openwebui.initialize();
-  console.log('Connected to local OpenWebUI instance');
-  
-  // Use either chat completions or Ollama proxy
-  const response = await openwebui.complete({
-    messages: [{ role: 'user', content: 'Hello!' }],
-    maxTokens: 100
-  });
-} catch (error) {
-  console.log('OpenWebUI not available:', error.message);
-  // Gracefully fallback to cloud providers
-}
-```
+- `doInitialize()` / `doComplete()` / `doStream()` — the actual SDK calls
+- `getModelNamePatterns()` — regexes for naming-convention warnings
+- `sendValidationProbe()` — minimal request used during `initialize()`
+- `mapProviderError()` / `providerErrorMessages()` — provider-specific error translation

-**OpenWebUI API Modes:**
+`OpenWebUIProvider` additionally uses an internal strategy split (`OpenWebUIChatStrategy` vs `OpenWebUIOllamaStrategy`) selected by `useOllamaProxy`.

- **Chat Completions** (`useOllamaProxy: false`): OpenWebUI's native API with full features
- **Ollama Proxy** (`useOllamaProxy: true`): Direct access to Ollama API for raw model interaction
-
-## 📦 TypeScript Support
-
-Full TypeScript support with comprehensive type definitions:
-
-```typescript
-import type { 
-  CompletionParams, 
-  CompletionResponse, 
-  CompletionChunk,
-  ProviderInfo,
-  ClaudeConfig,
-  OpenAIConfig,
-  GeminiConfig,
-  OpenWebUIConfig,
-  AIMessage,
-  ResponseType,
-  TokenUsage
-} from 'simple-ai-provider';
-
-// Type-safe configuration
-const config: ClaudeConfig = {
-  apiKey: 'your-key',
-  defaultModel: 'claude-3-5-sonnet-20241022',
-  // TypeScript will validate all options
-};
-
-// Type-safe responses
-const response: CompletionResponse = await provider.complete(params);
-
-// Type-safe messages with metadata
-const messages: AIMessage[] = [
-  { 
-    role: 'user', 
-    content: 'Hello',
-    metadata: { timestamp: Date.now() }
-  }
-];
-
-// Type-safe response types
-interface UserProfile {
-  name: string;
-  age: number;
-}
-
-const responseType: ResponseType<UserProfile> = createResponseType(
-  'A user profile with name and age',
-  { name: 'John', age: 30 }
-);
-```
-
-### Advanced Type Features
-
- **Generic Response Types**: Type-safe structured outputs
- **Message Metadata**: Support for custom message properties
- **Provider-Specific Configs**: Type-safe configuration for each provider
- **Error Types**: Comprehensive error type definitions
- **Factory Functions**: Type-safe provider creation
-
-## 🧪 Testing
-
-The package includes comprehensive tests using Bun test framework:
+## Development

 ```bash
-# Run all tests
-bun test
-
-# Run tests for specific provider
-bun test tests/claude.test.ts
-bun test tests/openai.test.ts
-bun test tests/gemini.test.ts
-bun test tests/openwebui.test.ts
-
-# Run tests with coverage
-bun test --coverage
-```
-
-### Test Coverage
-
- ✅ Provider initialization and configuration
- ✅ Message validation and conversion
- ✅ Error handling and normalization
- ✅ Response formatting
- ✅ Streaming functionality
- ✅ Structured response types
- ✅ Factory functions
- ✅ Provider registry
-
-## 🛠️ Development
-
-### Prerequisites
-
- Node.js 18.0.0 or higher
- Bun (recommended) or npm/yarn
- TypeScript 5.0 or higher
-
-### Setup
-
-```bash
-# Clone the repository
 git clone https://gitea.jleibl.net/jleibl/simple-ai-provider.git
 cd simple-ai-provider
-
-# Install dependencies
 bun install
-
-# Build the project
 bun run build
+```

-# Run tests
-bun test
+Examples live in `examples/`:

-# Run examples
+```bash
 bun run examples/basic-usage.ts
-bun run examples/structured-response-types.ts
 bun run examples/multi-provider.ts
+bun run examples/structured-response-types.ts
 ```

-### Project Structure
+Tests in `tests/` use Bun's test runner (`bun test`). Note: post-refactor some tests need updating before they pass cleanly.

-```text
-src/
-├── index.ts              # Main entry point
-├── types/
-│   └── index.ts          # Type definitions and utilities
-├── providers/
-│   ├── base.ts           # Abstract base provider
-│   ├── claude.ts         # Claude provider implementation
-│   ├── openai.ts         # OpenAI provider implementation
-│   ├── gemini.ts         # Gemini provider implementation
-│   ├── openwebui.ts      # OpenWebUI provider implementation
-│   └── index.ts          # Provider exports
-└── utils/
-    └── factory.ts        # Factory functions and registry
+## License

-examples/
-├── basic-usage.ts        # Basic usage examples
-├── structured-response-types.ts  # Structured output examples
-└── multi-provider.ts     # Multi-provider examples
+MIT — see [LICENSE](LICENSE).

-tests/
-├── claude.test.ts        # Claude provider tests
-├── openai.test.ts        # OpenAI provider tests
-├── gemini.test.ts        # Gemini provider tests
-└── openwebui.test.ts     # OpenWebUI provider tests
-```
-
-## 🤝 Contributing
-
-Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
-
-### Development Guidelines
-
-1. **Code Style**: Follow the existing TypeScript patterns
-2. **Testing**: Add tests for new features
-3. **Documentation**: Update README for new features
-4. **Type Safety**: Maintain comprehensive type definitions
-5. **Error Handling**: Use standardized error types
-
-## 📄 License
-
-MIT License - see the [LICENSE](LICENSE) file for details.
-
-## 🔗 Links
+## Links

 - [Anthropic Claude API](https://docs.anthropic.com/claude/reference/)
+- [Claude Code SDK](https://docs.anthropic.com/claude/docs/claude-code-sdk)
 - [OpenAI API](https://platform.openai.com/docs/)
- [Google Gemini API](https://ai.google.dev/)
+- [Google Gen AI SDK](https://ai.google.dev/)
 - [OpenWebUI](https://openwebui.com/)
- [Gitea Repository](https://gitea.jleibl.net/jleibl/simple-ai-provider)
-
---
-
-⭐ **Star this repo if you find it helpful!**
+- [Repository](https://gitea.jleibl.net/jleibl/simple-ai-provider)
--- a/bun.lock
+++ b/bun.lock
@@ -4,6 +4,7 @@
    "": {
      "name": "simple-ai-provider",
      "dependencies": {
+        "@anthropic-ai/claude-agent-sdk": "^0.3.146",
        "@anthropic-ai/sdk": "^0.97.0",
        "@google/genai": "^2.5.0",
        "openai": "^6.0.0",
@@ -19,12 +20,34 @@
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+
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    "safe-buffer": ["safe-buffer@5.2.1", "", {}, "sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ=="],

+    "safer-buffer": ["safer-buffer@2.1.2", "", {}, "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="],
+
+    "send": ["send@1.2.1", "", { "dependencies": { "debug": "^4.4.3", "encodeurl": "^2.0.0", "escape-html": "^1.0.3", "etag": "^1.8.1", "fresh": "^2.0.0", "http-errors": "^2.0.1", "mime-types": "^3.0.2", "ms": "^2.1.3", "on-finished": "^2.4.1", "range-parser": "^1.2.1", "statuses": "^2.0.2" } }, "sha512-1gnZf7DFcoIcajTjTwjwuDjzuz4PPcY2StKPlsGAQ1+YH20IRVrBaXSWmdjowTJ6u8Rc01PoYOGHXfP1mYcZNQ=="],
+
+    "serve-static": ["serve-static@2.2.1", "", { "dependencies": { "encodeurl": "^2.0.0", "escape-html": "^1.0.3", "parseurl": "^1.3.3", "send": "^1.2.0" } }, "sha512-xRXBn0pPqQTVQiC8wyQrKs2MOlX24zQ0POGaj0kultvoOCstBQM5yvOhAVSUwOMjQtTvsPWoNCHfPGwaaQJhTw=="],
+
+    "setprototypeof": ["setprototypeof@1.2.0", "", {}, "sha512-E5LDX7Wrp85Kil5bhZv46j8jOeboKq5JMmYM3gVGdGH8xFpPWXUMsNrlODCrkoxMEeNi/XZIwuRvY4XNwYMJpw=="],
+
+    "shebang-command": ["shebang-command@2.0.0", "", { "dependencies": { "shebang-regex": "^3.0.0" } }, "sha512-kHxr2zZpYtdmrN1qDjrrX/Z1rR1kG8Dx+gkpK1G4eXmvXswmcE1hTWBWYUzlraYw1/yZp6YuDY77YtvbN0dmDA=="],
+
+    "shebang-regex": ["shebang-regex@3.0.0", "", {}, "sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A=="],
+
+    "side-channel": ["side-channel@1.1.0", "", { "dependencies": { "es-errors": "^1.3.0", "object-inspect": "^1.13.3", "side-channel-list": "^1.0.0", "side-channel-map": "^1.0.1", "side-channel-weakmap": "^1.0.2" } }, "sha512-ZX99e6tRweoUXqR+VBrslhda51Nh5MTQwou5tnUDgbtyM0dBgmhEDtWGP/xbKn6hqfPRHujUNwz5fy/wbbhnpw=="],
+
+    "side-channel-list": ["side-channel-list@1.0.1", "", { "dependencies": { "es-errors": "^1.3.0", "object-inspect": "^1.13.4" } }, "sha512-mjn/0bi/oUURjc5Xl7IaWi/OJJJumuoJFQJfDDyO46+hBWsfaVM65TBHq2eoZBhzl9EchxOijpkbRC8SVBQU0w=="],
+
+    "side-channel-map": ["side-channel-map@1.0.1", "", { "dependencies": { "call-bound": "^1.0.2", "es-errors": "^1.3.0", "get-intrinsic": "^1.2.5", "object-inspect": "^1.13.3" } }, "sha512-VCjCNfgMsby3tTdo02nbjtM/ewra6jPHmpThenkTYh8pG9ucZ/1P8So4u4FGBek/BjpOVsDCMoLA/iuBKIFXRA=="],
+
+    "side-channel-weakmap": ["side-channel-weakmap@1.0.2", "", { "dependencies": { "call-bound": "^1.0.2", "es-errors": "^1.3.0", "get-intrinsic": "^1.2.5", "object-inspect": "^1.13.3", "side-channel-map": "^1.0.1" } }, "sha512-WPS/HvHQTYnHisLo9McqBHOJk2FkHO/tlpvldyrnem4aeQp4hai3gythswg6p01oSoTl58rcpiFAjF2br2Ak2A=="],
+
    "standardwebhooks": ["standardwebhooks@1.0.0", "", { "dependencies": { "@stablelib/base64": "^1.0.0", "fast-sha256": "^1.3.0" } }, "sha512-BbHGOQK9olHPMvQNHWul6MYlrRTAOKn03rOe4A8O3CLWhNf4YHBqq2HJKKC+sfqpxiBY52pNeesD6jIiLDz8jg=="],

+    "statuses": ["statuses@2.0.2", "", {}, "sha512-DvEy55V3DB7uknRo+4iOGT5fP1slR8wQohVdknigZPMpMstaKJQWhwiYBACJE3Ul2pTnATihhBYnRhZQHGBiRw=="],
+
+    "toidentifier": ["toidentifier@1.0.1", "", {}, "sha512-o5sSPKEkg/DIQNmH43V0/uerLrpzVedkUh8tGNvaeXpfpuwjKenlSox/2O/BTlZUtEe+JG7s5YhEz608PlAHRA=="],
+
    "ts-algebra": ["ts-algebra@2.0.0", "", {}, "sha512-FPAhNPFMrkwz76P7cdjdmiShwMynZYN6SgOujD1urY4oNm80Ou9oMdmbR45LotcKOXoy7wSmHkRFE6Mxbrhefw=="],

+    "type-is": ["type-is@2.1.0", "", { "dependencies": { "content-type": "^2.0.0", "media-typer": "^1.1.0", "mime-types": "^3.0.0" } }, "sha512-faYHw0anBbc/kWF3zFTEnxSFOAGUX9GFbOBthvDdLsIlEoWOFOtS0zgCiQYwIskL9iGXZL3kAXD8OoZ4GmMATA=="],
+
    "typescript": ["typescript@6.0.3", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-y2TvuxSZPDyQakkFRPZHKFm+KKVqIisdg9/CZwm9ftvKXLP8NRWj38/ODjNbr43SsoXqNuAisEf1GdCxqWcdBw=="],

    "undici-types": ["undici-types@7.24.6", "", {}, "sha512-WRNW+sJgj5OBN4/0JpHFqtqzhpbnV0GuB+OozA9gCL7a993SmU+1JBZCzLNxYsbMfIeDL+lTsphD5jN5N+n0zg=="],

+    "unpipe": ["unpipe@1.0.0", "", {}, "sha512-pjy2bYhSsufwWlKwPc+l3cN7+wuJlK6uz0YdJEOlQDbl6jo/YlPi4mb8agUkVC8BF7V8NuzeyPNqRksA3hztKQ=="],
+
+    "vary": ["vary@1.1.2", "", {}, "sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg=="],
+
    "web-streams-polyfill": ["web-streams-polyfill@3.3.3", "", {}, "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw=="],

+    "which": ["which@2.0.2", "", { "dependencies": { "isexe": "^2.0.0" }, "bin": { "node-which": "./bin/node-which" } }, "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA=="],
+
+    "wrappy": ["wrappy@1.0.2", "", {}, "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ=="],
+
    "ws": ["ws@8.20.1", "", { "peerDependencies": { "bufferutil": "^4.0.1", "utf-8-validate": ">=5.0.2" }, "optionalPeers": ["bufferutil", "utf-8-validate"] }, "sha512-It4dO0K5v//JtTXuPkfEOaI3uUN87iYPnqo/ZzqCoG3g8uhA66QUMs/SrM0YK7/NAu+r4LMh/9dq2A7k+rHs+w=="],

+    "zod": ["zod@4.4.3", "", {}, "sha512-ytENFjIJFl2UwYglde2jchW2Hwm4GJFLDiSXWdTrJQBIN9Fcyp7n4DhxJEiWNAJMV1/BqWfW/kkg71UDcHJyTQ=="],
+
+    "zod-to-json-schema": ["zod-to-json-schema@3.25.2", "", { "peerDependencies": { "zod": "^3.25.28 || ^4" } }, "sha512-O/PgfnpT1xKSDeQYSCfRI5Gy3hPf91mKVDuYLUHZJMiDFptvP41MSnWofm8dnCm0256ZNfZIM7DSzuSMAFnjHA=="],
+
    "bun-types/@types/node": ["@types/node@24.12.4", "", { "dependencies": { "undici-types": "~7.16.0" } }, "sha512-GUUEShf+PBCGW2KaXwcIt3Yk+e3pkKwWKb9GSyM9WQVE+ep2jzmHdGsHzu4wgcZy5fN9FBdVzjpBQsYlpfpgLA=="],

+    "type-is/content-type": ["content-type@2.0.0", "", {}, "sha512-j/O/d7GcZCyNl7/hwZAb606rzqkyvaDctLmckbxLzHvFBzTJHuGEdodATcP3yIRoDrLHkIATJuvzbFlp/ki2cQ=="],
+
    "bun-types/@types/node/undici-types": ["undici-types@7.16.0", "", {}, "sha512-Zz+aZWSj8LE6zoxD+xrjh4VfkIG8Ya6LvYkZqtUQGJPZjYl53ypCaUwWqo7eI0x66KBGeRo+mlBEkMSeSZ38Nw=="],
  }
 }
--- a/examples/claude-code.ts
+++ b/examples/claude-code.ts
@@ -0,0 +1,61 @@
+/**
+ * Quick smoke test for ClaudeCodeProvider.
+ *
+ * Prereqs (pick one):
+ *  - Claude Pro/Max subscription: run `claude setup-token`, then set
+ *    CLAUDE_CODE_OAUTH_TOKEN=<the token it prints> in your environment
+ *    (or pass it as `oauthToken` below).
+ *  - Console API key: set ANTHROPIC_API_KEY (or pass `apiKey`).
+ *
+ * `claude login` alone is NOT sufficient for SDK use — Anthropic gates
+ * non-interactive (`claude -p`) invocations behind a separate token.
+ *
+ * Run:  bun run examples/claude-code.ts
+ */
+
+import { ClaudeCodeProvider } from '../src/index.js';
+
+async function main() {
+  const claude = new ClaudeCodeProvider({
+    defaultModel: 'sonnet',
+    oauthToken: process.env.CLAUDE_CODE_OAUTH_TOKEN
+  });
+
+  console.log('Initializing…');
+  await claude.initialize();
+  console.log('Ready.\n');
+
+  // ── Non-streaming completion ───────────────────────────────────────────
+  console.log('--- complete() ---');
+  const response = await claude.complete({
+    messages: [
+      { role: 'system', content: 'You are concise. Reply in one sentence.' },
+      { role: 'user', content: 'What is the capital of Japan?' }
+    ],
+    maxTokens: 100
+  });
+
+  console.log(response.content);
+  console.log(`tokens: ${response.usage.totalTokens} | cost: $${response.metadata?.costUsd ?? '?'}\n`);
+
+  // ── Streaming ──────────────────────────────────────────────────────────
+  console.log('--- stream() ---');
+  let totalTokens = 0;
+  for await (const chunk of claude.stream({
+    messages: [{ role: 'user', content: 'Count from 1 to 5, one per line.' }],
+    maxTokens: 100
+  })) {
+    if (!chunk.isComplete) {
+      process.stdout.write(chunk.content);
+    } else {
+      totalTokens = chunk.usage?.totalTokens ?? 0;
+    }
+  }
+  console.log(`\ntokens: ${totalTokens}`);
+}
+
+main().catch(err => {
+  console.error('Failed:', err.message);
+  if (err.type) console.error('Type:', err.type);
+  process.exit(1);
+});
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
  "name": "simple-ai-provider",
-  "version": "2.0.0",
+  "version": "2.1.0",
  "description": "A simple and extensible AI provider package for easy integration of multiple AI services",
  "main": "dist/index.js",
  "module": "dist/index.mjs",
@@ -21,8 +21,8 @@
    "build": "bun run build:clean && bun run build:types && bun run build:esm && bun run build:cjs",
    "build:clean": "rm -rf dist",
    "build:types": "tsc --project tsconfig.build.json",
-    "build:esm": "bun build src/index.ts --outfile dist/index.mjs --format esm",
-    "build:cjs": "bun build src/index.ts --outfile dist/index.js --format cjs",
+    "build:esm": "bun build src/index.ts --outfile dist/index.mjs --format esm --target node",
+    "build:cjs": "bun build src/index.ts --outfile dist/index.js --format cjs --target node",
    "dev": "bun run src/index.ts",
    "test": "bun test",
    "prepublishOnly": "bun run build"
@@ -52,6 +52,7 @@
    "url": "https://gitea.jleibl.net/jleibl/simple-ai-provider.git"
  },
  "dependencies": {
+    "@anthropic-ai/claude-agent-sdk": "^0.3.146",
    "@anthropic-ai/sdk": "^0.97.0",
    "@google/genai": "^2.5.0",
    "openai": "^6.0.0"
--- a/src/constants.ts
+++ b/src/constants.ts
@@ -0,0 +1,36 @@
+/**
+ * Shared defaults used across all providers.
+ */
+
+export const DEFAULT_TIMEOUT_MS = 30_000;
+export const DEFAULT_MAX_RETRIES = 3;
+export const DEFAULT_MAX_TOKENS = 1000;
+export const DEFAULT_TEMPERATURE = 0.7;
+
+/**
+ * Minimal prompt used to validate API credentials on initialization.
+ */
+export const VALIDATION_PROMPT = 'Hi';
+
+export const DEFAULT_MODELS = {
+  claude: 'claude-3-5-sonnet-20241022',
+  openai: 'gpt-4o',
+  gemini: 'gemini-2.5-flash',
+  openwebui: 'llama3.1:latest',
+  'claude-code': 'sonnet'
+} as const;
+
+export const DEFAULT_OPENWEBUI_BASE_URL = 'http://localhost:3000';
+
+export const DEFAULT_ANTHROPIC_VERSION = '2023-06-01';
+
+/**
+ * Bounds for configuration value validation.
+ */
+export const CONFIG_BOUNDS = {
+  timeoutMs: { min: 1000, max: 300_000 },
+  maxRetries: { min: 0, max: 10 },
+  temperature: { min: 0, max: 1 },
+  topP: { min: 0, max: 1, exclusiveMin: true },
+  maxTokens: { min: 1 }
+} as const;
--- a/src/index.ts
+++ b/src/index.ts
@@ -38,6 +38,7 @@ export { ClaudeProvider, type ClaudeConfig } from './providers/claude.js';
 export { OpenAIProvider, type OpenAIConfig } from './providers/openai.js';
 export { GeminiProvider, type GeminiConfig } from './providers/gemini.js';
 export { OpenWebUIProvider, type OpenWebUIConfig } from './providers/openwebui.js';
+export { ClaudeCodeProvider, type ClaudeCodeConfig } from './providers/claude-code.js';

 // Factory utilities
 export {
@@ -46,6 +47,7 @@ export {
  createOpenAIProvider,
  createGeminiProvider,
  createOpenWebUIProvider,
+  createClaudeCodeProvider,
  type ProviderType,
  PROVIDER_REGISTRY
 } from './utils/factory.js';
@@ -53,9 +55,9 @@ export {
 /**
 * List of all supported providers
 */
-export const SUPPORTED_PROVIDERS = ['claude', 'openai', 'gemini', 'openwebui'] as const;
+export const SUPPORTED_PROVIDERS = ['claude', 'openai', 'gemini', 'openwebui', 'claude-code'] as const;

 /**
 * Package version
 */
-export const VERSION = '1.3.1'; 
+export const VERSION = '2.1.0';
--- a/src/providers/base.ts
+++ b/src/providers/base.ts
@@ -23,6 +23,11 @@ import type {
  ResponseType
 } from '../types/index.js';
 import { AIProviderError, AIErrorType, generateResponseTypePrompt, parseAndValidateResponseType } from '../types/index.js';
+import {
+  CONFIG_BOUNDS,
+  DEFAULT_MAX_RETRIES,
+  DEFAULT_TIMEOUT_MS
+} from '../constants.js';

 // ============================================================================
 // ABSTRACT BASE PROVIDER CLASS
@@ -283,10 +288,104 @@ export abstract class BaseAIProvider {
   */
  protected abstract doStream<T = any>(params: CompletionParams<T>): AsyncIterable<CompletionChunk>;

+  // ========================================================================
+  // PROTECTED HOOKS (subclass overrides; safe defaults provided)
+  // ========================================================================
+
+  /**
+   * Regex patterns that valid model names should match.
+   * Empty array (the default) skips validation entirely.
+   */
+  protected getModelNamePatterns(): RegExp[] {
+    return [];
+  }
+
+  /**
+   * Send a minimal request to verify the API key and connectivity.
+   * The default does nothing; SDK-based providers override this and the
+   * base `validateConnection` handles error mapping.
+   */
+  protected async sendValidationProbe(): Promise<void> {
+    return;
+  }
+
+  /**
+   * Map a provider-specific error to a normalized AIProviderError, or
+   * return null to let the base error mapping handle it generically.
+   * Override to recognize provider-specific message patterns (e.g. "API
+   * key", "quota", "model not found").
+   */
+  protected mapProviderError(_error: any): AIProviderError | null {
+    return null;
+  }
+
+  /**
+   * Per-HTTP-status message overrides used by `normalizeError` when no
+   * provider-specific mapping applies. Lets providers add brand-flavored
+   * hints (console URLs, etc.) without re-implementing the status switch.
+   */
+  protected providerErrorMessages(): Partial<Record<number, string>> {
+    return {};
+  }
+
+  /**
+   * Human-readable provider name used in warning messages.
+   * Default derives from getInfo(); override if construction order makes
+   * getInfo() unsafe to call here.
+   */
+  protected get providerName(): string {
+    try {
+      return this.getInfo().name;
+    } catch {
+      return 'Provider';
+    }
+  }
+
  // ========================================================================
  // PROTECTED UTILITY METHODS
  // ========================================================================

+  /**
+   * Validates a model name against the patterns returned by
+   * `getModelNamePatterns()`. Throws for invalid input, warns for
+   * non-matching names (since model lists change frequently).
+   */
+  protected validateModelName(modelName: string): void {
+    if (!modelName || typeof modelName !== 'string') {
+      throw new AIProviderError(
+        'Model name must be a non-empty string',
+        AIErrorType.INVALID_REQUEST
+      );
+    }
+
+    const patterns = this.getModelNamePatterns();
+    if (patterns.length === 0) return;
+
+    const matches = patterns.some(pattern => pattern.test(modelName));
+    if (!matches) {
+      console.warn(
+        `Model name '${modelName}' doesn't match expected ${this.providerName} naming patterns. This may cause API errors.`
+      );
+    }
+  }
+
+  /**
+   * Wraps `sendValidationProbe()` with consistent error handling: throws
+   * AIProviderError for provider-recognized failures, warns and continues
+   * for transient ones.
+   */
+  protected async validateConnection(): Promise<void> {
+    try {
+      await this.sendValidationProbe();
+    } catch (error: any) {
+      const mapped = this.mapProviderError(error);
+      if (mapped) {
+        throw mapped;
+      }
+      console.warn(`${this.providerName} connection validation warning:`, error.message);
+    }
+  }
+
  /**
   * Validates and normalizes provider configuration.
   * 
@@ -314,60 +413,78 @@ export abstract class BaseAIProvider {
      );
    }

-    // Apply defaults and return normalized config
+    this.validateNumberInRange('timeout', config.timeout, {
+      ...CONFIG_BOUNDS.timeoutMs,
+      label: `${CONFIG_BOUNDS.timeoutMs.min}ms and ${CONFIG_BOUNDS.timeoutMs.max}ms`
+    });
+    this.validateNumberInRange('maxRetries', config.maxRetries, {
+      ...CONFIG_BOUNDS.maxRetries,
+      integer: true
+    });
+
    return {
      ...config,
-      timeout: this.validateTimeout(config.timeout),
-      maxRetries: this.validateMaxRetries(config.maxRetries)
+      timeout: config.timeout ?? DEFAULT_TIMEOUT_MS,
+      maxRetries: config.maxRetries ?? DEFAULT_MAX_RETRIES
    };
  }

  /**
-   * Validates timeout configuration value.
-   * 
-   * @private
-   * @param timeout - Timeout value to validate
-   * @returns Validated timeout value with default if needed
+   * Validates an optional numeric parameter against a range.
+   * Skips validation when value is undefined so callers can apply defaults afterward.
   */
-  private validateTimeout(timeout?: number): number {
-    const defaultTimeout = 30000; // 30 seconds
-    
-    if (timeout === undefined) {
-      return defaultTimeout;
+  private validateNumberInRange(
+    name: string,
+    value: number | undefined,
+    bounds: {
+      min?: number;
+      max?: number;
+      exclusiveMin?: boolean;
+      integer?: boolean;
+      label?: string;
    }
+  ): void {
+    if (value === undefined) return;

-    if (typeof timeout !== 'number' || timeout < 1000 || timeout > 300000) {
+    const { min, max, exclusiveMin, integer, label } = bounds;
+    const range = label ?? this.describeRange(min, max, exclusiveMin);
+
+    if (typeof value !== 'number' || Number.isNaN(value)) {
      throw new AIProviderError(
-        'Timeout must be a number between 1000ms (1s) and 300000ms (5min)',
+        `${name} must be a number between ${range}`,
        AIErrorType.INVALID_REQUEST
      );
    }

-    return timeout;
+    if (integer && !Number.isInteger(value)) {
+      throw new AIProviderError(
+        `${name} must be an integer`,
+        AIErrorType.INVALID_REQUEST
+      );
+    }
+
+    if (min !== undefined && (exclusiveMin ? value <= min : value < min)) {
+      throw new AIProviderError(
+        `${name} must be ${exclusiveMin ? 'greater than' : 'at least'} ${min}`,
+        AIErrorType.INVALID_REQUEST
+      );
+    }
+
+    if (max !== undefined && value > max) {
+      throw new AIProviderError(
+        `${name} must be at most ${max}`,
+        AIErrorType.INVALID_REQUEST
+      );
+    }
  }

-  /**
-   * Validates max retries configuration value.
-   * 
-   * @private
-   * @param maxRetries - Max retries value to validate
-   * @returns Validated max retries value with default if needed
-   */
-  private validateMaxRetries(maxRetries?: number): number {
-    const defaultMaxRetries = 3;
-    
-    if (maxRetries === undefined) {
-      return defaultMaxRetries;
+  private describeRange(min?: number, max?: number, exclusiveMin?: boolean): string {
+    if (min !== undefined && max !== undefined) {
+      return `${exclusiveMin ? '>' : '>='}${min} and <=${max}`;
    }
-
-    if (typeof maxRetries !== 'number' || maxRetries < 0 || maxRetries > 10) {
-      throw new AIProviderError(
-        'Max retries must be a number between 0 and 10',
-        AIErrorType.INVALID_REQUEST
-      );
-    }
-
-    return maxRetries;
+    if (min !== undefined) return `${exclusiveMin ? '>' : '>='}${min}`;
+    if (max !== undefined) return `<=${max}`;
+    return 'a valid number';
  }

  /**
@@ -403,13 +520,11 @@ export abstract class BaseAIProvider {
      );
    }

-    // Validate messages array
    this.validateMessages(params.messages);

-    // Validate optional parameters
-    this.validateTemperature(params.temperature);
-    this.validateTopP(params.topP);
-    this.validateMaxTokens(params.maxTokens);
+    this.validateNumberInRange('temperature', params.temperature, CONFIG_BOUNDS.temperature);
+    this.validateNumberInRange('topP', params.topP, CONFIG_BOUNDS.topP);
+    this.validateNumberInRange('maxTokens', params.maxTokens, { ...CONFIG_BOUNDS.maxTokens, integer: true });
    this.validateStopSequences(params.stopSequences);
  }

@@ -456,67 +571,6 @@ export abstract class BaseAIProvider {
    }
  }

-  /**
-   * Validates temperature parameter.
-   * 
-   * @private
-   * @param temperature - Temperature value to validate
-   * @throws {AIProviderError} If temperature is invalid
-   */
-  private validateTemperature(temperature?: number): void {
-    if (temperature !== undefined) {
-      if (typeof temperature !== 'number' || temperature < 0 || temperature > 1) {
-        throw new AIProviderError(
-          'Temperature must be a number between 0.0 and 1.0',
-          AIErrorType.INVALID_REQUEST
-        );
-      }
-    }
-  }
-
-  /**
-   * Validates top-p parameter.
-   * 
-   * @private
-   * @param topP - Top-p value to validate
-   * @throws {AIProviderError} If top-p is invalid
-   */
-  private validateTopP(topP?: number): void {
-    if (topP !== undefined) {
-      if (typeof topP !== 'number' || topP <= 0 || topP > 1) {
-        throw new AIProviderError(
-          'Top-p must be a number between 0.0 (exclusive) and 1.0 (inclusive)',
-          AIErrorType.INVALID_REQUEST
-        );
-      }
-    }
-  }
-
-  /**
-   * Validates max tokens parameter.
-   * 
-   * @private
-   * @param maxTokens - Max tokens value to validate
-   * @throws {AIProviderError} If max tokens is invalid
-   */
-  private validateMaxTokens(maxTokens?: number): void {
-    if (maxTokens !== undefined) {
-      if (typeof maxTokens !== 'number' || !Number.isInteger(maxTokens) || maxTokens < 1) {
-        throw new AIProviderError(
-          'Max tokens must be a positive integer',
-          AIErrorType.INVALID_REQUEST
-        );
-      }
-    }
-  }
-
-  /**
-   * Validates stop sequences parameter.
-   * 
-   * @private
-   * @param stopSequences - Stop sequences to validate
-   * @throws {AIProviderError} If stop sequences are invalid
-   */
  private validateStopSequences(stopSequences?: string[]): void {
    if (stopSequences !== undefined) {
      if (!Array.isArray(stopSequences)) {
@@ -587,65 +641,52 @@ export abstract class BaseAIProvider {
   * @returns Normalized AIProviderError with appropriate type and context
   */
  protected normalizeError(error: Error): AIProviderError {
-    // If already normalized, return as-is
    if (error instanceof AIProviderError) {
      return error;
    }

-    // Extract status code if available
-    const status = (error as any).status || (error as any).statusCode;
-    const message = error.message || 'Unknown error occurred';
-
-    // Map HTTP status codes to error types
-    if (status) {
-      switch (status) {
-        case 400:
-          return new AIProviderError(
-            `Bad request: ${message}`,
-            AIErrorType.INVALID_REQUEST,
-            status,
-            error
-          );
-        
-        case 401:
-        case 403:
-          return new AIProviderError(
-            'Authentication failed. Please verify your API key is correct and has the necessary permissions.',
-            AIErrorType.AUTHENTICATION,
-            status,
-            error
-          );
-        
-        case 404:
-          return new AIProviderError(
-            'The specified model or endpoint was not found. Please check the model name and availability.',
-            AIErrorType.MODEL_NOT_FOUND,
-            status,
-            error
-          );
-        
-        case 429:
-          return new AIProviderError(
-            'Rate limit exceeded. Please reduce your request frequency and try again later.',
-            AIErrorType.RATE_LIMIT,
-            status,
-            error
-          );
-        
-        case 500:
-        case 502:
-        case 503:
-        case 504:
-          return new AIProviderError(
-            'Service temporarily unavailable. Please try again in a few moments.',
-            AIErrorType.NETWORK,
-            status,
-            error
-          );
-      }
+    const providerError = this.mapProviderError(error);
+    if (providerError) {
+      return providerError;
+    }
+
+    const status = (error as any).status || (error as any).statusCode;
+    const message = error.message || 'Unknown error occurred';
+    const overrides = this.providerErrorMessages();
+
+    const statusTypeMap: Record<number, AIErrorType> = {
+      400: AIErrorType.INVALID_REQUEST,
+      401: AIErrorType.AUTHENTICATION,
+      403: AIErrorType.AUTHENTICATION,
+      404: AIErrorType.MODEL_NOT_FOUND,
+      429: AIErrorType.RATE_LIMIT,
+      500: AIErrorType.NETWORK,
+      502: AIErrorType.NETWORK,
+      503: AIErrorType.NETWORK,
+      504: AIErrorType.NETWORK
+    };
+
+    const defaultMessages: Record<number, string> = {
+      400: `Bad request: ${message}`,
+      401: 'Authentication failed. Please verify your API key is correct and has the necessary permissions.',
+      403: 'Authentication failed. Please verify your API key is correct and has the necessary permissions.',
+      404: 'The specified model or endpoint was not found. Please check the model name and availability.',
+      429: 'Rate limit exceeded. Please reduce your request frequency and try again later.',
+      500: 'Service temporarily unavailable. Please try again in a few moments.',
+      502: 'Service temporarily unavailable. Please try again in a few moments.',
+      503: 'Service temporarily unavailable. Please try again in a few moments.',
+      504: 'Service temporarily unavailable. Please try again in a few moments.'
+    };
+
+    if (status && statusTypeMap[status]) {
+      return new AIProviderError(
+        overrides[status] ?? defaultMessages[status]!,
+        statusTypeMap[status]!,
+        status,
+        error
+      );
    }

-    // Map common error patterns
    if (message.includes('timeout') || message.includes('ETIMEDOUT')) {
      return new AIProviderError(
        'Request timed out. The operation took longer than expected.',
@@ -664,9 +705,8 @@ export abstract class BaseAIProvider {
      );
    }

-    // Default to unknown error type
    return new AIProviderError(
-      `Provider error: ${message}`,
+      `${this.providerName} error: ${message}`,
      AIErrorType.UNKNOWN,
      status,
      error
--- a/src/providers/claude-code.ts
+++ b/src/providers/claude-code.ts
@@ -0,0 +1,403 @@
+/**
+ * Claude Code Provider
+ *
+ * Wraps `@anthropic-ai/claude-agent-sdk` so consumers can use a local
+ * Claude Code installation — including Claude Pro/Max subscription
+ * accounts authenticated via `claude login` — through the same
+ * BaseAIProvider interface as the other providers.
+ *
+ * Tradeoffs vs the direct Anthropic API provider:
+ * - Authenticates via the local CLI, so subscription users (no API key)
+ *   can use it.
+ * - Requires `claude` to be installed and logged in on the host.
+ * - Higher latency (shells out to a CLI process per request).
+ * - Designed for agent workflows, but used here in single-turn mode
+ *   (maxTurns: 1, no tools) for plain text completion.
+ *
+ * @see https://docs.anthropic.com/claude/docs/claude-code-sdk
+ */
+
+import { query } from '@anthropic-ai/claude-agent-sdk';
+import type {
+  AIMessage,
+  AIProviderConfig,
+  CompletionChunk,
+  CompletionParams,
+  CompletionResponse,
+  ProviderInfo
+} from '../types/index.js';
+import { BaseAIProvider } from './base.js';
+import { AIProviderError, AIErrorType } from '../types/index.js';
+import { DEFAULT_MODELS } from '../constants.js';
+
+/**
+ * Configuration for the Claude Code provider.
+ *
+ * Authentication options, in priority order:
+ *
+ *  1. `oauthToken` — long-lived subscription token generated by
+ *     `claude setup-token` (recommended for Pro/Max subscribers using
+ *     the SDK programmatically). Billed against the subscription.
+ *  2. `apiKey` — standard Anthropic console API key. Billed per-token.
+ *  3. Environment fallback — the SDK reads `CLAUDE_CODE_OAUTH_TOKEN` or
+ *     `ANTHROPIC_API_KEY` from the environment if neither field is set.
+ *
+ * Note: `claude login` alone is not sufficient for SDK use because
+ * Anthropic gates non-interactive (`claude -p`) invocations behind a
+ * separate token. Run `claude setup-token` once to mint one.
+ */
+export interface ClaudeCodeConfig extends Omit<AIProviderConfig, 'apiKey'> {
+  /**
+   * Long-lived OAuth token from `claude setup-token`. This is the
+   * supported path for Claude Pro/Max subscribers to use the SDK
+   * programmatically — billed against the subscription instead of
+   * per-token.
+   */
+  oauthToken?: string;
+
+  /** Standard Anthropic console API key. Mutually compatible with oauthToken (oauthToken takes precedence). */
+  apiKey?: string;
+
+  /**
+   * Default model. Accepts SDK aliases (`'sonnet'`, `'opus'`, `'haiku'`,
+   * `'inherit'`) or any full Claude model ID.
+   * @default 'sonnet'
+   */
+  defaultModel?: string;
+
+  /**
+   * Working directory for the Claude Code session.
+   * @default process.cwd()
+   */
+  cwd?: string;
+
+  /**
+   * Tool names the model is allowed to call. Defaults to none, which
+   * makes the provider behave as a pure text completion endpoint.
+   */
+  allowedTools?: string[];
+
+  /**
+   * Maximum agent turns. Defaults to 1 for plain completion; raise this
+   * if you also pass `allowedTools` and want tool-use loops.
+   * @default 1
+   */
+  maxTurns?: number;
+}
+
+export class ClaudeCodeProvider extends BaseAIProvider {
+  private readonly defaultModel: string;
+  private readonly cwd: string | undefined;
+  private readonly allowedTools: string[];
+  private readonly maxTurns: number;
+  private readonly oauthToken: string | undefined;
+
+  constructor(config: ClaudeCodeConfig) {
+    super(config as AIProviderConfig);
+
+    this.defaultModel = config.defaultModel || DEFAULT_MODELS['claude-code'];
+    this.cwd = config.cwd;
+    this.allowedTools = config.allowedTools ?? [];
+    this.maxTurns = config.maxTurns ?? 1;
+    this.oauthToken = config.oauthToken;
+  }
+
+  /**
+   * apiKey is optional for this provider — the SDK reads
+   * ANTHROPIC_API_KEY from the environment or falls back to the local
+   * Claude Code credentials. We override the base validator to skip the
+   * non-empty apiKey requirement.
+   */
+  protected override validateAndNormalizeConfig(config: AIProviderConfig): AIProviderConfig {
+    if (!config) {
+      throw new AIProviderError(
+        'Configuration object is required',
+        AIErrorType.INVALID_REQUEST
+      );
+    }
+
+    if (config.apiKey !== undefined && typeof config.apiKey !== 'string') {
+      throw new AIProviderError(
+        'API key, when provided, must be a string',
+        AIErrorType.INVALID_REQUEST
+      );
+    }
+
+    const oauthToken = (config as ClaudeCodeConfig).oauthToken;
+    if (oauthToken !== undefined && typeof oauthToken !== 'string') {
+      throw new AIProviderError(
+        'oauthToken, when provided, must be a string',
+        AIErrorType.INVALID_REQUEST
+      );
+    }
+
+    return {
+      ...config,
+      apiKey: config.apiKey ?? '',
+      timeout: config.timeout,
+      maxRetries: config.maxRetries
+    };
+  }
+
+  protected async doInitialize(): Promise<void> {
+    // The SDK lazy-spawns the CLI per query; no connection probe is
+    // necessary (and a probe would cost a real billed turn). We defer
+    // auth/model errors to the first complete()/stream() call.
+    if (this.oauthToken) {
+      process.env.CLAUDE_CODE_OAUTH_TOKEN = this.oauthToken;
+    }
+    if (this.config.apiKey) {
+      process.env.ANTHROPIC_API_KEY = this.config.apiKey;
+    }
+  }
+
+  protected async doComplete(params: CompletionParams): Promise<CompletionResponse<string>> {
+    const { systemPrompt, prompt } = this.buildPrompt(params.messages);
+    const model = params.model || this.defaultModel;
+
+    let collectedText = '';
+    let sessionId = '';
+    let usage = { promptTokens: 0, completionTokens: 0, totalTokens: 0 };
+
+    for await (const message of query({
+      prompt,
+      options: this.buildOptions(model, systemPrompt)
+    })) {
+      if (message.type === 'system' && message.subtype === 'init') {
+        sessionId = message.session_id;
+        continue;
+      }
+
+      if (message.type === 'assistant') {
+        if (message.error) {
+          throw this.errorForSdkAssistantError(message.error);
+        }
+        collectedText += extractText(message.message.content);
+        continue;
+      }
+
+      if (message.type === 'result') {
+        usage = {
+          promptTokens: message.usage?.input_tokens ?? 0,
+          completionTokens: message.usage?.output_tokens ?? 0,
+          totalTokens: (message.usage?.input_tokens ?? 0) + (message.usage?.output_tokens ?? 0)
+        };
+
+        if (message.subtype !== 'success') {
+          throw new AIProviderError(
+            `Claude Code session ended without a successful result: ${message.subtype}`,
+            AIErrorType.UNKNOWN
+          );
+        }
+
+        return {
+          content: collectedText || message.result,
+          model,
+          usage,
+          id: sessionId || message.uuid,
+          metadata: {
+            costUsd: message.total_cost_usd,
+            durationMs: message.duration_ms,
+            numTurns: message.num_turns,
+            stopReason: message.stop_reason
+          }
+        };
+      }
+    }
+
+    throw new AIProviderError(
+      'Claude Code stream ended without a result message',
+      AIErrorType.UNKNOWN
+    );
+  }
+
+  protected async *doStream<T = any>(
+    params: CompletionParams<T>
+  ): AsyncIterable<CompletionChunk> {
+    const { systemPrompt, prompt } = this.buildPrompt(params.messages);
+    const model = params.model || this.defaultModel;
+
+    let sessionId = '';
+    let yieldedText = '';
+
+    for await (const message of query({
+      prompt,
+      options: this.buildOptions(model, systemPrompt)
+    })) {
+      if (message.type === 'system' && message.subtype === 'init') {
+        sessionId = message.session_id;
+        continue;
+      }
+
+      if (message.type === 'assistant') {
+        if (message.error) {
+          throw this.errorForSdkAssistantError(message.error);
+        }
+        const fullText = extractText(message.message.content);
+        const delta = fullText.slice(yieldedText.length);
+        if (delta) {
+          yield { content: delta, isComplete: false, id: sessionId };
+          yieldedText = fullText;
+        }
+        continue;
+      }
+
+      if (message.type === 'result') {
+        const usage = {
+          promptTokens: message.usage?.input_tokens ?? 0,
+          completionTokens: message.usage?.output_tokens ?? 0,
+          totalTokens: (message.usage?.input_tokens ?? 0) + (message.usage?.output_tokens ?? 0)
+        };
+
+        if (message.subtype !== 'success') {
+          throw new AIProviderError(
+            `Claude Code session ended without a successful result: ${message.subtype}`,
+            AIErrorType.UNKNOWN
+          );
+        }
+
+        yield { content: '', isComplete: true, id: sessionId, usage };
+        return;
+      }
+    }
+  }
+
+  public getInfo(): ProviderInfo {
+    return {
+      name: 'Claude Code',
+      version: '1.0.0',
+      models: ['sonnet', 'opus', 'haiku', 'inherit'],
+      maxContextLength: 200000,
+      supportsStreaming: true,
+      capabilities: {
+        vision: true,
+        functionCalling: true,
+        systemMessages: true,
+        reasoning: true,
+        codeGeneration: true,
+        subscriptionAuth: true,
+        requiresLocalCli: true
+      }
+    };
+  }
+
+  protected override mapProviderError(error: any): AIProviderError | null {
+    if (!error) return null;
+    const message: string = error.message || '';
+
+    if (message.includes('ENOENT') && message.toLowerCase().includes('claude')) {
+      return new AIProviderError(
+        'Claude Code CLI not found. Install it from https://docs.anthropic.com/claude/docs/claude-code and run `claude login` for subscription accounts.',
+        AIErrorType.INVALID_REQUEST,
+        undefined,
+        error
+      );
+    }
+
+    if (message.includes('not logged in') || message.includes('authentication')) {
+      return new AIProviderError(
+        'Claude Code is not authenticated. Run `claude login` or set ANTHROPIC_API_KEY in the environment.',
+        AIErrorType.AUTHENTICATION,
+        undefined,
+        error
+      );
+    }
+
+    return null;
+  }
+
+  private buildPrompt(messages: AIMessage[]): { systemPrompt: string | undefined; prompt: string } {
+    let systemPrompt: string | undefined;
+    const turns: AIMessage[] = [];
+
+    for (const msg of messages) {
+      if (msg.role === 'system') {
+        systemPrompt = systemPrompt ? `${systemPrompt}\n\n${msg.content}` : msg.content;
+      } else {
+        turns.push(msg);
+      }
+    }
+
+    if (turns.length === 0) {
+      throw new AIProviderError(
+        'At least one user or assistant message is required',
+        AIErrorType.INVALID_REQUEST
+      );
+    }
+
+    // Single user turn: pass the content directly. Multi-turn history is
+    // flattened with role labels — the Agent SDK doesn't accept a
+    // messages array in stateless mode, so this is the simplest faithful
+    // representation of the conversation.
+    if (turns.length === 1 && turns[0]!.role === 'user') {
+      return { systemPrompt, prompt: turns[0]!.content };
+    }
+
+    const flattened = turns
+      .map(t => `${t.role === 'assistant' ? 'Assistant' : 'Human'}: ${t.content}`)
+      .join('\n\n');
+    return { systemPrompt, prompt: `${flattened}\n\nAssistant:` };
+  }
+
+  private buildOptions(model: string, systemPrompt: string | undefined) {
+    const options: Record<string, unknown> = {
+      model,
+      maxTurns: this.maxTurns,
+      allowedTools: this.allowedTools
+    };
+    if (systemPrompt) options.systemPrompt = systemPrompt;
+    if (this.cwd) options.cwd = this.cwd;
+    return options as any;
+  }
+
+  private errorForSdkAssistantError(code: string): AIProviderError {
+    const map: Record<string, { type: AIErrorType; message: string }> = {
+      authentication_failed: {
+        type: AIErrorType.AUTHENTICATION,
+        message: 'Claude Code authentication failed. For subscriptions run `claude setup-token` and pass the result as `oauthToken`. Otherwise set ANTHROPIC_API_KEY or pass `apiKey`.'
+      },
+      oauth_org_not_allowed: {
+        type: AIErrorType.AUTHENTICATION,
+        message: 'Your organization is not allowed by the Claude Code OAuth policy.'
+      },
+      billing_error: {
+        type: AIErrorType.AUTHENTICATION,
+        message: 'Billing error. For Claude Pro/Max subscribers using the SDK: run `claude setup-token` and pass the resulting token as `oauthToken` (interactive `claude login` alone is not sufficient for non-interactive SDK calls).'
+      },
+      rate_limit: {
+        type: AIErrorType.RATE_LIMIT,
+        message: 'Rate limit exceeded.'
+      },
+      invalid_request: {
+        type: AIErrorType.INVALID_REQUEST,
+        message: 'Invalid request to Claude Code.'
+      },
+      model_not_found: {
+        type: AIErrorType.MODEL_NOT_FOUND,
+        message: 'Requested model is not available to this Claude Code installation.'
+      },
+      server_error: {
+        type: AIErrorType.NETWORK,
+        message: 'Claude Code server error. Try again shortly.'
+      },
+      max_output_tokens: {
+        type: AIErrorType.INVALID_REQUEST,
+        message: 'Response exceeded the configured maxOutputTokens.'
+      }
+    };
+
+    const entry = map[code] ?? { type: AIErrorType.UNKNOWN, message: `Claude Code error: ${code}` };
+    return new AIProviderError(entry.message, entry.type);
+  }
+}
+
+function extractText(content: unknown): string {
+  if (!Array.isArray(content)) return '';
+  let out = '';
+  for (const block of content) {
+    if (block && typeof block === 'object' && (block as any).type === 'text') {
+      out += (block as any).text ?? '';
+    }
+  }
+  return out;
+}
--- a/src/providers/claude.ts
+++ b/src/providers/claude.ts
@@ -34,6 +34,13 @@ import type {
 } from '../types/index.js';
 import { BaseAIProvider } from './base.js';
 import { AIProviderError, AIErrorType } from '../types/index.js';
+import {
+  DEFAULT_ANTHROPIC_VERSION,
+  DEFAULT_MAX_TOKENS,
+  DEFAULT_MODELS,
+  DEFAULT_TEMPERATURE,
+  VALIDATION_PROMPT
+} from '../constants.js';

 // ============================================================================
 // TYPES AND INTERFACES
@@ -153,9 +160,8 @@ export class ClaudeProvider extends BaseAIProvider {
  constructor(config: ClaudeConfig) {
    super(config);
    
-    // Set Claude-specific defaults
-    this.defaultModel = config.defaultModel || 'claude-3-5-sonnet-20241022';
-    this.version = config.version || '2023-06-01';
+    this.defaultModel = config.defaultModel || DEFAULT_MODELS.claude;
+    this.version = config.version || DEFAULT_ANTHROPIC_VERSION;
    
    // Validate model name format
    this.validateModelName(this.defaultModel);
@@ -178,7 +184,6 @@ export class ClaudeProvider extends BaseAIProvider {
   */
  protected async doInitialize(): Promise<void> {
    try {
-      // Create Anthropic client with optimized configuration
      this.client = new Anthropic({
        apiKey: this.config.apiKey,
        baseURL: this.config.baseUrl,
@@ -186,17 +191,14 @@ export class ClaudeProvider extends BaseAIProvider {
        maxRetries: this.config.maxRetries,
        defaultHeaders: {
          'anthropic-version': this.version,
-          'anthropic-beta': 'max-tokens-3-5-sonnet-2024-07-15', // Enable extended context
+          'anthropic-beta': 'max-tokens-3-5-sonnet-2024-07-15',
        }
      });

-      // Validate connection and permissions
      await this.validateConnection();
-      
    } catch (error) {
-      // Clean up on failure
      this.client = null;
-      
+
      throw new AIProviderError(
        `Failed to initialize Claude provider: ${(error as Error).message}`,
        AIErrorType.AUTHENTICATION,
@@ -225,22 +227,10 @@ export class ClaudeProvider extends BaseAIProvider {
      throw new AIProviderError('Claude client not initialized', AIErrorType.INVALID_REQUEST);
    }

-    try {
-      // Process messages for Claude's format requirements
-      const { system, messages } = this.processMessages(params.messages);
-      
-      // Build optimized request parameters
-      const requestParams = this.buildRequestParams(params, system, messages, false);
-      
-      // Make API request
-      const response = await this.client.messages.create(requestParams);
-
-      // Format and return response
-      return this.formatCompletionResponse(response);
-      
-    } catch (error) {
-      throw this.handleAnthropicError(error as Error);
-    }
+    const { system, messages } = this.processMessages(params.messages);
+    const requestParams = this.buildRequestParams(params, system, messages, false);
+    const response = await this.client.messages.create(requestParams);
+    return this.formatCompletionResponse(response);
  }

  /**
@@ -262,22 +252,10 @@ export class ClaudeProvider extends BaseAIProvider {
      throw new AIProviderError('Claude client not initialized', AIErrorType.INVALID_REQUEST);
    }

-    try {
-      // Process messages for Claude's format requirements
-      const { system, messages } = this.processMessages(params.messages);
-      
-      // Build streaming request parameters
-      const requestParams = this.buildRequestParams(params, system, messages, true);
-      
-      // Create streaming request
-      const stream = await this.client.messages.create(requestParams);
-
-      // Process stream chunks
-      yield* this.processStreamChunks(stream);
-      
-    } catch (error) {
-      throw this.handleAnthropicError(error as Error);
-    }
+    const { system, messages } = this.processMessages(params.messages);
+    const requestParams = this.buildRequestParams(params, system, messages, true);
+    const stream = await this.client.messages.create(requestParams);
+    yield* this.processStreamChunks(stream);
  }

  // ========================================================================
@@ -317,76 +295,62 @@ export class ClaudeProvider extends BaseAIProvider {
  // PRIVATE UTILITY METHODS
  // ========================================================================

-  /**
-   * Validates the connection by making a minimal test request.
-   * 
-   * @private
-   * @throws {AIProviderError} If connection validation fails
-   */
-  private async validateConnection(): Promise<void> {
+  protected override getModelNamePatterns(): RegExp[] {
+    return [
+      /^claude-3(?:-5)?-(?:opus|sonnet|haiku)-\d{8}$/,
+      /^claude-instant-[0-9.]+$/,
+      /^claude-[0-9.]+$/
+    ];
+  }
+
+  protected override async sendValidationProbe(): Promise<void> {
    if (!this.client) {
      throw new Error('Client not initialized');
    }
-
-    try {
-      // Make minimal request to test connection and permissions
-      await this.client.messages.create({
-        model: this.defaultModel,
-        max_tokens: 1,
-        messages: [{ role: 'user', content: 'Hi' }]
-      });
-      
-    } catch (error: any) {
-      // Handle specific validation errors
-      if (error.status === 401 || error.status === 403) {
-        throw new AIProviderError(
-          'Invalid Anthropic API key. Please verify your API key from https://console.anthropic.com/',
-          AIErrorType.AUTHENTICATION,
-          error.status
-        );
-      }
-      
-      if (error.status === 404 && error.message?.includes('model')) {
-        throw new AIProviderError(
-          `Model '${this.defaultModel}' is not available. Please check the model name or your API access.`,
-          AIErrorType.MODEL_NOT_FOUND,
-          error.status
-        );
-      }
-      
-      // For other errors during validation, log but don't fail initialization
-      // They might be temporary network issues
-      console.warn('Claude connection validation warning:', error.message);
-    }
+    await this.client.messages.create({
+      model: this.defaultModel,
+      max_tokens: 1,
+      messages: [{ role: 'user', content: VALIDATION_PROMPT }]
+    });
  }

-  /**
-   * Validates model name format for Claude models.
-   * 
-   * @private
-   * @param modelName - Model name to validate
-   * @throws {AIProviderError} If model name format is invalid
-   */
-  private validateModelName(modelName: string): void {
-    if (!modelName || typeof modelName !== 'string') {
-      throw new AIProviderError(
-        'Model name must be a non-empty string',
-        AIErrorType.INVALID_REQUEST
-      );
+  protected override providerErrorMessages(): Partial<Record<number, string>> {
+    return {
+      401: 'Authentication failed. Please check your Anthropic API key from https://console.anthropic.com/',
+      403: 'Access forbidden. Your API key may not have permission for this model or feature.',
+      404: 'Model not found. The specified Claude model may not be available to your account.',
+      429: 'Rate limit exceeded. Claude APIs have usage limits. Please wait before retrying.',
+      500: 'Anthropic service temporarily unavailable. Please try again in a few moments.',
+      502: 'Anthropic service temporarily unavailable. Please try again in a few moments.',
+      503: 'Anthropic service temporarily unavailable. Please try again in a few moments.'
+    };
+  }
+
+  protected override mapProviderError(error: any): AIProviderError | null {
+    if (!error) return null;
+    const message: string = error.message || '';
+    const status = error.status || error.statusCode;
+
+    if (status === 400) {
+      if (message.includes('max_tokens')) {
+        return new AIProviderError(
+          'Max tokens value is invalid. Must be between 1 and model limit.',
+          AIErrorType.INVALID_REQUEST,
+          status,
+          error
+        );
+      }
+      if (message.includes('model')) {
+        return new AIProviderError(
+          'Invalid model specified. Please check model availability.',
+          AIErrorType.MODEL_NOT_FOUND,
+          status,
+          error
+        );
+      }
    }

-    // Claude model names follow specific patterns
-    const validPatterns = [
-      /^claude-3(?:-5)?-(?:opus|sonnet|haiku)-\d{8}$/,  // e.g., claude-3-5-sonnet-20241022
-      /^claude-instant-[0-9.]+$/,                       // e.g., claude-instant-1.2
-      /^claude-[0-9.]+$/                                // e.g., claude-2.1
-    ];
-
-    const isValid = validPatterns.some(pattern => pattern.test(modelName));
-    
-    if (!isValid) {
-      console.warn(`Model name '${modelName}' doesn't match expected Claude naming patterns. This may cause API errors.`);
-    }
+    return null;
  }

  /**
@@ -449,8 +413,8 @@ export class ClaudeProvider extends BaseAIProvider {
  ) {
    return {
      model: params.model || this.defaultModel,
-      max_tokens: params.maxTokens || 1000,
-      temperature: params.temperature ?? 0.7,
+      max_tokens: params.maxTokens || DEFAULT_MAX_TOKENS,
+      temperature: params.temperature ?? DEFAULT_TEMPERATURE,
      top_p: params.topP,
      stop_sequences: params.stopSequences,
      system: system || undefined,
@@ -564,118 +528,4 @@ export class ClaudeProvider extends BaseAIProvider {
    };
  }

-  /**
-   * Handles and transforms Anthropic-specific errors.
-   * 
-   * This method maps Anthropic's error responses to our standardized
-   * error format, providing helpful context and suggestions.
-   * 
-   * @private
-   * @param error - Original error from Anthropic API
-   * @returns Normalized AIProviderError
-   */
-  private handleAnthropicError(error: any): AIProviderError {
-    if (error instanceof AIProviderError) {
-      return error;
-    }
-
-    const message = error.message || 'Unknown Anthropic API error';
-    const status = error.status || error.statusCode;
-
-    // Map Anthropic-specific error codes
-    switch (status) {
-      case 400:
-        if (message.includes('max_tokens')) {
-          return new AIProviderError(
-            'Max tokens value is invalid. Must be between 1 and model limit.',
-            AIErrorType.INVALID_REQUEST,
-            status,
-            error
-          );
-        }
-        if (message.includes('model')) {
-          return new AIProviderError(
-            'Invalid model specified. Please check model availability.',
-            AIErrorType.MODEL_NOT_FOUND,
-            status,
-            error
-          );
-        }
-        return new AIProviderError(
-          `Invalid request: ${message}`,
-          AIErrorType.INVALID_REQUEST,
-          status,
-          error
-        );
-
-      case 401:
-        return new AIProviderError(
-          'Authentication failed. Please check your Anthropic API key from https://console.anthropic.com/',
-          AIErrorType.AUTHENTICATION,
-          status,
-          error
-        );
-
-      case 403:
-        return new AIProviderError(
-          'Access forbidden. Your API key may not have permission for this model or feature.',
-          AIErrorType.AUTHENTICATION,
-          status,
-          error
-        );
-
-      case 404:
-        return new AIProviderError(
-          'Model not found. The specified Claude model may not be available to your account.',
-          AIErrorType.MODEL_NOT_FOUND,
-          status,
-          error
-        );
-
-      case 429:
-        return new AIProviderError(
-          'Rate limit exceeded. Claude APIs have usage limits. Please wait before retrying.',
-          AIErrorType.RATE_LIMIT,
-          status,
-          error
-        );
-
-      case 500:
-      case 502:
-      case 503:
-        return new AIProviderError(
-          'Anthropic service temporarily unavailable. Please try again in a few moments.',
-          AIErrorType.NETWORK,
-          status,
-          error
-        );
-
-      default:
-        // Handle timeout and network errors
-        if (message.includes('timeout') || error.code === 'ETIMEDOUT') {
-          return new AIProviderError(
-            'Request timed out. Claude may be experiencing high load.',
-            AIErrorType.TIMEOUT,
-            status,
-            error
-          );
-        }
-
-        if (message.includes('network') || error.code === 'ECONNREFUSED') {
-          return new AIProviderError(
-            'Network error connecting to Anthropic servers.',
-            AIErrorType.NETWORK,
-            status,
-            error
-          );
-        }
-
-        return new AIProviderError(
-          `Claude API error: ${message}`,
-          AIErrorType.UNKNOWN,
-          status,
-          error
-        );
-    }
-  }
-} 
+}
--- a/src/providers/gemini.ts
+++ b/src/providers/gemini.ts
@@ -31,6 +31,12 @@ import type {
 } from '../types/index.js';
 import { BaseAIProvider } from './base.js';
 import { AIProviderError, AIErrorType } from '../types/index.js';
+import {
+  DEFAULT_MAX_TOKENS,
+  DEFAULT_MODELS,
+  DEFAULT_TEMPERATURE,
+  VALIDATION_PROMPT
+} from '../constants.js';

 // ============================================================================
 // TYPES AND INTERFACES
@@ -95,7 +101,7 @@ export class GeminiProvider extends BaseAIProvider {
  constructor(config: GeminiConfig) {
    super(config);

-    this.defaultModel = config.defaultModel || 'gemini-2.5-flash';
+    this.defaultModel = config.defaultModel || DEFAULT_MODELS.gemini;
    this.safetySettings = config.safetySettings;
    this.defaultGenerationConfig = config.generationConfig;

@@ -128,20 +134,16 @@ export class GeminiProvider extends BaseAIProvider {
      throw new AIProviderError('Gemini client not initialized', AIErrorType.INVALID_REQUEST);
    }

-    try {
-      const { systemInstruction, contents } = this.convertMessages(params.messages);
-      const model = params.model || this.defaultModel;
+    const { systemInstruction, contents } = this.convertMessages(params.messages);
+    const model = params.model || this.defaultModel;

-      const response = await this.client.models.generateContent({
-        model,
-        contents,
-        config: this.buildConfig(params, systemInstruction)
-      });
+    const response = await this.client.models.generateContent({
+      model,
+      contents,
+      config: this.buildConfig(params, systemInstruction)
+    });

-      return this.formatCompletionResponse(response, model);
-    } catch (error) {
-      throw this.handleGeminiError(error as Error);
-    }
+    return this.formatCompletionResponse(response, model);
  }

  protected async *doStream<T = any>(params: CompletionParams<T>): AsyncIterable<CompletionChunk> {
@@ -149,20 +151,16 @@ export class GeminiProvider extends BaseAIProvider {
      throw new AIProviderError('Gemini client not initialized', AIErrorType.INVALID_REQUEST);
    }

-    try {
-      const { systemInstruction, contents } = this.convertMessages(params.messages);
-      const model = params.model || this.defaultModel;
+    const { systemInstruction, contents } = this.convertMessages(params.messages);
+    const model = params.model || this.defaultModel;

-      const stream = await this.client.models.generateContentStream({
-        model,
-        contents,
-        config: this.buildConfig(params, systemInstruction)
-      });
+    const stream = await this.client.models.generateContentStream({
+      model,
+      contents,
+      config: this.buildConfig(params, systemInstruction)
+    });

-      yield* this.processStreamChunks(stream);
-    } catch (error) {
-      throw this.handleGeminiError(error as Error);
-    }
+    yield* this.processStreamChunks(stream);
  }

  // ========================================================================
@@ -199,55 +197,8 @@ export class GeminiProvider extends BaseAIProvider {
  // PRIVATE UTILITY METHODS
  // ========================================================================

-  private async validateConnection(): Promise<void> {
-    if (!this.client) {
-      throw new Error('Client not initialized');
-    }
-
-    try {
-      await this.client.models.generateContent({
-        model: this.defaultModel,
-        contents: [{ role: 'user', parts: [{ text: 'Hi' }] }],
-        config: { maxOutputTokens: 1 }
-      });
-    } catch (error: any) {
-      if (error.message?.includes('API key')) {
-        throw new AIProviderError(
-          'Invalid Google API key. Please verify your API key from https://aistudio.google.com/app/apikey',
-          AIErrorType.AUTHENTICATION,
-          error.status
-        );
-      }
-
-      if (error.message?.includes('quota') || error.message?.includes('billing')) {
-        throw new AIProviderError(
-          'API quota exceeded or billing issue. Please check your Google Cloud billing and API quotas.',
-          AIErrorType.AUTHENTICATION,
-          error.status
-        );
-      }
-
-      if (error.message?.includes('model')) {
-        throw new AIProviderError(
-          `Model '${this.defaultModel}' is not available. Please check the model name or your API access level.`,
-          AIErrorType.MODEL_NOT_FOUND,
-          error.status
-        );
-      }
-
-      console.warn('Gemini connection validation warning:', error.message);
-    }
-  }
-
-  private validateModelName(modelName: string): void {
-    if (!modelName || typeof modelName !== 'string') {
-      throw new AIProviderError(
-        'Model name must be a non-empty string',
-        AIErrorType.INVALID_REQUEST
-      );
-    }
-
-    const validPatterns = [
+  protected override getModelNamePatterns(): RegExp[] {
+    return [
      /^gemini-2\.5-(?:pro|flash)(?:-lite)?(?:-\d{4}-\d{2}-\d{2})?$/,
      /^gemini-2\.0-(?:pro|flash)(?:-lite)?(?:-\d{4}-\d{2}-\d{2})?$/,
      /^gemini-1\.5-pro(?:-latest|-vision)?$/,
@@ -256,12 +207,72 @@ export class GeminiProvider extends BaseAIProvider {
      /^gemini-pro(?:-vision)?$/,
      /^models\/gemini-.+$/
    ];
+  }

-    const isValid = validPatterns.some(pattern => pattern.test(modelName));
-
-    if (!isValid) {
-      console.warn(`Model name '${modelName}' doesn't match expected Gemini naming patterns. This may cause API errors.`);
+  protected override async sendValidationProbe(): Promise<void> {
+    if (!this.client) {
+      throw new Error('Client not initialized');
    }
+    await this.client.models.generateContent({
+      model: this.defaultModel,
+      contents: [{ role: 'user', parts: [{ text: VALIDATION_PROMPT }] }],
+      config: { maxOutputTokens: 1 }
+    });
+  }
+
+  protected override providerErrorMessages(): Partial<Record<number, string>> {
+    return {
+      401: 'Authentication failed with Gemini API. Please check your API key and permissions.',
+      403: 'Authentication failed with Gemini API. Please check your API key and permissions.',
+      404: 'Gemini API endpoint not found. Please check the model name and API version.',
+      429: 'Rate limit exceeded. Please reduce request frequency.',
+      500: 'Gemini service temporarily unavailable. Please try again in a few moments.',
+      502: 'Gemini service temporarily unavailable. Please try again in a few moments.',
+      503: 'Gemini service temporarily unavailable. Please try again in a few moments.'
+    };
+  }
+
+  protected override mapProviderError(error: any): AIProviderError | null {
+    if (!error) return null;
+    const message: string = error.message || '';
+    const status = error.status || error.statusCode;
+
+    if (message.includes('API key')) {
+      return new AIProviderError(
+        'Invalid Google API key. Please verify your API key from https://aistudio.google.com/app/apikey',
+        AIErrorType.AUTHENTICATION, status, error
+      );
+    }
+
+    if (message.includes('quota') || message.includes('limit exceeded')) {
+      return new AIProviderError(
+        'API quota exceeded. Please check your Google Cloud quotas and billing.',
+        AIErrorType.RATE_LIMIT, status, error
+      );
+    }
+
+    if (message.includes('model not found') || message.includes('invalid model')) {
+      return new AIProviderError(
+        'Model not found. The specified Gemini model may not exist or be available to your API key.',
+        AIErrorType.MODEL_NOT_FOUND, status, error
+      );
+    }
+
+    if (message.includes('safety') || message.includes('blocked')) {
+      return new AIProviderError(
+        'Content blocked by safety filters. Please modify your input or adjust safety settings.',
+        AIErrorType.INVALID_REQUEST, status, error
+      );
+    }
+
+    if (message.includes('length') || message.includes('token')) {
+      return new AIProviderError(
+        'Input too long or exceeds token limits. Please reduce input size or max tokens.',
+        AIErrorType.INVALID_REQUEST, status, error
+      );
+    }
+
+    return null;
  }

  private convertMessages(messages: AIMessage[]): ProcessedMessages {
@@ -291,8 +302,8 @@ export class GeminiProvider extends BaseAIProvider {
    const defaults = this.defaultGenerationConfig;

    const config: GenerateContentConfig = {
-      temperature: params.temperature ?? defaults?.temperature ?? 0.7,
-      maxOutputTokens: params.maxTokens ?? defaults?.maxOutputTokens ?? 1000
+      temperature: params.temperature ?? defaults?.temperature ?? DEFAULT_TEMPERATURE,
+      maxOutputTokens: params.maxTokens ?? defaults?.maxOutputTokens ?? DEFAULT_MAX_TOKENS
    };

    const topP = params.topP ?? defaults?.topP;
@@ -383,128 +394,4 @@ export class GeminiProvider extends BaseAIProvider {
    };
  }

-  private handleGeminiError(error: any): AIProviderError {
-    if (error instanceof AIProviderError) {
-      return error;
-    }
-
-    const message = error.message || 'Unknown Gemini API error';
-    const status = error.status || error.statusCode;
-
-    if (message.includes('API key')) {
-      return new AIProviderError(
-        'Invalid Google API key. Please verify your API key from https://aistudio.google.com/app/apikey',
-        AIErrorType.AUTHENTICATION,
-        status,
-        error
-      );
-    }
-
-    if (message.includes('quota') || message.includes('limit exceeded')) {
-      return new AIProviderError(
-        'API quota exceeded. Please check your Google Cloud quotas and billing.',
-        AIErrorType.RATE_LIMIT,
-        status,
-        error
-      );
-    }
-
-    if (message.includes('model not found') || message.includes('invalid model')) {
-      return new AIProviderError(
-        'Model not found. The specified Gemini model may not exist or be available to your API key.',
-        AIErrorType.MODEL_NOT_FOUND,
-        status,
-        error
-      );
-    }
-
-    if (message.includes('safety') || message.includes('blocked')) {
-      return new AIProviderError(
-        'Content blocked by safety filters. Please modify your input or adjust safety settings.',
-        AIErrorType.INVALID_REQUEST,
-        status,
-        error
-      );
-    }
-
-    if (message.includes('length') || message.includes('token')) {
-      return new AIProviderError(
-        'Input too long or exceeds token limits. Please reduce input size or max tokens.',
-        AIErrorType.INVALID_REQUEST,
-        status,
-        error
-      );
-    }
-
-    if (message.includes('timeout')) {
-      return new AIProviderError(
-        'Request timed out. Gemini may be experiencing high load.',
-        AIErrorType.TIMEOUT,
-        status,
-        error
-      );
-    }
-
-    if (message.includes('network') || message.includes('connection')) {
-      return new AIProviderError(
-        'Network error connecting to Gemini servers.',
-        AIErrorType.NETWORK,
-        status,
-        error
-      );
-    }
-
-    switch (status) {
-      case 400:
-        return new AIProviderError(
-          `Invalid request to Gemini API: ${message}`,
-          AIErrorType.INVALID_REQUEST,
-          status,
-          error
-        );
-
-      case 401:
-      case 403:
-        return new AIProviderError(
-          'Authentication failed with Gemini API. Please check your API key and permissions.',
-          AIErrorType.AUTHENTICATION,
-          status,
-          error
-        );
-
-      case 404:
-        return new AIProviderError(
-          'Gemini API endpoint not found. Please check the model name and API version.',
-          AIErrorType.MODEL_NOT_FOUND,
-          status,
-          error
-        );
-
-      case 429:
-        return new AIProviderError(
-          'Rate limit exceeded. Please reduce request frequency.',
-          AIErrorType.RATE_LIMIT,
-          status,
-          error
-        );
-
-      case 500:
-      case 502:
-      case 503:
-        return new AIProviderError(
-          'Gemini service temporarily unavailable. Please try again in a few moments.',
-          AIErrorType.NETWORK,
-          status,
-          error
-        );
-
-      default:
-        return new AIProviderError(
-          `Gemini API error: ${message}`,
-          AIErrorType.UNKNOWN,
-          status,
-          error
-        );
-    }
-  }
 }
--- a/src/providers/index.ts
+++ b/src/providers/index.ts
@@ -7,4 +7,5 @@ export { BaseAIProvider } from './base.js';
 export { ClaudeProvider, type ClaudeConfig } from './claude.js';
 export { OpenAIProvider, type OpenAIConfig } from './openai.js';
 export { GeminiProvider, type GeminiConfig } from './gemini.js';
-export { OpenWebUIProvider, type OpenWebUIConfig } from './openwebui.js'; 
+export { OpenWebUIProvider, type OpenWebUIConfig } from './openwebui.js';
+export { ClaudeCodeProvider, type ClaudeCodeConfig } from './claude-code.js';
--- a/src/providers/openai.ts
+++ b/src/providers/openai.ts
@@ -35,6 +35,12 @@ import type {
 } from '../types/index.js';
 import { BaseAIProvider } from './base.js';
 import { AIProviderError, AIErrorType } from '../types/index.js';
+import {
+  DEFAULT_MAX_TOKENS,
+  DEFAULT_MODELS,
+  DEFAULT_TEMPERATURE,
+  VALIDATION_PROMPT
+} from '../constants.js';

 // ============================================================================
 // TYPES AND INTERFACES
@@ -173,7 +179,7 @@ export class OpenAIProvider extends BaseAIProvider {
    super(config);
    
    // Set OpenAI-specific defaults
-    this.defaultModel = config.defaultModel || 'gpt-4o';
+    this.defaultModel = config.defaultModel || DEFAULT_MODELS.openai;
    this.organization = config.organization;
    this.project = config.project;
    
@@ -249,19 +255,9 @@ export class OpenAIProvider extends BaseAIProvider {
      throw new AIProviderError('OpenAI client not initialized', AIErrorType.INVALID_REQUEST);
    }

-    try {
-      // Build optimized request parameters
-      const requestParams = this.buildRequestParams(params, false);
-      
-      // Make API request - explicitly type as ChatCompletion for non-streaming
-      const response = await this.client.chat.completions.create(requestParams) as OpenAI.Chat.Completions.ChatCompletion;
-
-      // Format and return response
-      return this.formatCompletionResponse(response);
-      
-    } catch (error) {
-      throw this.handleOpenAIError(error as Error);
-    }
+    const requestParams = this.buildRequestParams(params, false);
+    const response = await this.client.chat.completions.create(requestParams) as OpenAI.Chat.Completions.ChatCompletion;
+    return this.formatCompletionResponse(response);
  }

  /**
@@ -283,19 +279,9 @@ export class OpenAIProvider extends BaseAIProvider {
      throw new AIProviderError('OpenAI client not initialized', AIErrorType.INVALID_REQUEST);
    }

-    try {
-      // Build streaming request parameters
-      const requestParams = this.buildRequestParams(params, true);
-      
-      // Create streaming request
-      const stream = this.client.chat.completions.create(requestParams);
-
-      // Process stream chunks
-      yield* this.processStreamChunks(stream);
-      
-    } catch (error) {
-      throw this.handleOpenAIError(error as Error);
-    }
+    const requestParams = this.buildRequestParams(params, true);
+    const stream = this.client.chat.completions.create(requestParams);
+    yield* this.processStreamChunks(stream);
  }

  // ========================================================================
@@ -340,87 +326,82 @@ export class OpenAIProvider extends BaseAIProvider {
  // PRIVATE UTILITY METHODS
  // ========================================================================

-  /**
-   * Validates the connection by making a minimal test request.
-   * 
-   * @private
-   * @throws {AIProviderError} If connection validation fails
-   */
-  private async validateConnection(): Promise<void> {
+  protected override getModelNamePatterns(): RegExp[] {
+    return [
+      /^gpt-4o(?:-mini)?(?:-\d{4}-\d{2}-\d{2})?$/,
+      /^gpt-4(?:-turbo)?(?:-\d{4}-\d{2}-\d{2})?$/,
+      /^gpt-3\.5-turbo(?:-\d{4})?$/,
+      /^gpt-4-\d{4}-preview$/,
+      /^text-davinci-\d{3}$/,
+      /^ft:.+$/
+    ];
+  }
+
+  protected override async sendValidationProbe(): Promise<void> {
    if (!this.client) {
      throw new Error('Client not initialized');
    }
-
-    try {
-      // Make minimal request to test connection and permissions
-      await this.client.chat.completions.create({
-        model: this.defaultModel,
-        messages: [{ role: 'user', content: 'Hi' }],
-        max_tokens: 1
-      });
-      
-    } catch (error: any) {
-      // Handle specific validation errors
-      if (error.status === 401) {
-        throw new AIProviderError(
-          'Invalid OpenAI API key. Please verify your API key from https://platform.openai.com/api-keys',
-          AIErrorType.AUTHENTICATION,
-          error.status
-        );
-      }
-      
-      if (error.status === 403) {
-        throw new AIProviderError(
-          'Access forbidden. Your API key may not have permission for this model or your account may have insufficient credits.',
-          AIErrorType.AUTHENTICATION,
-          error.status
-        );
-      }
-      
-      if (error.status === 404 && error.message?.includes('model')) {
-        throw new AIProviderError(
-          `Model '${this.defaultModel}' is not available. Please check the model name or your API access level.`,
-          AIErrorType.MODEL_NOT_FOUND,
-          error.status
-        );
-      }
-      
-      // For other errors during validation, log but don't fail initialization
-      // They might be temporary network issues
-      console.warn('OpenAI connection validation warning:', error.message);
-    }
+    await this.client.chat.completions.create({
+      model: this.defaultModel,
+      messages: [{ role: 'user', content: VALIDATION_PROMPT }],
+      max_tokens: 1
+    });
  }

-  /**
-   * Validates model name format for OpenAI models.
-   * 
-   * @private
-   * @param modelName - Model name to validate
-   * @throws {AIProviderError} If model name format is invalid
-   */
-  private validateModelName(modelName: string): void {
-    if (!modelName || typeof modelName !== 'string') {
-      throw new AIProviderError(
-        'Model name must be a non-empty string',
-        AIErrorType.INVALID_REQUEST
+  protected override providerErrorMessages(): Partial<Record<number, string>> {
+    return {
+      401: 'Authentication failed. Please verify your OpenAI API key from https://platform.openai.com/api-keys',
+      403: 'Access forbidden. Your API key may not have permission for this model or feature.',
+      404: 'Model not found. The specified OpenAI model may not exist or be available to your account.',
+      429: 'Too many requests. Please slow down and try again.',
+      500: 'OpenAI service temporarily unavailable. Please try again in a few moments.',
+      502: 'OpenAI service temporarily unavailable. Please try again in a few moments.',
+      503: 'OpenAI service temporarily unavailable. Please try again in a few moments.',
+      504: 'OpenAI service temporarily unavailable. Please try again in a few moments.'
+    };
+  }
+
+  protected override mapProviderError(error: any): AIProviderError | null {
+    if (!error) return null;
+    const message: string = error.message || '';
+    const status = error.status || error.statusCode;
+
+    if (status === 400) {
+      if (message.includes('max_tokens')) {
+        return new AIProviderError(
+          'Max tokens value exceeds model limit. Please reduce max_tokens or use a model with higher limits.',
+          AIErrorType.INVALID_REQUEST, status, error
+        );
+      }
+      if (message.includes('model')) {
+        return new AIProviderError(
+          'Invalid model specified. Please check model name and availability.',
+          AIErrorType.MODEL_NOT_FOUND, status, error
+        );
+      }
+      if (message.includes('messages')) {
+        return new AIProviderError(
+          'Invalid message format. Please check message structure and content.',
+          AIErrorType.INVALID_REQUEST, status, error
+        );
+      }
+    }
+
+    if (status === 403 && (message.includes('billing') || message.includes('quota'))) {
+      return new AIProviderError(
+        'Insufficient quota or billing issue. Please check your OpenAI account billing and usage limits.',
+        AIErrorType.AUTHENTICATION, status, error
      );
    }

-    // OpenAI model names follow specific patterns
-    const validPatterns = [
-      /^gpt-4o(?:-mini)?(?:-\d{4}-\d{2}-\d{2})?$/,           // e.g., gpt-4o, gpt-4o-mini, gpt-4o-2024-11-20
-      /^gpt-4(?:-turbo)?(?:-\d{4}-\d{2}-\d{2})?$/,          // e.g., gpt-4, gpt-4-turbo, gpt-4-turbo-2024-04-09
-      /^gpt-3\.5-turbo(?:-\d{4})?$/,                        // e.g., gpt-3.5-turbo, gpt-3.5-turbo-0125
-      /^gpt-4-\d{4}-preview$/,                              // e.g., gpt-4-0125-preview
-      /^text-davinci-\d{3}$/,                               // Legacy models
-      /^ft:.+$/                                             // Fine-tuned models
-    ];
-
-    const isValid = validPatterns.some(pattern => pattern.test(modelName));
-    
-    if (!isValid) {
-      console.warn(`Model name '${modelName}' doesn't match expected OpenAI naming patterns. This may cause API errors.`);
+    if (status === 429 && message.includes('quota')) {
+      return new AIProviderError(
+        'Usage quota exceeded. Please check your OpenAI usage limits and billing.',
+        AIErrorType.RATE_LIMIT, status, error
+      );
    }
+
+    return null;
  }

  /**
@@ -435,8 +416,8 @@ export class OpenAIProvider extends BaseAIProvider {
    return {
      model: params.model || this.defaultModel,
      messages: this.convertMessages(params.messages),
-      max_tokens: params.maxTokens || 1000,
-      temperature: params.temperature ?? 0.7,
+      max_tokens: params.maxTokens || DEFAULT_MAX_TOKENS,
+      temperature: params.temperature ?? DEFAULT_TEMPERATURE,
      top_p: params.topP,
      stop: params.stopSequences,
      stream,
@@ -563,151 +544,4 @@ export class OpenAIProvider extends BaseAIProvider {
    };
  }

-  /**
-   * Handles and transforms OpenAI-specific errors.
-   * 
-   * This method maps OpenAI's error responses to our standardized
-   * error format, providing helpful context and actionable suggestions.
-   * 
-   * @private
-   * @param error - Original error from OpenAI API
-   * @returns Normalized AIProviderError
-   */
-  private handleOpenAIError(error: any): AIProviderError {
-    if (error instanceof AIProviderError) {
-      return error;
-    }
-
-    const message = error.message || 'Unknown OpenAI API error';
-    const status = error.status || error.statusCode;
-
-    // Map OpenAI-specific error codes and types
-    switch (status) {
-      case 400:
-        if (message.includes('max_tokens')) {
-          return new AIProviderError(
-            'Max tokens value exceeds model limit. Please reduce max_tokens or use a model with higher limits.',
-            AIErrorType.INVALID_REQUEST,
-            status,
-            error
-          );
-        }
-        if (message.includes('model')) {
-          return new AIProviderError(
-            'Invalid model specified. Please check model name and availability.',
-            AIErrorType.MODEL_NOT_FOUND,
-            status,
-            error
-          );
-        }
-        if (message.includes('messages')) {
-          return new AIProviderError(
-            'Invalid message format. Please check message structure and content.',
-            AIErrorType.INVALID_REQUEST,
-            status,
-            error
-          );
-        }
-        return new AIProviderError(
-          `Invalid request: ${message}`,
-          AIErrorType.INVALID_REQUEST,
-          status,
-          error
-        );
-
-      case 401:
-        return new AIProviderError(
-          'Authentication failed. Please verify your OpenAI API key from https://platform.openai.com/api-keys',
-          AIErrorType.AUTHENTICATION,
-          status,
-          error
-        );
-
-      case 403:
-        if (message.includes('billing') || message.includes('quota')) {
-          return new AIProviderError(
-            'Insufficient quota or billing issue. Please check your OpenAI account billing and usage limits.',
-            AIErrorType.AUTHENTICATION,
-            status,
-            error
-          );
-        }
-        return new AIProviderError(
-          'Access forbidden. Your API key may not have permission for this model or feature.',
-          AIErrorType.AUTHENTICATION,
-          status,
-          error
-        );
-
-      case 404:
-        return new AIProviderError(
-          'Model not found. The specified OpenAI model may not exist or be available to your account.',
-          AIErrorType.MODEL_NOT_FOUND,
-          status,
-          error
-        );
-
-      case 429:
-        if (message.includes('rate')) {
-          return new AIProviderError(
-            'Rate limit exceeded. Please reduce request frequency and implement exponential backoff.',
-            AIErrorType.RATE_LIMIT,
-            status,
-            error
-          );
-        }
-        if (message.includes('quota')) {
-          return new AIProviderError(
-            'Usage quota exceeded. Please check your OpenAI usage limits and billing.',
-            AIErrorType.RATE_LIMIT,
-            status,
-            error
-          );
-        }
-        return new AIProviderError(
-          'Too many requests. Please slow down and try again.',
-          AIErrorType.RATE_LIMIT,
-          status,
-          error
-        );
-
-      case 500:
-      case 502:
-      case 503:
-      case 504:
-        return new AIProviderError(
-          'OpenAI service temporarily unavailable. Please try again in a few moments.',
-          AIErrorType.NETWORK,
-          status,
-          error
-        );
-
-      default:
-        // Handle timeout and network errors
-        if (message.includes('timeout') || error.code === 'ETIMEDOUT') {
-          return new AIProviderError(
-            'Request timed out. OpenAI may be experiencing high load.',
-            AIErrorType.TIMEOUT,
-            status,
-            error
-          );
-        }
-
-        if (message.includes('network') || error.code === 'ECONNREFUSED') {
-          return new AIProviderError(
-            'Network error connecting to OpenAI servers.',
-            AIErrorType.NETWORK,
-            status,
-            error
-          );
-        }
-
-        return new AIProviderError(
-          `OpenAI API error: ${message}`,
-          AIErrorType.UNKNOWN,
-          status,
-          error
-        );
-    }
-  }
-} 
+}
--- a/src/providers/openwebui-http.ts
+++ b/src/providers/openwebui-http.ts
@@ -0,0 +1,59 @@
+import { AIProviderError, AIErrorType } from '../types/index.js';
+import { DEFAULT_TIMEOUT_MS } from '../constants.js';
+
+export interface OpenWebUIHttpOptions {
+  baseUrl: string;
+  apiKey?: string;
+  timeout?: number;
+  dangerouslyAllowInsecureConnections?: boolean;
+}
+
+/**
+ * Thin HTTP client shared by OpenWebUI strategies.
+ * Handles auth header, request body serialization, and timeout-to-AIProviderError translation.
+ */
+export class OpenWebUIHttpClient {
+  readonly baseUrl: string;
+  private readonly apiKey: string | undefined;
+  private readonly timeout: number;
+  private readonly dangerouslyAllowInsecureConnections: boolean;
+
+  constructor(options: OpenWebUIHttpOptions) {
+    this.baseUrl = options.baseUrl;
+    this.apiKey = options.apiKey;
+    this.timeout = options.timeout ?? DEFAULT_TIMEOUT_MS;
+    this.dangerouslyAllowInsecureConnections = options.dangerouslyAllowInsecureConnections ?? true;
+  }
+
+  async request(path: string, method: string, body?: unknown): Promise<Response> {
+    const headers: Record<string, string> = {
+      'Content-Type': 'application/json',
+      'User-Agent': 'simple-ai-provider/2.0.0'
+    };
+
+    if (this.apiKey) {
+      headers['Authorization'] = `Bearer ${this.apiKey}`;
+    }
+
+    const requestOptions: RequestInit = {
+      method,
+      headers,
+      body: body !== undefined ? JSON.stringify(body) : undefined,
+      signal: AbortSignal.timeout(this.timeout)
+    };
+
+    try {
+      return await fetch(`${this.baseUrl}${path}`, requestOptions);
+    } catch (error: any) {
+      if (error.name === 'AbortError') {
+        throw new AIProviderError(
+          'Request timed out',
+          AIErrorType.TIMEOUT,
+          undefined,
+          error
+        );
+      }
+      throw error;
+    }
+  }
+}
--- a/src/providers/openwebui-strategies.ts
+++ b/src/providers/openwebui-strategies.ts
@@ -0,0 +1,306 @@
+import type {
+  AIMessage,
+  CompletionChunk,
+  CompletionParams,
+  CompletionResponse
+} from '../types/index.js';
+import { AIProviderError, AIErrorType } from '../types/index.js';
+import { DEFAULT_MAX_TOKENS, DEFAULT_TEMPERATURE } from '../constants.js';
+import type { OpenWebUIHttpClient } from './openwebui-http.js';
+import type {
+  OllamaGenerateResponse,
+  OpenWebUIChatResponse,
+  OpenWebUIModelsResponse,
+  OpenWebUIStreamChunk
+} from './openwebui-types.js';
+
+/**
+ * Strategy interface for OpenWebUI's two backend modes.
+ * Selected at construction based on `useOllamaProxy`.
+ */
+export interface OpenWebUIStrategy {
+  validateConnection(): Promise<void>;
+  complete(params: CompletionParams, defaultModel: string): Promise<CompletionResponse<string>>;
+  stream(params: CompletionParams, defaultModel: string): AsyncIterable<CompletionChunk>;
+}
+
+// ============================================================================
+// Chat strategy — OpenAI-compatible /api/chat/completions endpoint
+// ============================================================================
+
+export class OpenWebUIChatStrategy implements OpenWebUIStrategy {
+  constructor(private readonly http: OpenWebUIHttpClient) {}
+
+  async validateConnection(): Promise<void> {
+    const response = await this.http.request('/api/models', 'GET');
+    if (!response.ok) {
+      throw new Error(`HTTP ${response.status}: ${response.statusText}`);
+    }
+    const data = await response.json() as OpenWebUIModelsResponse;
+    if (!data.data || !Array.isArray(data.data)) {
+      throw new Error('Invalid models response format');
+    }
+  }
+
+  async complete(params: CompletionParams, defaultModel: string): Promise<CompletionResponse<string>> {
+    const response = await this.http.request('/api/chat/completions', 'POST', {
+      model: params.model || defaultModel,
+      messages: convertMessages(params.messages),
+      max_tokens: params.maxTokens || DEFAULT_MAX_TOKENS,
+      temperature: params.temperature ?? DEFAULT_TEMPERATURE,
+      top_p: params.topP,
+      stop: params.stopSequences,
+      stream: false
+    });
+
+    const data = await response.json() as OpenWebUIChatResponse;
+    return formatChatResponse(data);
+  }
+
+  async *stream(params: CompletionParams, defaultModel: string): AsyncIterable<CompletionChunk> {
+    const response = await this.http.request('/api/chat/completions', 'POST', {
+      model: params.model || defaultModel,
+      messages: convertMessages(params.messages),
+      max_tokens: params.maxTokens || DEFAULT_MAX_TOKENS,
+      temperature: params.temperature ?? DEFAULT_TEMPERATURE,
+      top_p: params.topP,
+      stop: params.stopSequences,
+      stream: true
+    });
+
+    if (!response.body) {
+      throw new Error('No response body for streaming');
+    }
+
+    const reader = response.body.getReader();
+    const decoder = new TextDecoder();
+    let buffer = '';
+    let messageId = '';
+
+    try {
+      while (true) {
+        const { done, value } = await reader.read();
+        if (done) break;
+
+        buffer += decoder.decode(value, { stream: true });
+        const lines = buffer.split('\n');
+        buffer = lines.pop() || '';
+
+        for (const line of lines) {
+          const trimmed = line.trim();
+          if (!trimmed.startsWith('data: ')) continue;
+
+          const data = trimmed.slice(6);
+          if (data === '[DONE]') return;
+
+          let chunk: OpenWebUIStreamChunk;
+          try {
+            chunk = JSON.parse(data) as OpenWebUIStreamChunk;
+          } catch (parseError) {
+            console.warn('Failed to parse streaming chunk:', parseError);
+            continue;
+          }
+
+          if (chunk.id && !messageId) {
+            messageId = chunk.id;
+          }
+
+          const delta = chunk.choices[0]?.delta;
+          if (delta?.content) {
+            yield {
+              content: delta.content,
+              isComplete: false,
+              id: messageId || chunk.id
+            };
+          }
+
+          if (chunk.choices[0]?.finish_reason) {
+            yield {
+              content: '',
+              isComplete: true,
+              id: messageId || chunk.id,
+              usage: { promptTokens: 0, completionTokens: 0, totalTokens: 0 }
+            };
+            return;
+          }
+        }
+      }
+    } finally {
+      reader.releaseLock();
+    }
+  }
+}
+
+// ============================================================================
+// Ollama strategy — direct /ollama/api/generate endpoint
+// ============================================================================
+
+export class OpenWebUIOllamaStrategy implements OpenWebUIStrategy {
+  constructor(private readonly http: OpenWebUIHttpClient) {}
+
+  async validateConnection(): Promise<void> {
+    const response = await this.http.request('/ollama/api/tags', 'GET');
+    if (!response.ok) {
+      throw new Error(`HTTP ${response.status}: ${response.statusText}`);
+    }
+  }
+
+  async complete(params: CompletionParams, defaultModel: string): Promise<CompletionResponse<string>> {
+    const response = await this.http.request('/ollama/api/generate', 'POST', {
+      model: params.model || defaultModel,
+      prompt: convertMessagesToPrompt(params.messages),
+      stream: false,
+      options: {
+        temperature: params.temperature ?? DEFAULT_TEMPERATURE,
+        top_p: params.topP,
+        num_predict: params.maxTokens || DEFAULT_MAX_TOKENS,
+        stop: params.stopSequences
+      }
+    });
+
+    const data = await response.json() as OllamaGenerateResponse;
+    return formatOllamaResponse(data);
+  }
+
+  async *stream(params: CompletionParams, defaultModel: string): AsyncIterable<CompletionChunk> {
+    const response = await this.http.request('/ollama/api/generate', 'POST', {
+      model: params.model || defaultModel,
+      prompt: convertMessagesToPrompt(params.messages),
+      stream: true,
+      options: {
+        temperature: params.temperature ?? DEFAULT_TEMPERATURE,
+        top_p: params.topP,
+        num_predict: params.maxTokens || DEFAULT_MAX_TOKENS,
+        stop: params.stopSequences
+      }
+    });
+
+    if (!response.body) {
+      throw new Error('No response body for streaming');
+    }
+
+    const reader = response.body.getReader();
+    const decoder = new TextDecoder();
+    let buffer = '';
+    const messageId = `ollama-${Date.now()}`;
+
+    try {
+      while (true) {
+        const { done, value } = await reader.read();
+        if (done) break;
+
+        buffer += decoder.decode(value, { stream: true });
+        const lines = buffer.split('\n');
+        buffer = lines.pop() || '';
+
+        for (const line of lines) {
+          const trimmed = line.trim();
+          if (!trimmed) continue;
+
+          let chunk: OllamaGenerateResponse;
+          try {
+            chunk = JSON.parse(trimmed) as OllamaGenerateResponse;
+          } catch (parseError) {
+            console.warn('Failed to parse Ollama streaming chunk:', parseError);
+            continue;
+          }
+
+          if (chunk.response) {
+            yield {
+              content: chunk.response,
+              isComplete: false,
+              id: messageId
+            };
+          }
+
+          if (chunk.done) {
+            yield {
+              content: '',
+              isComplete: true,
+              id: messageId,
+              usage: {
+                promptTokens: chunk.prompt_eval_count || 0,
+                completionTokens: chunk.eval_count || 0,
+                totalTokens: (chunk.prompt_eval_count || 0) + (chunk.eval_count || 0)
+              }
+            };
+            return;
+          }
+        }
+      }
+    } finally {
+      reader.releaseLock();
+    }
+  }
+}
+
+// ============================================================================
+// Shared message helpers
+// ============================================================================
+
+function convertMessages(messages: AIMessage[]): Array<{ role: string; content: string }> {
+  return messages.map(message => ({
+    role: message.role,
+    content: message.content
+  }));
+}
+
+function convertMessagesToPrompt(messages: AIMessage[]): string {
+  let prompt = '';
+  for (const message of messages) {
+    switch (message.role) {
+      case 'system':
+        prompt += `System: ${message.content}\n\n`;
+        break;
+      case 'user':
+        prompt += `Human: ${message.content}\n\n`;
+        break;
+      case 'assistant':
+        prompt += `Assistant: ${message.content}\n\n`;
+        break;
+    }
+  }
+  return prompt + 'Assistant: ';
+}
+
+function formatChatResponse(response: OpenWebUIChatResponse): CompletionResponse<string> {
+  const choice = response.choices[0];
+  if (!choice || !choice.message.content) {
+    throw new AIProviderError('No content found in OpenWebUI response', AIErrorType.UNKNOWN);
+  }
+
+  return {
+    content: choice.message.content,
+    model: response.model,
+    usage: {
+      promptTokens: response.usage?.prompt_tokens || 0,
+      completionTokens: response.usage?.completion_tokens || 0,
+      totalTokens: response.usage?.total_tokens || 0
+    },
+    id: response.id,
+    metadata: {
+      finishReason: choice.finish_reason,
+      created: response.created
+    }
+  };
+}
+
+function formatOllamaResponse(response: OllamaGenerateResponse): CompletionResponse<string> {
+  return {
+    content: response.response,
+    model: response.model,
+    usage: {
+      promptTokens: response.prompt_eval_count || 0,
+      completionTokens: response.eval_count || 0,
+      totalTokens: (response.prompt_eval_count || 0) + (response.eval_count || 0)
+    },
+    id: `ollama-${Date.now()}`,
+    metadata: {
+      created: new Date(response.created_at).getTime(),
+      totalDuration: response.total_duration,
+      loadDuration: response.load_duration,
+      promptEvalDuration: response.prompt_eval_duration,
+      evalDuration: response.eval_duration
+    }
+  };
+}
--- a/src/providers/openwebui-types.ts
+++ b/src/providers/openwebui-types.ts
@@ -0,0 +1,55 @@
+/**
+ * Wire-format response types for OpenWebUI's two backends.
+ */
+
+export interface OpenWebUIChatResponse {
+  id: string;
+  object: string;
+  created: number;
+  model: string;
+  choices: Array<{
+    index: number;
+    message: { role: string; content: string };
+    finish_reason: string | null;
+  }>;
+  usage?: {
+    prompt_tokens: number;
+    completion_tokens: number;
+    total_tokens: number;
+  };
+}
+
+export interface OpenWebUIStreamChunk {
+  id: string;
+  object: string;
+  created: number;
+  model: string;
+  choices: Array<{
+    index: number;
+    delta: { role?: string; content?: string };
+    finish_reason: string | null;
+  }>;
+}
+
+export interface OllamaGenerateResponse {
+  model: string;
+  created_at: string;
+  response: string;
+  done: boolean;
+  context?: number[];
+  total_duration?: number;
+  load_duration?: number;
+  prompt_eval_count?: number;
+  prompt_eval_duration?: number;
+  eval_count?: number;
+  eval_duration?: number;
+}
+
+export interface OpenWebUIModelsResponse {
+  data: Array<{
+    id: string;
+    object: string;
+    created: number;
+    owned_by: string;
+  }>;
+}
--- a/src/providers/openwebui.ts
+++ b/src/providers/openwebui.ts
--- a/src/utils/factory.ts
+++ b/src/utils/factory.ts
@@ -1,168 +1,70 @@
 /**
- * Factory utilities for creating AI providers
- * Provides convenient methods for instantiating and configuring providers
+ * Factory utilities for creating AI providers.
 */

-import type { AIProviderConfig } from '../types/index.js';
 import { ClaudeProvider, type ClaudeConfig } from '../providers/claude.js';
 import { OpenAIProvider, type OpenAIConfig } from '../providers/openai.js';
 import { GeminiProvider, type GeminiConfig } from '../providers/gemini.js';
 import { OpenWebUIProvider, type OpenWebUIConfig } from '../providers/openwebui.js';
+import { ClaudeCodeProvider, type ClaudeCodeConfig } from '../providers/claude-code.js';
 import { BaseAIProvider } from '../providers/base.js';

-/**
- * Supported AI provider types
- */
-export type ProviderType = 'claude' | 'openai' | 'gemini' | 'openwebui';
+export const PROVIDER_REGISTRY = {
+  claude: ClaudeProvider,
+  openai: OpenAIProvider,
+  gemini: GeminiProvider,
+  openwebui: OpenWebUIProvider,
+  'claude-code': ClaudeCodeProvider
+} as const;
+
+export type ProviderType = keyof typeof PROVIDER_REGISTRY;

-/**
- * Configuration map for different provider types
- */
 export interface ProviderConfigMap {
  claude: ClaudeConfig;
  openai: OpenAIConfig;
  gemini: GeminiConfig;
  openwebui: OpenWebUIConfig;
+  'claude-code': ClaudeCodeConfig;
 }

-/**
- * Factory function to create AI providers
- * @param type - The type of provider to create
- * @param config - Configuration for the provider
- * @returns Configured AI provider instance
- */
 export function createProvider<T extends ProviderType>(
  type: T,
  config: ProviderConfigMap[T]
 ): BaseAIProvider {
-  switch (type) {
-    case 'claude':
-      return new ClaudeProvider(config as ClaudeConfig);
-    case 'openai':
-      return new OpenAIProvider(config as OpenAIConfig);
-    case 'gemini':
-      return new GeminiProvider(config as GeminiConfig);
-    case 'openwebui':
-      return new OpenWebUIProvider(config as OpenWebUIConfig);
-    default:
-      throw new Error(`Unsupported provider type: ${type}`);
+  const ProviderClass = PROVIDER_REGISTRY[type];
+  if (!ProviderClass) {
+    throw new Error(`Unsupported provider type: ${type}`);
  }
+  return new ProviderClass(config as any);
 }

-/**
- * Create a Claude provider with simplified configuration
- * @param apiKey - Anthropic API key
- * @param options - Optional additional configuration
- * @returns Configured Claude provider instance
- */
 export function createClaudeProvider(
  apiKey: string,
  options: Partial<Omit<ClaudeConfig, 'apiKey'>> = {}
 ): ClaudeProvider {
-  return new ClaudeProvider({
-    apiKey,
-    ...options
-  });
+  return new ClaudeProvider({ apiKey, ...options });
 }

-/**
- * Create an OpenAI provider with simplified configuration
- * @param apiKey - OpenAI API key
- * @param options - Optional additional configuration
- * @returns Configured OpenAI provider instance
- */
 export function createOpenAIProvider(
  apiKey: string,
  options: Partial<Omit<OpenAIConfig, 'apiKey'>> = {}
 ): OpenAIProvider {
-  return new OpenAIProvider({
-    apiKey,
-    ...options
-  });
+  return new OpenAIProvider({ apiKey, ...options });
 }

-/**
- * Create a Gemini provider with simplified configuration
- * @param apiKey - Google AI API key
- * @param options - Optional additional configuration
- * @returns Configured Gemini provider instance
- */
 export function createGeminiProvider(
  apiKey: string,
  options: Partial<Omit<GeminiConfig, 'apiKey'>> = {}
 ): GeminiProvider {
-  return new GeminiProvider({
-    apiKey,
-    ...options
-  });
+  return new GeminiProvider({ apiKey, ...options });
 }

-/**
- * Create an OpenWebUI provider instance
- */
 export function createOpenWebUIProvider(config: OpenWebUIConfig): OpenWebUIProvider {
  return new OpenWebUIProvider(config);
 }

-/**
- * Provider registry for dynamic provider creation
- */
-export class ProviderRegistry {
-  private static providers = new Map<string, new (config: AIProviderConfig) => BaseAIProvider>();
-
-  /**
-   * Register a new provider type
-   * @param name - Name of the provider
-   * @param providerClass - Provider class constructor
-   */
-  static register(name: string, providerClass: new (config: AIProviderConfig) => BaseAIProvider): void {
-    this.providers.set(name.toLowerCase(), providerClass);
-  }
-
-  /**
-   * Create a provider by name
-   * @param name - Name of the provider
-   * @param config - Configuration for the provider
-   * @returns Provider instance
-   */
-  static create(name: string, config: AIProviderConfig): BaseAIProvider {
-    const ProviderClass = this.providers.get(name.toLowerCase());
-    if (!ProviderClass) {
-      throw new Error(`Provider '${name}' is not registered`);
-    }
-    return new ProviderClass(config);
-  }
-
-  /**
-   * Get list of registered provider names
-   * @returns Array of registered provider names
-   */
-  static getRegisteredProviders(): string[] {
-    return Array.from(this.providers.keys());
-  }
-
-  /**
-   * Check if a provider is registered
-   * @param name - Name of the provider
-   * @returns True if provider is registered
-   */
-  static isRegistered(name: string): boolean {
-    return this.providers.has(name.toLowerCase());
-  }
+export function createClaudeCodeProvider(
+  options: Partial<ClaudeCodeConfig> = {}
+): ClaudeCodeProvider {
+  return new ClaudeCodeProvider(options);
 }
-
-// Pre-register built-in providers
-ProviderRegistry.register('claude', ClaudeProvider);
-ProviderRegistry.register('openai', OpenAIProvider);
-ProviderRegistry.register('gemini', GeminiProvider);
-ProviderRegistry.register('openwebui', OpenWebUIProvider);
-
-/**
- * Registry of all available providers
- */
-export const PROVIDER_REGISTRY = {
-  claude: ClaudeProvider,
-  openai: OpenAIProvider,
-  gemini: GeminiProvider,
-  openwebui: OpenWebUIProvider
-} as const; 
--- a/tests/claude-code.test.ts
+++ b/tests/claude-code.test.ts
@@ -0,0 +1,178 @@
+/**
+ * Tests for ClaudeCodeProvider
+ *
+ * The provider shells out to the local Claude Code CLI via
+ * @anthropic-ai/claude-agent-sdk. Tests cover the public surface and the
+ * provider-specific hooks; full integration is not exercised because it
+ * would spawn a real CLI process.
+ */
+
+import { describe, it, expect, beforeEach } from 'bun:test';
+import { ClaudeCodeProvider } from '../src/providers/claude-code.js';
+import { AIProviderError, AIErrorType } from '../src/types/index.js';
+
+describe('ClaudeCodeProvider', () => {
+  let provider: ClaudeCodeProvider;
+
+  beforeEach(() => {
+    provider = new ClaudeCodeProvider({ apiKey: 'test-key' });
+  });
+
+  describe('Constructor', () => {
+    it('should accept empty config (subscription mode)', () => {
+      const p = new ClaudeCodeProvider({});
+      expect(p).toBeInstanceOf(ClaudeCodeProvider);
+    });
+
+    it('should accept apiKey override', () => {
+      const p = new ClaudeCodeProvider({ apiKey: 'sk-...' });
+      expect(p).toBeInstanceOf(ClaudeCodeProvider);
+    });
+
+    it('should accept custom defaults', () => {
+      const p = new ClaudeCodeProvider({
+        defaultModel: 'opus',
+        maxTurns: 5,
+        allowedTools: ['Read', 'Bash'],
+        cwd: '/tmp/agent'
+      });
+      expect(p).toBeInstanceOf(ClaudeCodeProvider);
+    });
+
+    it('should reject non-string apiKey', () => {
+      expect(() => new ClaudeCodeProvider({ apiKey: 123 as any }))
+        .toThrow(AIProviderError);
+    });
+  });
+
+  describe('getInfo', () => {
+    it('should advertise subscriptionAuth capability', () => {
+      const info = provider.getInfo();
+
+      expect(info.name).toBe('Claude Code');
+      expect(info.supportsStreaming).toBe(true);
+      expect(info.capabilities).toMatchObject({
+        subscriptionAuth: true,
+        requiresLocalCli: true,
+        systemMessages: true
+      });
+      expect(info.models).toContain('sonnet');
+      expect(info.models).toContain('opus');
+    });
+  });
+
+  describe('Error mapping', () => {
+    const mapError = (err: any) => (provider as any).mapProviderError(err);
+
+    it('should detect missing CLI', () => {
+      const err = new Error('spawn claude ENOENT');
+
+      const mapped = mapError(err);
+
+      expect(mapped).toBeInstanceOf(AIProviderError);
+      expect(mapped.type).toBe(AIErrorType.INVALID_REQUEST);
+      expect(mapped.message).toContain('CLI');
+    });
+
+    it('should detect missing authentication', () => {
+      const err = new Error('not logged in');
+
+      const mapped = mapError(err);
+
+      expect(mapped).toBeInstanceOf(AIProviderError);
+      expect(mapped.type).toBe(AIErrorType.AUTHENTICATION);
+    });
+
+    it('should return null for unrelated errors', () => {
+      expect(mapError(new Error('something else'))).toBeNull();
+    });
+  });
+
+  describe('SDK assistant error mapping', () => {
+    const mapSdkError = (code: string) => (provider as any).errorForSdkAssistantError(code);
+
+    it('should map authentication_failed', () => {
+      const err = mapSdkError('authentication_failed');
+      expect(err.type).toBe(AIErrorType.AUTHENTICATION);
+    });
+
+    it('should map rate_limit', () => {
+      const err = mapSdkError('rate_limit');
+      expect(err.type).toBe(AIErrorType.RATE_LIMIT);
+    });
+
+    it('should map model_not_found', () => {
+      const err = mapSdkError('model_not_found');
+      expect(err.type).toBe(AIErrorType.MODEL_NOT_FOUND);
+    });
+
+    it('should map server_error to NETWORK', () => {
+      const err = mapSdkError('server_error');
+      expect(err.type).toBe(AIErrorType.NETWORK);
+    });
+
+    it('should fall back to UNKNOWN for unrecognized codes', () => {
+      const err = mapSdkError('weird_new_code');
+      expect(err.type).toBe(AIErrorType.UNKNOWN);
+    });
+  });
+
+  describe('Prompt building', () => {
+    const build = (messages: any[]) => (provider as any).buildPrompt(messages);
+
+    it('should pass single user turn through unchanged', () => {
+      const result = build([{ role: 'user', content: 'Hello' }]);
+
+      expect(result.prompt).toBe('Hello');
+      expect(result.systemPrompt).toBeUndefined();
+    });
+
+    it('should combine multiple system messages', () => {
+      const result = build([
+        { role: 'system', content: 'Be brief' },
+        { role: 'system', content: 'Use British spelling' },
+        { role: 'user', content: 'Hi' }
+      ]);
+
+      expect(result.systemPrompt).toBe('Be brief\n\nUse British spelling');
+      expect(result.prompt).toBe('Hi');
+    });
+
+    it('should flatten multi-turn conversation with role labels', () => {
+      const result = build([
+        { role: 'user', content: 'What is 2+2?' },
+        { role: 'assistant', content: '4' },
+        { role: 'user', content: 'Why?' }
+      ]);
+
+      expect(result.prompt).toContain('Human: What is 2+2?');
+      expect(result.prompt).toContain('Assistant: 4');
+      expect(result.prompt).toContain('Human: Why?');
+      expect(result.prompt.endsWith('Assistant:')).toBe(true);
+    });
+
+    it('should reject empty turn list', () => {
+      expect(() => build([{ role: 'system', content: 'only system' }]))
+        .toThrow(AIProviderError);
+    });
+  });
+
+  describe('Validation', () => {
+    it('should require initialization before complete()', async () => {
+      await expect(
+        provider.complete({ messages: [{ role: 'user', content: 'test' }] })
+      ).rejects.toThrow('Provider must be initialized before use');
+    });
+
+    it('should validate temperature range when initialized', async () => {
+      (provider as any).initialized = true;
+
+      await expect(
+        provider.complete({
+          messages: [{ role: 'user', content: 'test' }],
+          temperature: 1.5
+        })
+      ).rejects.toThrow(/temperature must be at most 1/);
+    });
+  });
+});
--- a/tests/claude.test.ts
+++ b/tests/claude.test.ts
@@ -51,7 +51,7 @@ describe('ClaudeProvider', () => {
          messages: [{ role: 'user', content: 'test' }],
          temperature: 1.5
        })
-      ).rejects.toThrow('Temperature must be a number between 0.0 and 1.0');
+      ).rejects.toThrow(/temperature must be at most 1/);
    });

    it('should validate message format', async () => {
@@ -78,19 +78,20 @@ describe('ClaudeProvider', () => {
    it('should handle authentication errors', () => {
      const error = new Error('Unauthorized');
      (error as any).status = 401;
-      
-      const providerError = (provider as any).handleAnthropicError(error);
-      
+
+      const providerError = (provider as any).normalizeError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.AUTHENTICATION);
+      expect(providerError.statusCode).toBe(401);
    });

    it('should handle rate limit errors', () => {
      const error = new Error('Rate limited');
      (error as any).status = 429;
-      
-      const providerError = (provider as any).handleAnthropicError(error);
-      
+
+      const providerError = (provider as any).normalizeError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.RATE_LIMIT);
    });
@@ -98,12 +99,22 @@ describe('ClaudeProvider', () => {
    it('should handle model not found errors', () => {
      const error = new Error('Model not found');
      (error as any).status = 404;
-      
-      const providerError = (provider as any).handleAnthropicError(error);
-      
+
+      const providerError = (provider as any).normalizeError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.MODEL_NOT_FOUND);
    });
+
+    it('should route 400 with max_tokens to mapProviderError', () => {
+      const error = new Error('max_tokens too large');
+      (error as any).status = 400;
+
+      const providerError = (provider as any).normalizeError(error);
+
+      expect(providerError.type).toBe(AIErrorType.INVALID_REQUEST);
+      expect(providerError.message).toMatch(/Max tokens/);
+    });
  });

  describe('message conversion', () => {
--- a/tests/gemini.test.ts
+++ b/tests/gemini.test.ts
@@ -11,7 +11,7 @@ describe('GeminiProvider', () => {
  beforeEach(() => {
    provider = new GeminiProvider({
      apiKey: 'test-api-key',
-      defaultModel: 'gemini-1.5-flash'
+      defaultModel: 'gemini-2.5-flash'
    });
  });

@@ -52,13 +52,13 @@ describe('GeminiProvider', () => {
  describe('getInfo', () => {
    it('should return provider information', () => {
      const info = provider.getInfo();
-      
+
      expect(info.name).toBe('Gemini');
-      expect(info.version).toBe('1.0.0');
+      expect(info.version).toBe('2.0.0');
      expect(info.supportsStreaming).toBe(true);
-      expect(info.models).toContain('gemini-1.5-flash');
+      expect(info.models).toContain('gemini-2.5-flash');
+      expect(info.models).toContain('gemini-2.5-pro');
      expect(info.models).toContain('gemini-1.5-pro');
-      expect(info.models).toContain('gemini-1.0-pro');
      expect(info.maxContextLength).toBe(1048576);
      expect(info.capabilities).toHaveProperty('vision', true);
      expect(info.capabilities).toHaveProperty('functionCalling', true);
@@ -79,7 +79,7 @@ describe('GeminiProvider', () => {
          messages: [{ role: 'user', content: 'test' }],
          temperature: 1.5
        })
-      ).rejects.toThrow('Temperature must be a number between 0.0 and 1.0');
+      ).rejects.toThrow(/temperature must be at most 1/);
    });

    it('should validate top_p range', async () => {
@@ -92,7 +92,7 @@ describe('GeminiProvider', () => {
          messages: [{ role: 'user', content: 'test' }],
          topP: 1.5
        })
-      ).rejects.toThrow('Top-p must be a number between 0.0 (exclusive) and 1.0 (inclusive)');
+      ).rejects.toThrow(/topP must be at most 1/);
    });

    it('should validate message format', async () => {
@@ -129,11 +129,13 @@ describe('GeminiProvider', () => {
  });

  describe('error handling', () => {
+    const mapError = (err: any) => (provider as any).normalizeError(err);
+
    it('should handle authentication errors', () => {
      const error = new Error('API key invalid');
-      
-      const providerError = (provider as any).handleGeminiError(error);
-      
+
+      const providerError = mapError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.AUTHENTICATION);
      expect(providerError.message).toContain('Invalid Google API key');
@@ -141,9 +143,9 @@ describe('GeminiProvider', () => {

    it('should handle rate limit errors', () => {
      const error = new Error('quota exceeded');
-      
-      const providerError = (provider as any).handleGeminiError(error);
-      
+
+      const providerError = mapError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.RATE_LIMIT);
      expect(providerError.message).toContain('API quota exceeded');
@@ -151,9 +153,9 @@ describe('GeminiProvider', () => {

    it('should handle model not found errors', () => {
      const error = new Error('model not found');
-      
-      const providerError = (provider as any).handleGeminiError(error);
-      
+
+      const providerError = mapError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.MODEL_NOT_FOUND);
      expect(providerError.message).toContain('Model not found');
@@ -161,36 +163,36 @@ describe('GeminiProvider', () => {

    it('should handle invalid request errors', () => {
      const error = new Error('invalid length request parameters');
-      
-      const providerError = (provider as any).handleGeminiError(error);
-      
+
+      const providerError = mapError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.INVALID_REQUEST);
    });

    it('should handle network errors', () => {
      const error = new Error('network connection failed');
-      
-      const providerError = (provider as any).handleGeminiError(error);
-      
+
+      const providerError = mapError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.NETWORK);
    });

    it('should handle timeout errors', () => {
      const error = new Error('request timeout');
-      
-      const providerError = (provider as any).handleGeminiError(error);
-      
+
+      const providerError = mapError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.TIMEOUT);
    });

    it('should handle unknown errors', () => {
      const error = new Error('Unknown error');
-      
-      const providerError = (provider as any).handleGeminiError(error);
-      
+
+      const providerError = mapError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.UNKNOWN);
    });
@@ -266,7 +268,7 @@ describe('GeminiProvider', () => {
        stopSequences: ['STOP', 'END']
      };

-      const result = (provider as any).buildGenerationConfig(params);
+      const result = (provider as any).buildConfig(params);

      expect(result.temperature).toBe(0.8);
      expect(result.topP).toBe(0.9);
@@ -279,20 +281,29 @@ describe('GeminiProvider', () => {
        messages: [{ role: 'user' as const, content: 'test' }]
      };

-      const result = (provider as any).buildGenerationConfig(params);
+      const result = (provider as any).buildConfig(params);

      expect(result.temperature).toBe(0.7);
      expect(result.maxOutputTokens).toBe(1000);
    });
+
+    it('should attach systemInstruction when passed', () => {
+      const params = { messages: [{ role: 'user' as const, content: 'test' }] };
+
+      const result = (provider as any).buildConfig(params, 'be helpful');
+
+      expect(result.systemInstruction).toBe('be helpful');
+    });
  });

  describe('response formatting', () => {
+    // The @google/genai SDK exposes `text` as a getter on GenerateContentResponse,
+    // so the mock provides it directly rather than reconstructing the candidate->parts tree.
+
    it('should format completion response correctly', () => {
      const mockResponse = {
+        text: 'Hello there!',
        candidates: [{
-          content: {
-            parts: [{ text: 'Hello there!' }]
-          },
          finishReason: 'STOP',
          safetyRatings: [],
          citationMetadata: null
@@ -304,42 +315,19 @@ describe('GeminiProvider', () => {
        }
      };

-      const result = (provider as any).formatCompletionResponse(mockResponse, 'gemini-1.5-flash');
+      const result = (provider as any).formatCompletionResponse(mockResponse, 'gemini-2.5-flash');

      expect(result.content).toBe('Hello there!');
-      expect(result.model).toBe('gemini-1.5-flash');
+      expect(result.model).toBe('gemini-2.5-flash');
      expect(result.usage.promptTokens).toBe(10);
      expect(result.usage.completionTokens).toBe(20);
      expect(result.usage.totalTokens).toBe(30);
      expect(result.metadata.finishReason).toBe('STOP');
    });

-    it('should handle multiple text parts', () => {
-      const mockResponse = {
-        candidates: [{
-          content: {
-            parts: [
-              { text: 'Hello ' },
-              { text: 'there!' },
-              { functionCall: { name: 'test' } } // Non-text part should be filtered
-            ]
-          },
-          finishReason: 'STOP'
-        }],
-        usageMetadata: {
-          promptTokenCount: 5,
-          candidatesTokenCount: 10,
-          totalTokenCount: 15
-        }
-      };
-
-      const result = (provider as any).formatCompletionResponse(mockResponse, 'gemini-1.5-flash');
-
-      expect(result.content).toBe('Hello there!');
-    });
-
    it('should throw error for empty response', () => {
      const mockResponse = {
+        text: '',
        candidates: [],
        usageMetadata: {
          promptTokenCount: 5,
@@ -349,8 +337,8 @@ describe('GeminiProvider', () => {
      };

      expect(() => {
-        (provider as any).formatCompletionResponse(mockResponse, 'gemini-1.5-flash');
-      }).toThrow('No candidates found in Gemini response');
+        (provider as any).formatCompletionResponse(mockResponse, 'gemini-2.5-flash');
+      }).toThrow('No text content found in Gemini response');
    });
  });

--- a/tests/openai.test.ts
+++ b/tests/openai.test.ts
@@ -73,7 +73,7 @@ describe('OpenAIProvider', () => {
          messages: [{ role: 'user', content: 'test' }],
          temperature: 1.5
        })
-      ).rejects.toThrow('Temperature must be a number between 0.0 and 1.0');
+      ).rejects.toThrow(/temperature must be at most 1/);
    });

    it('should validate top_p range', async () => {
@@ -85,7 +85,7 @@ describe('OpenAIProvider', () => {
          messages: [{ role: 'user', content: 'test' }],
          topP: 1.5
        })
-      ).rejects.toThrow('Top-p must be a number between 0.0 (exclusive) and 1.0 (inclusive)');
+      ).rejects.toThrow(/topP must be at most 1/);
    });

    it('should validate message format', async () => {
@@ -120,23 +120,25 @@ describe('OpenAIProvider', () => {
  });

  describe('error handling', () => {
+    const mapError = (err: any) => (provider as any).normalizeError(err);
+
    it('should handle authentication errors', () => {
      const error = new Error('Unauthorized');
      (error as any).status = 401;
-      
-      const providerError = (provider as any).handleOpenAIError(error);
-      
+
+      const providerError = mapError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.AUTHENTICATION);
-      expect(providerError.message).toContain('Authentication failed');
+      expect(providerError.message).toContain('OpenAI API key');
    });

    it('should handle rate limit errors', () => {
      const error = new Error('Rate limited');
      (error as any).status = 429;
-      
-      const providerError = (provider as any).handleOpenAIError(error);
-      
+
+      const providerError = mapError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.RATE_LIMIT);
      expect(providerError.message).toContain('Too many requests');
@@ -145,9 +147,9 @@ describe('OpenAIProvider', () => {
    it('should handle model not found errors', () => {
      const error = new Error('Model not found');
      (error as any).status = 404;
-      
-      const providerError = (provider as any).handleOpenAIError(error);
-      
+
+      const providerError = mapError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.MODEL_NOT_FOUND);
      expect(providerError.message).toContain('Model not found');
@@ -156,9 +158,9 @@ describe('OpenAIProvider', () => {
    it('should handle invalid request errors', () => {
      const error = new Error('Bad request');
      (error as any).status = 400;
-      
-      const providerError = (provider as any).handleOpenAIError(error);
-      
+
+      const providerError = mapError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.INVALID_REQUEST);
    });
@@ -166,21 +168,31 @@ describe('OpenAIProvider', () => {
    it('should handle server errors', () => {
      const error = new Error('Internal server error');
      (error as any).status = 500;
-      
-      const providerError = (provider as any).handleOpenAIError(error);
-      
+
+      const providerError = mapError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.NETWORK);
    });

    it('should handle unknown errors', () => {
      const error = new Error('Unknown error');
-      
-      const providerError = (provider as any).handleOpenAIError(error);
-      
+
+      const providerError = mapError(error);
+
      expect(providerError).toBeInstanceOf(AIProviderError);
      expect(providerError.type).toBe(AIErrorType.UNKNOWN);
    });
+
+    it('should route 429 with quota to quota-specific message', () => {
+      const error = new Error('quota exceeded');
+      (error as any).status = 429;
+
+      const providerError = mapError(error);
+
+      expect(providerError.type).toBe(AIErrorType.RATE_LIMIT);
+      expect(providerError.message).toContain('Usage quota exceeded');
+    });
  });

  describe('message conversion', () => {
--- a/tests/openwebui.test.ts
+++ b/tests/openwebui.test.ts
@@ -1,5 +1,11 @@
 /**
 * Tests for OpenWebUI provider implementation
+ *
+ * The R3 refactor split message conversion, response formatting, and the
+ * HTTP client into openwebui-strategies.ts and openwebui-http.ts. Tests for
+ * those helpers should live alongside those files. This file covers the
+ * provider's public surface and the error-mapping hooks it adds on top of
+ * BaseAIProvider.
 */

 import { describe, it, expect, beforeEach, jest } from 'bun:test';
@@ -14,7 +20,7 @@ describe('OpenWebUIProvider', () => {
    mockConfig = {
      apiKey: 'test-bearer-token',
      baseUrl: 'http://localhost:3000',
-      defaultModel: 'llama3.1'
+      defaultModel: 'llama3.1:latest'
    };
  });

@@ -26,31 +32,32 @@ describe('OpenWebUIProvider', () => {
    });

    it('should use default values when not specified', () => {
-      const minimalConfig: OpenWebUIConfig = { apiKey: 'test' };
-      provider = new OpenWebUIProvider(minimalConfig);
+      provider = new OpenWebUIProvider({ apiKey: 'test' });
      expect(provider).toBeInstanceOf(OpenWebUIProvider);
    });

-    it('should handle custom configuration', () => {
-      const config: OpenWebUIConfig = {
+    it('should accept Ollama proxy mode', () => {
+      provider = new OpenWebUIProvider({
        apiKey: 'test',
        baseUrl: 'http://localhost:8080',
        defaultModel: 'mistral:7b',
        useOllamaProxy: true
-      };
-      provider = new OpenWebUIProvider(config);
+      });
      expect(provider).toBeInstanceOf(OpenWebUIProvider);
    });

-    it('should handle trailing slash in baseUrl', () => {
-      const config: OpenWebUIConfig = {
+    it('should normalize trailing slash in baseUrl', () => {
+      provider = new OpenWebUIProvider({
        apiKey: 'test',
-        baseUrl: 'http://localhost:3000/',
-        defaultModel: 'llama3.1'
-      };
-      provider = new OpenWebUIProvider(config);
+        baseUrl: 'http://localhost:3000/'
+      });
      expect(provider).toBeInstanceOf(OpenWebUIProvider);
    });
+
+    it('should reject malformed baseUrl', () => {
+      expect(() => new OpenWebUIProvider({ apiKey: 'test', baseUrl: 'not a url' }))
+        .toThrow(AIProviderError);
+    });
  });

  describe('getInfo', () => {
@@ -60,9 +67,9 @@ describe('OpenWebUIProvider', () => {

    it('should return correct provider information', () => {
      const info = provider.getInfo();
-      
+
      expect(info.name).toBe('OpenWebUI');
-      expect(info.version).toBe('1.0.0');
+      expect(info.version).toBe('2.0.0');
      expect(info.supportsStreaming).toBe(true);
      expect(info.maxContextLength).toBe(32768);
      expect(Array.isArray(info.models)).toBe(true);
@@ -70,345 +77,120 @@ describe('OpenWebUIProvider', () => {

    it('should include expected models', () => {
      const info = provider.getInfo();
-      
+
      expect(info.models).toContain('llama3.1:latest');
      expect(info.models).toContain('mistral:latest');
      expect(info.models).toContain('codellama:latest');
      expect(info.models).toContain('gemma:latest');
    });

-    it('should have correct capabilities', () => {
+    it('should expose capabilities', () => {
      const info = provider.getInfo();
-      
-      expect(info.capabilities).toEqual({
+
+      expect(info.capabilities).toMatchObject({
        vision: false,
        functionCalling: false,
-        jsonMode: false,
        systemMessages: true,
-        reasoning: true,
-        codeGeneration: true,
-        localDeployment: true,
-        multiModel: true
+        localDeployment: true
      });
    });
  });

-  describe('Error Handling', () => {
+  describe('Error mapping', () => {
+    const mapError = (err: any) => (provider as any).normalizeError(err);
+
    beforeEach(() => {
      provider = new OpenWebUIProvider(mockConfig);
    });

-    it('should handle connection refused errors', () => {
-      const mockError = new Error('connect ECONNREFUSED') as any;
-      mockError.code = 'ECONNREFUSED';
-      
-      const aiError = (provider as any).handleOpenWebUIError(mockError);
-      
+    it('should map ECONNREFUSED to NETWORK', () => {
+      const error = new Error('connect ECONNREFUSED') as any;
+
+      const aiError = mapError(error);
+
      expect(aiError).toBeInstanceOf(AIProviderError);
      expect(aiError.type).toBe(AIErrorType.NETWORK);
-      expect(aiError.message).toContain('Network error connecting to OpenWebUI');
    });

-    it('should handle hostname resolution errors', () => {
-      const mockError = new Error('getaddrinfo ENOTFOUND') as any;
-      mockError.code = 'ENOTFOUND';
-      
-      const aiError = (provider as any).handleOpenWebUIError(mockError);
-      
-      expect(aiError).toBeInstanceOf(AIProviderError);
-      expect(aiError.type).toBe(AIErrorType.UNKNOWN);
-      expect(aiError.message).toContain('OpenWebUI error');
+    it('should map ENOTFOUND to NETWORK', () => {
+      const error = new Error('getaddrinfo ENOTFOUND') as any;
+
+      const aiError = mapError(error);
+
+      expect(aiError.type).toBe(AIErrorType.NETWORK);
    });

-    it('should handle 404 model not found errors', () => {
-      const mockError = new Error('model not available') as any;
-      mockError.status = 404;
-      mockError.message = 'model not available';
-      
-      const aiError = (provider as any).handleOpenWebUIError(mockError);
-      
-      expect(aiError).toBeInstanceOf(AIProviderError);
+    it('should map 404 with "model" in message to MODEL_NOT_FOUND', () => {
+      const error = new Error('model not available') as any;
+      error.status = 404;
+
+      const aiError = mapError(error);
+
      expect(aiError.type).toBe(AIErrorType.MODEL_NOT_FOUND);
+      expect(aiError.message).toContain('OpenWebUI');
    });

-    it('should handle 404 endpoint not found errors', () => {
-      const mockError = new Error('Not found') as any;
-      mockError.status = 404;
-      mockError.message = 'endpoint not found';
-      
-      const aiError = (provider as any).handleOpenWebUIError(mockError);
-      
-      expect(aiError).toBeInstanceOf(AIProviderError);
-      expect(aiError.type).toBe(AIErrorType.INVALID_REQUEST);
-      expect(aiError.message).toContain('OpenWebUI endpoint not found');
+    it('should map 404 without "model" in message to MODEL_NOT_FOUND with endpoint message', () => {
+      const error = new Error('Not found') as any;
+      error.status = 404;
+
+      const aiError = mapError(error);
+
+      expect(aiError.type).toBe(AIErrorType.MODEL_NOT_FOUND);
+      expect(aiError.message).toContain('endpoint');
    });

-    it('should handle timeout errors', () => {
-      const mockError = new Error('Request timeout') as any;
-      mockError.code = 'ETIMEDOUT';
-      
-      const aiError = (provider as any).handleOpenWebUIError(mockError);
-      
-      expect(aiError).toBeInstanceOf(AIProviderError);
+    it('should map timeout errors to TIMEOUT', () => {
+      const error = new Error('Request timeout') as any;
+
+      const aiError = mapError(error);
+
      expect(aiError.type).toBe(AIErrorType.TIMEOUT);
    });

-    it('should handle rate limit errors', () => {
-      const mockError = new Error('Rate limit exceeded') as any;
-      mockError.status = 429;
-      
-      const aiError = (provider as any).handleOpenWebUIError(mockError);
-      
-      expect(aiError).toBeInstanceOf(AIProviderError);
+    it('should map 429 to RATE_LIMIT', () => {
+      const error = new Error('Rate limit exceeded') as any;
+      error.status = 429;
+
+      const aiError = mapError(error);
+
      expect(aiError.type).toBe(AIErrorType.RATE_LIMIT);
    });

-    it('should handle server errors', () => {
-      const mockError = new Error('Internal server error') as any;
-      mockError.status = 500;
-      
-      const aiError = (provider as any).handleOpenWebUIError(mockError);
-      
-      expect(aiError).toBeInstanceOf(AIProviderError);
+    it('should map 500 to NETWORK', () => {
+      const error = new Error('Internal server error') as any;
+      error.status = 500;
+
+      const aiError = mapError(error);
+
      expect(aiError.type).toBe(AIErrorType.NETWORK);
    });

-    it('should handle authentication errors', () => {
-      const mockError = new Error('Unauthorized') as any;
-      mockError.status = 401;
-      
-      const aiError = (provider as any).handleOpenWebUIError(mockError);
-      
-      expect(aiError).toBeInstanceOf(AIProviderError);
+    it('should map 401 to AUTHENTICATION with OpenWebUI hint', () => {
+      const error = new Error('Unauthorized') as any;
+      error.status = 401;
+
+      const aiError = mapError(error);
+
      expect(aiError.type).toBe(AIErrorType.AUTHENTICATION);
-      expect(aiError.message).toContain('Authentication failed with OpenWebUI');
+      expect(aiError.message).toContain('OpenWebUI');
    });

-    it('should handle unknown errors', () => {
-      const mockError = new Error('Unknown error');
-      
-      const aiError = (provider as any).handleOpenWebUIError(mockError);
-      
-      expect(aiError).toBeInstanceOf(AIProviderError);
+    it('should map unrecognized errors to UNKNOWN', () => {
+      const error = new Error('Unknown error');
+
+      const aiError = mapError(error);
+
      expect(aiError.type).toBe(AIErrorType.UNKNOWN);
    });
  });

-  describe('Message Conversion', () => {
-    beforeEach(() => {
-      provider = new OpenWebUIProvider(mockConfig);
-    });
-
-    it('should convert messages correctly for chat API', () => {
-      const messages = [
-        { role: 'system' as const, content: 'You are helpful' },
-        { role: 'user' as const, content: 'Hello' },
-        { role: 'assistant' as const, content: 'Hi there!' }
-      ];
-
-      const converted = (provider as any).convertMessages(messages);
-      
-      expect(converted).toHaveLength(3);
-      expect(converted[0]).toEqual({ role: 'system', content: 'You are helpful' });
-      expect(converted[1]).toEqual({ role: 'user', content: 'Hello' });
-      expect(converted[2]).toEqual({ role: 'assistant', content: 'Hi there!' });
-    });
-
-    it('should convert messages to prompt for Ollama API', () => {
-      const messages = [
-        { role: 'system' as const, content: 'You are helpful' },
-        { role: 'user' as const, content: 'Hello' },
-        { role: 'assistant' as const, content: 'Hi there!' }
-      ];
-
-      const prompt = (provider as any).convertMessagesToPrompt(messages);
-      
-      expect(prompt).toBe('System: You are helpful\n\nHuman: Hello\n\nAssistant: Hi there!\n\nAssistant: ');
-    });
-  });
-
-  describe('Response Formatting', () => {
-    beforeEach(() => {
-      provider = new OpenWebUIProvider(mockConfig);
-    });
-
-    it('should format chat completion response correctly', () => {
-      const mockResponse = {
-        id: 'test-id',
-        object: 'chat.completion',
-        created: 1234567890,
-        model: 'llama3.1',
-        choices: [{
-          index: 0,
-          message: { role: 'assistant', content: 'Hello there!' },
-          finish_reason: 'stop'
-        }],
-        usage: {
-          prompt_tokens: 10,
-          completion_tokens: 5,
-          total_tokens: 15
-        }
-      };
-
-      const response = (provider as any).formatChatResponse(mockResponse);
-
-      expect(response.content).toBe('Hello there!');
-      expect(response.model).toBe('llama3.1');
-      expect(response.id).toBe('test-id');
-      expect(response.usage.promptTokens).toBe(10);
-      expect(response.usage.completionTokens).toBe(5);
-      expect(response.usage.totalTokens).toBe(15);
-      expect(response.metadata?.finishReason).toBe('stop');
-      expect(response.metadata?.created).toBe(1234567890);
-    });
-
-    it('should format Ollama response correctly', () => {
-      const mockResponse = {
-        model: 'llama3.1',
-        created_at: '2024-01-01T00:00:00Z',
-        response: 'Hello there!',
-        done: true,
-        prompt_eval_count: 10,
-        eval_count: 5,
-        total_duration: 1000000,
-        eval_duration: 500000
-      };
-
-      const response = (provider as any).formatOllamaResponse(mockResponse);
-
-      expect(response.content).toBe('Hello there!');
-      expect(response.model).toBe('llama3.1');
-      expect(response.usage.promptTokens).toBe(10);
-      expect(response.usage.completionTokens).toBe(5);
-      expect(response.usage.totalTokens).toBe(15);
-      expect(response.metadata?.created).toBe(1704067200000);
-      expect(response.metadata?.totalDuration).toBe(1000000);
-    });
-
-    it('should handle response without content', () => {
-      const mockResponse = {
-        id: 'test-id',
-        object: 'chat.completion',
-        created: 1234567890,
-        model: 'llama3.1',
-        choices: [{
-          index: 0,
-          message: { role: 'assistant' }, // Message without content
-          finish_reason: 'stop'
-        }],
-        usage: { prompt_tokens: 5, completion_tokens: 0, total_tokens: 5 }
-      };
-
-      expect(() => {
-        (provider as any).formatChatResponse(mockResponse);
-      }).toThrow(AIProviderError);
-    });
-
-    it('should handle missing usage information', () => {
-      const mockResponse = {
-        id: 'test-id',
-        object: 'chat.completion',
-        created: 1234567890,
-        model: 'llama3.1',
-        choices: [{
-          index: 0,
-          message: { role: 'assistant', content: 'Hello there!' },
-          finish_reason: 'stop'
-        }]
-        // No usage information
-      };
-
-      const response = (provider as any).formatChatResponse(mockResponse);
-
-      expect(response.content).toBe('Hello there!');
-      expect(response.usage.promptTokens).toBe(0);
-      expect(response.usage.completionTokens).toBe(0);
-      expect(response.usage.totalTokens).toBe(0);
-    });
-  });
-
-  describe('Configuration Options', () => {
-    it('should handle custom baseUrl', () => {
-      const config: OpenWebUIConfig = {
-        apiKey: 'test',
-        baseUrl: 'https://my-openwebui.com'
-      };
-      
-      provider = new OpenWebUIProvider(config);
-      expect(provider).toBeInstanceOf(OpenWebUIProvider);
-    });
-
-    it('should handle custom default model', () => {
-      const config: OpenWebUIConfig = {
-        apiKey: 'test',
-        defaultModel: 'mistral:7b'
-      };
-      
-      provider = new OpenWebUIProvider(config);
-      expect(provider).toBeInstanceOf(OpenWebUIProvider);
-    });
-
-    it('should handle Ollama proxy mode', () => {
-      const config: OpenWebUIConfig = {
-        apiKey: 'test',
-        useOllamaProxy: true
-      };
-      
-      provider = new OpenWebUIProvider(config);
-      expect(provider).toBeInstanceOf(OpenWebUIProvider);
-    });
-
-    it('should handle SSL verification settings', () => {
-      const config: OpenWebUIConfig = {
-        apiKey: 'test',
-        dangerouslyAllowInsecureConnections: false
-      };
-      
-      provider = new OpenWebUIProvider(config);
-      expect(provider).toBeInstanceOf(OpenWebUIProvider);
-    });
-  });
-
-  describe('Request Generation', () => {
-    beforeEach(() => {
-      provider = new OpenWebUIProvider(mockConfig);
-    });
-
-    it('should generate correct headers', () => {
-      const headers = (provider as any).makeRequest('http://test.com', 'GET');
-      // Note: This would need to be mocked in a real test environment
-      expect(typeof headers).toBe('object');
-    });
-  });
-
-  describe('API Mode Selection', () => {
-    it('should use chat API by default', () => {
-      const config: OpenWebUIConfig = {
-        apiKey: 'test',
-        useOllamaProxy: false
-      };
-      
-      provider = new OpenWebUIProvider(config);
-      expect(provider).toBeInstanceOf(OpenWebUIProvider);
-    });
-
-    it('should use Ollama proxy when configured', () => {
-      const config: OpenWebUIConfig = {
-        apiKey: 'test',
-        useOllamaProxy: true
-      };
-      
-      provider = new OpenWebUIProvider(config);
-      expect(provider).toBeInstanceOf(OpenWebUIProvider);
-    });
-  });
-
  describe('Validation', () => {
    beforeEach(() => {
      provider = new OpenWebUIProvider(mockConfig);
    });

-    it('should validate provider is initialized before use', async () => {
+    it('should require initialization before use', async () => {
      const params: CompletionParams = {
        messages: [{ role: 'user', content: 'Hello' }]
      };
@@ -417,31 +199,31 @@ describe('OpenWebUIProvider', () => {
    });
  });

-  describe('structured responses', () => {
-    it('should handle structured responses correctly', async () => {
-      const provider = new OpenWebUIProvider({ apiKey: 'test-key' });
+  describe('Structured responses', () => {
+    it('should parse JSON content into typed responses', async () => {
+      const p = new OpenWebUIProvider({ apiKey: 'test-key' });
      const mockResponse = {
        content: JSON.stringify({ name: 'John Doe', age: 30 }),
-        model: 'llama3.1',
+        model: 'llama3.1:latest',
        usage: { promptTokens: 10, completionTokens: 20, totalTokens: 30 },
        id: 'test-id'
      };
-      (provider as any).doComplete = jest.fn().mockResolvedValue(mockResponse);
-      (provider as any).initialized = true;
+      (p as any).doComplete = jest.fn().mockResolvedValue(mockResponse);
+      (p as any).initialized = true;

-      const responseType = createResponseType<{ name: string; age: number }>
-        (`{ name: string; age: number }`,
+      const responseType = createResponseType<{ name: string; age: number }>(
+        `{ name: string; age: number }`,
        'A user profile'
      );

-      const response = await provider.complete<{ name: string; age: number }>({ 
+      const response = await p.complete<{ name: string; age: number }>({
        messages: [{ role: 'user', content: 'test' }],
        responseType
      });

      expect(response.content).toEqual({ name: 'John Doe', age: 30 });
      expect(response.rawContent).toBe(JSON.stringify({ name: 'John Doe', age: 30 }));
-      expect((provider as any).doComplete).toHaveBeenCalled();
+      expect((p as any).doComplete).toHaveBeenCalled();
    });
  });
-});
+});
Author	SHA1	Message	Date
jleibl	b99707c629	Merge pull request 'fix(claude-code): add oauthToken config for subscription SDK auth' (#12 ) from fix/claude-code-oauth-token into main Reviewed-on: #12	2026-05-21 12:56:28 +00:00
Jan-Marlon Leibl	b935209142	fix(claude-code): add oauthToken config for subscription SDK auth `claude login` alone does not authorize SDK / non-interactive (`claude -p`) usage. Anthropic gates that behind a separate long-lived token minted by `claude setup-token`. Without it, subscription users hit `billing_error` from the SDK even though interactive Claude Code works fine. Changes: - ClaudeCodeConfig.oauthToken: new optional field. When set, the provider exports it as CLAUDE_CODE_OAUTH_TOKEN before invoking the SDK, which makes the SDK bill against the user's Pro/Max subscription instead of API credits. - apiKey continues to work for users with a console API key. If both are present, oauthToken takes precedence. - billing_error / authentication_failed messages now point users at `claude setup-token` so the fix is obvious from the error alone. - README: rewrite the Claude Code section to document both modes and the `claude setup-token` step explicitly. - examples/claude-code.ts: read CLAUDE_CODE_OAUTH_TOKEN from env so the smoke test actually works for subscribers.	2026-05-21 14:56:14 +02:00
Jan-Marlon Leibl	d4871d22fe	chore(release): 2.1.0 Minor release adding the ClaudeCodeProvider for Claude Pro/Max subscription users (PR #10) along with a rewritten README (PR #10) and a repaired test suite (PR #11). New public exports: - ClaudeCodeProvider, ClaudeCodeConfig - createClaudeCodeProvider - 'claude-code' added to PROVIDER_REGISTRY and SUPPORTED_PROVIDERS No breaking changes.	2026-05-21 14:39:36 +02:00
jleibl	9cb7ee8f9e	Merge pull request 'test: repair test suite after R1-R3 refactors and add Claude Code tests' (#11 ) from chore/test-suite-repair into main Reviewed-on: #11	2026-05-21 12:38:05 +00:00
Jan-Marlon Leibl	a0d181787c	test: repair test suite after R1-R3 refactors and add Claude Code tests The R1-R3 refactors removed the per-provider handle*Error methods, consolidated validators into validateNumberInRange, renamed Gemini's buildGenerationConfig to buildConfig, and split OpenWebUI's message conversion and response formatting into openwebui-strategies.ts. 44 of 91 existing tests broke as a result. Changes: claude.test.ts (8 -> 13 passing) - Switch error mapping tests from handleAnthropicError to the base normalizeError method. - Update temperature error-message expectation to match the new validateNumberInRange wording. openai.test.ts (16 -> 22 passing) - Same handleOpenAIError -> normalizeError switch. - Add a regression test for the 429+"quota" path that goes through mapProviderError instead of the base mapping. gemini.test.ts (17 -> 27 passing) - Update getInfo expectations to the new default model (gemini-2.5) and provider version 2.0.0. - Switch to normalizeError. - Rename buildGenerationConfig -> buildConfig (renamed during R2). - Update formatCompletionResponse mocks: the @google/genai SDK exposes response.text as a getter rather than walking candidates[0].content.parts. openwebui.test.ts (4 -> 19 passing) - Drop tests for convertMessages / convertMessagesToPrompt / formatChatResponse / formatOllamaResponse / makeRequest: these moved into openwebui-strategies.ts and openwebui-http.ts during R3 and warrant their own test files. - Add error-mapping tests covering the new mapProviderError + providerErrorMessages plumbing. claude-code.test.ts (new, 18 tests) - Constructor accepts subscription mode (empty config). - getInfo advertises subscriptionAuth + requiresLocalCli. - mapProviderError catches ENOENT and "not logged in". - errorForSdkAssistantError covers each documented SDK error code. - buildPrompt handles single-turn pass-through, multi-system combination, multi-turn flattening with role labels, and rejects empty turn lists. Full suite: 100 pass / 0 fail across 5 files.	2026-05-21 14:37:33 +02:00
jleibl	93ef2611c0	Merge pull request 'feat: add ClaudeCodeProvider for subscription users' (#10 ) from feat/claude-code-provider into main Reviewed-on: #10	2026-05-21 12:25:34 +00:00
Jan-Marlon Leibl	c8c579da8b	docs: rewrite README Full rewrite focused on what consumers actually need: install, a working snippet per provider, and the public API surface. Changes vs the previous version: - Document ClaudeCodeProvider, including the subscription-via-CLI auth path that the new provider enables. - Remove the ProviderRegistry section (the class was removed in R1). - Drop the stale Provider Comparison and Detailed Capabilities tables; vendor capabilities and model lists move too fast for a README to track. - Remove the inaccurate Zero Dependencies and Comprehensive Testing claims (post-refactor 44/91 tests need updating). - Refresh default models (Gemini 1.5 -> 2.5) and the package list to match the current build. - Add a brief Architecture note covering the base hooks introduced in R2 and the OpenWebUI strategy split from R3. README is 315 lines (was 701).	2026-05-21 14:25:01 +02:00
Jan-Marlon Leibl	e10ce7f53a	feat: add ClaudeCodeProvider for subscription users Wraps @anthropic-ai/claude-agent-sdk so Claude Pro/Max subscribers (who do not have a console API key) can use this library by authenticating through the local `claude` CLI. Subscribers run `claude login` once and the provider picks up the credentials automatically. Provider behavior: - query() is invoked in single-turn mode (maxTurns: 1, allowedTools: []) to behave as plain text completion by default. Both knobs are configurable for agentic use cases. - Conversation history is flattened to a single prompt with role labels. - doStream() emits text deltas as the SDK yields successive assistant messages. doComplete() accumulates and returns the final result. - SDKAssistantMessageError codes (authentication_failed, billing_error, rate_limit, model_not_found, ...) map to AIErrorType variants. - ClaudeCodeConfig.apiKey is optional — when omitted the SDK falls back to ANTHROPIC_API_KEY or local subscription credentials. The base validator is overridden to allow this. Tradeoffs: - Requires the `claude` CLI installed and logged in on the host. This is not suitable for typical server-side production deployments; it is the official path for subscription accounts. - Higher latency (CLI process spawn) than the direct Anthropic API. - The agent SDK is heavy. Bundle grows ~750KB; bun build now uses --target node so the SDK's Node built-in imports resolve correctly. Wired into PROVIDER_REGISTRY ('claude-code'), createClaudeCodeProvider, SUPPORTED_PROVIDERS, and re-exported from the package entry.	2026-05-21 14:16:11 +02:00
Jan-Marlon Leibl	6298a0027d	chore(release): 2.0.1 Patch release covering three internal refactors (see PRs #7, #8, #9): - Extract shared constants, parameterize validators, simplify factory - Pull validateConnection / validateModelName / error mapping into base - Split OpenWebUI into strategy classes by backend Public API surface and method signatures are unchanged. A handful of error message strings were reworded (error type and status code remain identical), and BaseAIProvider gained new protected hooks with no-op defaults.	2026-05-21 13:54:31 +02:00
jleibl	8e430b2659	Merge pull request 'refactor: split OpenWebUI into strategy classes by backend' (#9 ) from refactor/openwebui-strategy-split into main Reviewed-on: #9	2026-05-21 11:51:34 +00:00
Jan-Marlon Leibl	3d985a95a8	refactor: split OpenWebUI into strategy classes by backend Replace Conditional with Polymorphism from the Refactoring Guru catalog. The OpenWebUIProvider previously contained two parallel implementations (completeWithChat / completeWithOllama, streamWithChat / streamWithOllama, plus branching in validateConnection) selected by a `useOllamaProxy` boolean. The 987-line file is split into: - openwebui-types.ts wire-format response types - openwebui-http.ts shared HTTP client (auth, timeout) - openwebui-strategies.ts OpenWebUIStrategy interface plus OpenWebUIChatStrategy and OpenWebUIOllamaStrategy implementations - openwebui.ts thin provider that picks one strategy at construction and delegates OpenWebUIProvider and OpenWebUIConfig (including useOllamaProxy) stay in their original locations, so consumer imports are unchanged. Side effects: - Error mapping now goes through the base mapProviderError / providerErrorMessages hooks added in R2, removing handleOpenWebUIError and its duplicated status switch. - providerInfo.version bumped to 2.0.0 to reflect the rewrite.	2026-05-21 13:51:08 +02:00
jleibl	eacd76d259	Merge pull request 'refactor: pull validateConnection / validateModelName / error mapping into base' (#8 ) from refactor/template-method-pullup into main Reviewed-on: #8	2026-05-21 11:46:55 +00:00
Jan-Marlon Leibl	b36d57711b	refactor: pull validateConnection / validateModelName / error mapping into base Form Template Method / Pull Up Method from the Refactoring Guru catalog. The three SDK-based providers (Claude, OpenAI, Gemini) each had their own near-identical implementations of: - validateConnection: try a tiny request, catch errors, map a handful of patterns, warn on the rest - validateModelName: iterate regex patterns, warn on no match - handle{X}Error: switch on HTTP status, map to AIProviderError with brand-flavored messages These collapse into three protected hooks on BaseAIProvider: - getModelNamePatterns(): RegExp[] - sendValidationProbe(): Promise<void> - mapProviderError(error): AIProviderError \| null - providerErrorMessages(): Partial<Record<number, string>> The base owns the wrapping logic (warning, status -> error-type map, common message patterns). Providers only contribute their unique parts. Side effects: - normalizeError now consults mapProviderError before generic mapping, so provider-specific patterns work via the existing try/catch in BaseAIProvider.complete/stream. The per-provider try/catch wrappers around doComplete/doStream are removed. - The unknown-error message becomes `${providerName} error: ${msg}` instead of the hardcoded `Provider error:` / `Claude API error:` etc. - OpenWebUI's HTTP-based validateConnection is preserved (override), since its non-SDK shape doesn't fit the SDK probe pattern.	2026-05-21 13:43:07 +02:00
jleibl	8e73296ac2	Merge pull request 'refactor: extract constants, parameterize validators, simplify factory' (#7 ) from refactor/quick-wins-factory-validators-constants into main Reviewed-on: #7	2026-05-21 11:36:34 +00:00
Jan-Marlon Leibl	bb37e61eaf	refactor: extract constants, parameterize validators, simplify factory Quick-win refactors from the Refactoring Guru catalog: - Replace Magic Number with Symbolic Constant: extract DEFAULT_TIMEOUT_MS, DEFAULT_MAX_RETRIES, DEFAULT_MAX_TOKENS, DEFAULT_TEMPERATURE, default models per provider, and validation prompt into src/constants.ts. - Parameterize Method: collapse validateTemperature / validateTopP / validateMaxTokens (and the inline timeout/maxRetries checks) into a single validateNumberInRange helper with bounds metadata. - Inline Class / Remove Middle Man: drop the unused ProviderRegistry class from utils/factory.ts. createProvider now dispatches through the PROVIDER_REGISTRY const directly instead of a parallel switch. Also fixes stale VERSION constant in src/index.ts (was 1.3.1).	2026-05-21 13:35:12 +02:00