Merge commit 'd803bfe2b1fe7f5e219e50ac20d6801a0a58ac75' as 'vendor/ruvector'

vendor/ruvector/npm/packages/ruvbot/src/integration/index.d.ts.map

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vendor/ruvector/npm/packages/ruvbot/src/integration/index.js.map

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vendor/ruvector/npm/packages/ruvbot/src/integration/index.ts

@@ -0,0 +1,9 @@
+/**
+ * Integration Context - Slack, Webhooks, Providers
+ *
+ * External system connectivity and protocol adapters.
+ */
+
+export * from './slack';
+export * from './webhooks';
+export * from './providers';

vendor/ruvector/npm/packages/ruvbot/src/integration/providers/AnthropicProvider.d.ts

@@ -0,0 +1,48 @@
+/**
+ * AnthropicProvider - Anthropic Claude LLM Integration
+ *
+ * Provides Claude AI models (claude-3-opus, claude-3-sonnet, claude-3-haiku)
+ * with streaming, tool use, and full API support.
+ */
+import type { LLMProvider, Message, CompletionOptions, StreamOptions, Completion, Token, ModelInfo } from './index.js';
+export interface AnthropicConfig {
+    apiKey: string;
+    baseUrl?: string;
+    model?: string;
+    maxRetries?: number;
+    timeout?: number;
+}
+export type AnthropicModel = 'claude-opus-4-20250514' | 'claude-sonnet-4-20250514' | 'claude-3-5-sonnet-20241022' | 'claude-3-5-haiku-20241022' | 'claude-3-opus-20240229' | 'claude-3-sonnet-20240229' | 'claude-3-haiku-20240307';
+export declare class AnthropicProvider implements LLMProvider {
+    private readonly config;
+    private readonly model;
+    constructor(config: AnthropicConfig);
+    /**
+     * Complete a conversation
+     */
+    complete(messages: Message[], options?: CompletionOptions): Promise<Completion>;
+    /**
+     * Stream a conversation
+     */
+    stream(messages: Message[], options?: StreamOptions): AsyncGenerator<Token, Completion, void>;
+    /**
+     * Count tokens in text
+     */
+    countTokens(text: string): Promise<number>;
+    /**
+     * Get model info
+     */
+    getModel(): ModelInfo;
+    /**
+     * Check provider health
+     */
+    isHealthy(): Promise<boolean>;
+    private convertMessages;
+    private convertTools;
+    private convertResponse;
+    private makeRequest;
+    private makeStreamRequest;
+}
+export declare function createAnthropicProvider(config: AnthropicConfig): AnthropicProvider;
+export default AnthropicProvider;
+//# sourceMappingURL=AnthropicProvider.d.ts.map

vendor/ruvector/npm/packages/ruvbot/src/integration/providers/AnthropicProvider.d.ts.map

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vendor/ruvector/npm/packages/ruvbot/src/integration/providers/AnthropicProvider.js

@@ -0,0 +1,295 @@
+"use strict";
+/**
+ * AnthropicProvider - Anthropic Claude LLM Integration
+ *
+ * Provides Claude AI models (claude-3-opus, claude-3-sonnet, claude-3-haiku)
+ * with streaming, tool use, and full API support.
+ */
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.AnthropicProvider = void 0;
+exports.createAnthropicProvider = createAnthropicProvider;
+// ============================================================================
+// Model Info
+// ============================================================================
+const MODEL_INFO = {
+    'claude-opus-4-20250514': {
+        id: 'claude-opus-4-20250514',
+        name: 'Claude Opus 4',
+        maxTokens: 32768,
+        contextWindow: 200000,
+    },
+    'claude-sonnet-4-20250514': {
+        id: 'claude-sonnet-4-20250514',
+        name: 'Claude Sonnet 4',
+        maxTokens: 16384,
+        contextWindow: 200000,
+    },
+    'claude-3-5-sonnet-20241022': {
+        id: 'claude-3-5-sonnet-20241022',
+        name: 'Claude 3.5 Sonnet',
+        maxTokens: 8192,
+        contextWindow: 200000,
+    },
+    'claude-3-5-haiku-20241022': {
+        id: 'claude-3-5-haiku-20241022',
+        name: 'Claude 3.5 Haiku',
+        maxTokens: 8192,
+        contextWindow: 200000,
+    },
+    'claude-3-opus-20240229': {
+        id: 'claude-3-opus-20240229',
+        name: 'Claude 3 Opus',
+        maxTokens: 4096,
+        contextWindow: 200000,
+    },
+    'claude-3-sonnet-20240229': {
+        id: 'claude-3-sonnet-20240229',
+        name: 'Claude 3 Sonnet',
+        maxTokens: 4096,
+        contextWindow: 200000,
+    },
+    'claude-3-haiku-20240307': {
+        id: 'claude-3-haiku-20240307',
+        name: 'Claude 3 Haiku',
+        maxTokens: 4096,
+        contextWindow: 200000,
+    },
+};
+// ============================================================================
+// AnthropicProvider Implementation
+// ============================================================================
+class AnthropicProvider {
+    constructor(config) {
+        this.config = {
+            apiKey: config.apiKey,
+            baseUrl: config.baseUrl ?? 'https://api.anthropic.com',
+            model: config.model ?? 'claude-3-5-sonnet-20241022',
+            maxRetries: config.maxRetries ?? 3,
+            timeout: config.timeout ?? 60000,
+        };
+        this.model = this.config.model;
+    }
+    /**
+     * Complete a conversation
+     */
+    async complete(messages, options) {
+        const response = await this.makeRequest('/v1/messages', {
+            model: this.model,
+            max_tokens: options?.maxTokens ?? MODEL_INFO[this.model].maxTokens,
+            temperature: options?.temperature ?? 1.0,
+            top_p: options?.topP,
+            stop_sequences: options?.stopSequences,
+            messages: this.convertMessages(messages),
+            tools: options?.tools ? this.convertTools(options.tools) : undefined,
+        });
+        return this.convertResponse(response);
+    }
+    /**
+     * Stream a conversation
+     */
+    async *stream(messages, options) {
+        const response = await this.makeStreamRequest('/v1/messages', {
+            model: this.model,
+            max_tokens: options?.maxTokens ?? MODEL_INFO[this.model].maxTokens,
+            temperature: options?.temperature ?? 1.0,
+            top_p: options?.topP,
+            stop_sequences: options?.stopSequences,
+            messages: this.convertMessages(messages),
+            tools: options?.tools ? this.convertTools(options.tools) : undefined,
+            stream: true,
+        });
+        let fullContent = '';
+        let inputTokens = 0;
+        let outputTokens = 0;
+        const toolCalls = [];
+        let finishReason = 'stop';
+        for await (const event of response) {
+            if (event.type === 'content_block_delta' && event.delta?.text) {
+                fullContent += event.delta.text;
+                options?.onToken?.(event.delta.text);
+                yield { type: 'text', text: event.delta.text };
+            }
+            else if (event.type === 'message_delta') {
+                if (event.usage?.output_tokens) {
+                    outputTokens = event.usage.output_tokens;
+                }
+                if (event.message?.stop_reason === 'tool_use') {
+                    finishReason = 'tool_use';
+                }
+            }
+            else if (event.type === 'message_start' && event.message?.usage) {
+                inputTokens = event.message.usage.input_tokens;
+            }
+        }
+        return {
+            content: fullContent,
+            finishReason,
+            usage: { inputTokens, outputTokens },
+            toolCalls: toolCalls.length > 0 ? toolCalls : undefined,
+        };
+    }
+    /**
+     * Count tokens in text
+     */
+    async countTokens(text) {
+        // Approximate token count (Claude uses ~4 chars per token on average)
+        return Math.ceil(text.length / 4);
+    }
+    /**
+     * Get model info
+     */
+    getModel() {
+        return MODEL_INFO[this.model] ?? MODEL_INFO['claude-3-5-sonnet-20241022'];
+    }
+    /**
+     * Check provider health
+     */
+    async isHealthy() {
+        try {
+            // Simple health check - try to count tokens
+            await this.countTokens('health check');
+            return true;
+        }
+        catch {
+            return false;
+        }
+    }
+    // ==========================================================================
+    // Private Methods
+    // ==========================================================================
+    convertMessages(messages) {
+        const anthropicMessages = [];
+        let systemPrompt = '';
+        for (const msg of messages) {
+            if (msg.role === 'system') {
+                systemPrompt += (systemPrompt ? '\n' : '') + msg.content;
+            }
+            else {
+                anthropicMessages.push({
+                    role: msg.role,
+                    content: msg.content,
+                });
+            }
+        }
+        // Prepend system prompt to first user message if exists
+        if (systemPrompt && anthropicMessages.length > 0 && anthropicMessages[0].role === 'user') {
+            const firstContent = anthropicMessages[0].content;
+            if (typeof firstContent === 'string') {
+                anthropicMessages[0].content = `${systemPrompt}\n\n${firstContent}`;
+            }
+        }
+        return anthropicMessages;
+    }
+    convertTools(tools) {
+        return tools.map(tool => ({
+            name: tool.name,
+            description: tool.description,
+            input_schema: tool.parameters,
+        }));
+    }
+    convertResponse(response) {
+        let content = '';
+        const toolCalls = [];
+        for (const block of response.content) {
+            if (block.type === 'text' && block.text) {
+                content += block.text;
+            }
+            else if (block.type === 'tool_use' && block.id && block.name) {
+                toolCalls.push({
+                    id: block.id,
+                    name: block.name,
+                    input: block.input ?? {},
+                });
+            }
+        }
+        let finishReason = 'stop';
+        if (response.stop_reason === 'max_tokens')
+            finishReason = 'length';
+        if (response.stop_reason === 'tool_use')
+            finishReason = 'tool_use';
+        return {
+            content,
+            finishReason,
+            usage: {
+                inputTokens: response.usage.input_tokens,
+                outputTokens: response.usage.output_tokens,
+            },
+            toolCalls: toolCalls.length > 0 ? toolCalls : undefined,
+        };
+    }
+    async makeRequest(endpoint, body) {
+        const url = `${this.config.baseUrl}${endpoint}`;
+        const response = await fetch(url, {
+            method: 'POST',
+            headers: {
+                'Content-Type': 'application/json',
+                'x-api-key': this.config.apiKey,
+                'anthropic-version': '2023-06-01',
+            },
+            body: JSON.stringify(body),
+            signal: AbortSignal.timeout(this.config.timeout),
+        });
+        if (!response.ok) {
+            const error = await response.text();
+            throw new Error(`Anthropic API error: ${response.status} - ${error}`);
+        }
+        return response.json();
+    }
+    async *makeStreamRequest(endpoint, body) {
+        const url = `${this.config.baseUrl}${endpoint}`;
+        const response = await fetch(url, {
+            method: 'POST',
+            headers: {
+                'Content-Type': 'application/json',
+                'x-api-key': this.config.apiKey,
+                'anthropic-version': '2023-06-01',
+            },
+            body: JSON.stringify(body),
+        });
+        if (!response.ok) {
+            const error = await response.text();
+            throw new Error(`Anthropic API error: ${response.status} - ${error}`);
+        }
+        const reader = response.body?.getReader();
+        if (!reader) {
+            throw new Error('No response body');
+        }
+        const decoder = new TextDecoder();
+        let buffer = '';
+        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) {
+                    if (line.startsWith('data: ')) {
+                        const data = line.slice(6);
+                        if (data === '[DONE]')
+                            return;
+                        try {
+                            yield JSON.parse(data);
+                        }
+                        catch {
+                            // Skip invalid JSON
+                        }
+                    }
+                }
+            }
+        }
+        finally {
+            reader.releaseLock();
+        }
+    }
+}
+exports.AnthropicProvider = AnthropicProvider;
+// ============================================================================
+// Factory Function
+// ============================================================================
+function createAnthropicProvider(config) {
+    return new AnthropicProvider(config);
+}
+exports.default = AnthropicProvider;
+//# sourceMappingURL=AnthropicProvider.js.map

vendor/ruvector/npm/packages/ruvbot/src/integration/providers/AnthropicProvider.ts

@@ -0,0 +1,404 @@
+/**
+ * AnthropicProvider - Anthropic Claude LLM Integration
+ *
+ * Provides Claude AI models (claude-3-opus, claude-3-sonnet, claude-3-haiku)
+ * with streaming, tool use, and full API support.
+ */
+
+import type {
+  LLMProvider,
+  Message,
+  CompletionOptions,
+  StreamOptions,
+  Completion,
+  Token,
+  ModelInfo,
+  Tool,
+  ToolCall,
+} from './index.js';
+
+// ============================================================================
+// Types
+// ============================================================================
+
+export interface AnthropicConfig {
+  apiKey: string;
+  baseUrl?: string;
+  model?: string;
+  maxRetries?: number;
+  timeout?: number;
+}
+
+export type AnthropicModel =
+  | 'claude-opus-4-20250514'
+  | 'claude-sonnet-4-20250514'
+  | 'claude-3-5-sonnet-20241022'
+  | 'claude-3-5-haiku-20241022'
+  | 'claude-3-opus-20240229'
+  | 'claude-3-sonnet-20240229'
+  | 'claude-3-haiku-20240307';
+
+interface AnthropicMessage {
+  role: 'user' | 'assistant';
+  content: string | AnthropicContent[];
+}
+
+interface AnthropicContent {
+  type: 'text' | 'tool_use' | 'tool_result';
+  text?: string;
+  id?: string;
+  name?: string;
+  input?: Record<string, unknown>;
+}
+
+interface AnthropicTool {
+  name: string;
+  description: string;
+  input_schema: Record<string, unknown>;
+}
+
+interface AnthropicResponse {
+  id: string;
+  type: 'message';
+  role: 'assistant';
+  content: AnthropicContent[];
+  model: string;
+  stop_reason: 'end_turn' | 'max_tokens' | 'stop_sequence' | 'tool_use';
+  stop_sequence?: string;
+  usage: {
+    input_tokens: number;
+    output_tokens: number;
+  };
+}
+
+interface AnthropicStreamEvent {
+  type: string;
+  index?: number;
+  delta?: {
+    type: string;
+    text?: string;
+    partial_json?: string;
+  };
+  content_block?: AnthropicContent;
+  message?: AnthropicResponse;
+  usage?: {
+    input_tokens?: number;
+    output_tokens?: number;
+  };
+}
+
+// ============================================================================
+// Model Info
+// ============================================================================
+
+const MODEL_INFO: Record<AnthropicModel, ModelInfo> = {
+  'claude-opus-4-20250514': {
+    id: 'claude-opus-4-20250514',
+    name: 'Claude Opus 4',
+    maxTokens: 32768,
+    contextWindow: 200000,
+  },
+  'claude-sonnet-4-20250514': {
+    id: 'claude-sonnet-4-20250514',
+    name: 'Claude Sonnet 4',
+    maxTokens: 16384,
+    contextWindow: 200000,
+  },
+  'claude-3-5-sonnet-20241022': {
+    id: 'claude-3-5-sonnet-20241022',
+    name: 'Claude 3.5 Sonnet',
+    maxTokens: 8192,
+    contextWindow: 200000,
+  },
+  'claude-3-5-haiku-20241022': {
+    id: 'claude-3-5-haiku-20241022',
+    name: 'Claude 3.5 Haiku',
+    maxTokens: 8192,
+    contextWindow: 200000,
+  },
+  'claude-3-opus-20240229': {
+    id: 'claude-3-opus-20240229',
+    name: 'Claude 3 Opus',
+    maxTokens: 4096,
+    contextWindow: 200000,
+  },
+  'claude-3-sonnet-20240229': {
+    id: 'claude-3-sonnet-20240229',
+    name: 'Claude 3 Sonnet',
+    maxTokens: 4096,
+    contextWindow: 200000,
+  },
+  'claude-3-haiku-20240307': {
+    id: 'claude-3-haiku-20240307',
+    name: 'Claude 3 Haiku',
+    maxTokens: 4096,
+    contextWindow: 200000,
+  },
+};
+
+// ============================================================================
+// AnthropicProvider Implementation
+// ============================================================================
+
+export class AnthropicProvider implements LLMProvider {
+  private readonly config: Required<AnthropicConfig>;
+  private readonly model: AnthropicModel;
+
+  constructor(config: AnthropicConfig) {
+    this.config = {
+      apiKey: config.apiKey,
+      baseUrl: config.baseUrl ?? 'https://api.anthropic.com',
+      model: config.model ?? 'claude-3-5-sonnet-20241022',
+      maxRetries: config.maxRetries ?? 3,
+      timeout: config.timeout ?? 60000,
+    };
+    this.model = this.config.model as AnthropicModel;
+  }
+
+  /**
+   * Complete a conversation
+   */
+  async complete(messages: Message[], options?: CompletionOptions): Promise<Completion> {
+    const response = await this.makeRequest<AnthropicResponse>('/v1/messages', {
+      model: this.model,
+      max_tokens: options?.maxTokens ?? MODEL_INFO[this.model].maxTokens,
+      temperature: options?.temperature ?? 1.0,
+      top_p: options?.topP,
+      stop_sequences: options?.stopSequences,
+      messages: this.convertMessages(messages),
+      tools: options?.tools ? this.convertTools(options.tools) : undefined,
+    });
+
+    return this.convertResponse(response);
+  }
+
+  /**
+   * Stream a conversation
+   */
+  async *stream(messages: Message[], options?: StreamOptions): AsyncGenerator<Token, Completion, void> {
+    const response = await this.makeStreamRequest('/v1/messages', {
+      model: this.model,
+      max_tokens: options?.maxTokens ?? MODEL_INFO[this.model].maxTokens,
+      temperature: options?.temperature ?? 1.0,
+      top_p: options?.topP,
+      stop_sequences: options?.stopSequences,
+      messages: this.convertMessages(messages),
+      tools: options?.tools ? this.convertTools(options.tools) : undefined,
+      stream: true,
+    });
+
+    let fullContent = '';
+    let inputTokens = 0;
+    let outputTokens = 0;
+    const toolCalls: ToolCall[] = [];
+    let finishReason: Completion['finishReason'] = 'stop';
+
+    for await (const event of response) {
+      if (event.type === 'content_block_delta' && event.delta?.text) {
+        fullContent += event.delta.text;
+        options?.onToken?.(event.delta.text);
+        yield { type: 'text', text: event.delta.text };
+      } else if (event.type === 'message_delta') {
+        if (event.usage?.output_tokens) {
+          outputTokens = event.usage.output_tokens;
+        }
+        if (event.message?.stop_reason === 'tool_use') {
+          finishReason = 'tool_use';
+        }
+      } else if (event.type === 'message_start' && event.message?.usage) {
+        inputTokens = event.message.usage.input_tokens;
+      }
+    }
+
+    return {
+      content: fullContent,
+      finishReason,
+      usage: { inputTokens, outputTokens },
+      toolCalls: toolCalls.length > 0 ? toolCalls : undefined,
+    };
+  }
+
+  /**
+   * Count tokens in text
+   */
+  async countTokens(text: string): Promise<number> {
+    // Approximate token count (Claude uses ~4 chars per token on average)
+    return Math.ceil(text.length / 4);
+  }
+
+  /**
+   * Get model info
+   */
+  getModel(): ModelInfo {
+    return MODEL_INFO[this.model] ?? MODEL_INFO['claude-3-5-sonnet-20241022'];
+  }
+
+  /**
+   * Check provider health
+   */
+  async isHealthy(): Promise<boolean> {
+    try {
+      // Simple health check - try to count tokens
+      await this.countTokens('health check');
+      return true;
+    } catch {
+      return false;
+    }
+  }
+
+  // ==========================================================================
+  // Private Methods
+  // ==========================================================================
+
+  private convertMessages(messages: Message[]): AnthropicMessage[] {
+    const anthropicMessages: AnthropicMessage[] = [];
+    let systemPrompt = '';
+
+    for (const msg of messages) {
+      if (msg.role === 'system') {
+        systemPrompt += (systemPrompt ? '\n' : '') + msg.content;
+      } else {
+        anthropicMessages.push({
+          role: msg.role,
+          content: msg.content,
+        });
+      }
+    }
+
+    // Prepend system prompt to first user message if exists
+    if (systemPrompt && anthropicMessages.length > 0 && anthropicMessages[0].role === 'user') {
+      const firstContent = anthropicMessages[0].content;
+      if (typeof firstContent === 'string') {
+        anthropicMessages[0].content = `${systemPrompt}\n\n${firstContent}`;
+      }
+    }
+
+    return anthropicMessages;
+  }
+
+  private convertTools(tools: Tool[]): AnthropicTool[] {
+    return tools.map(tool => ({
+      name: tool.name,
+      description: tool.description,
+      input_schema: tool.parameters,
+    }));
+  }
+
+  private convertResponse(response: AnthropicResponse): Completion {
+    let content = '';
+    const toolCalls: ToolCall[] = [];
+
+    for (const block of response.content) {
+      if (block.type === 'text' && block.text) {
+        content += block.text;
+      } else if (block.type === 'tool_use' && block.id && block.name) {
+        toolCalls.push({
+          id: block.id,
+          name: block.name,
+          input: block.input ?? {},
+        });
+      }
+    }
+
+    let finishReason: Completion['finishReason'] = 'stop';
+    if (response.stop_reason === 'max_tokens') finishReason = 'length';
+    if (response.stop_reason === 'tool_use') finishReason = 'tool_use';
+
+    return {
+      content,
+      finishReason,
+      usage: {
+        inputTokens: response.usage.input_tokens,
+        outputTokens: response.usage.output_tokens,
+      },
+      toolCalls: toolCalls.length > 0 ? toolCalls : undefined,
+    };
+  }
+
+  private async makeRequest<T>(endpoint: string, body: Record<string, unknown>): Promise<T> {
+    const url = `${this.config.baseUrl}${endpoint}`;
+
+    const response = await fetch(url, {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+        'x-api-key': this.config.apiKey,
+        'anthropic-version': '2023-06-01',
+      },
+      body: JSON.stringify(body),
+      signal: AbortSignal.timeout(this.config.timeout),
+    });
+
+    if (!response.ok) {
+      const error = await response.text();
+      throw new Error(`Anthropic API error: ${response.status} - ${error}`);
+    }
+
+    return response.json() as Promise<T>;
+  }
+
+  private async *makeStreamRequest(
+    endpoint: string,
+    body: Record<string, unknown>
+  ): AsyncGenerator<AnthropicStreamEvent, void, void> {
+    const url = `${this.config.baseUrl}${endpoint}`;
+
+    const response = await fetch(url, {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+        'x-api-key': this.config.apiKey,
+        'anthropic-version': '2023-06-01',
+      },
+      body: JSON.stringify(body),
+    });
+
+    if (!response.ok) {
+      const error = await response.text();
+      throw new Error(`Anthropic API error: ${response.status} - ${error}`);
+    }
+
+    const reader = response.body?.getReader();
+    if (!reader) {
+      throw new Error('No response body');
+    }
+
+    const decoder = new TextDecoder();
+    let buffer = '';
+
+    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) {
+          if (line.startsWith('data: ')) {
+            const data = line.slice(6);
+            if (data === '[DONE]') return;
+            try {
+              yield JSON.parse(data) as AnthropicStreamEvent;
+            } catch {
+              // Skip invalid JSON
+            }
+          }
+        }
+      }
+    } finally {
+      reader.releaseLock();
+    }
+  }
+}
+
+// ============================================================================
+// Factory Function
+// ============================================================================
+
+export function createAnthropicProvider(config: AnthropicConfig): AnthropicProvider {
+  return new AnthropicProvider(config);
+}
+
+export default AnthropicProvider;

vendor/ruvector/npm/packages/ruvbot/src/integration/providers/GoogleAIProvider.d.ts

@@ -0,0 +1,32 @@
+/**
+ * GoogleAIProvider - Google AI (Gemini) LLM Integration
+ *
+ * Provides direct access to Google's Gemini models using the Google AI API.
+ * Supports both API key authentication and Google Cloud default credentials.
+ */
+import type { LLMProvider, Message, CompletionOptions, StreamOptions, Completion, Token, ModelInfo } from './index.js';
+export interface GoogleAIConfig {
+    apiKey?: string;
+    projectId?: string;
+    location?: string;
+    model?: string;
+    maxRetries?: number;
+    timeout?: number;
+}
+export type GoogleAIModel = 'gemini-3-pro-preview' | 'gemini-3-flash-preview' | 'gemini-2.5-pro' | 'gemini-2.5-flash' | 'gemini-2.5-flash-lite' | 'gemini-2.5-flash-image' | 'gemini-2.0-flash' | 'gemini-2.0-flash-lite' | 'gemini-1.5-pro' | 'gemini-1.5-flash' | 'gemini-1.5-flash-8b' | string;
+export declare class GoogleAIProvider implements LLMProvider {
+    private readonly config;
+    private readonly baseUrl;
+    private readonly modelId;
+    constructor(config: GoogleAIConfig);
+    complete(messages: Message[], options?: CompletionOptions): Promise<Completion>;
+    stream(messages: Message[], options?: StreamOptions): AsyncGenerator<Token, Completion, void>;
+    countTokens(text: string): Promise<number>;
+    getModel(): ModelInfo;
+    isHealthy(): Promise<boolean>;
+    private convertMessages;
+    private extractSystemInstruction;
+    private mapFinishReason;
+}
+export declare function createGoogleAIProvider(config: GoogleAIConfig): LLMProvider;
+//# sourceMappingURL=GoogleAIProvider.d.ts.map

vendor/ruvector/npm/packages/ruvbot/src/integration/providers/GoogleAIProvider.d.ts.map

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vendor/ruvector/npm/packages/ruvbot/src/integration/providers/GoogleAIProvider.js

@@ -0,0 +1,296 @@
+"use strict";
+/**
+ * GoogleAIProvider - Google AI (Gemini) LLM Integration
+ *
+ * Provides direct access to Google's Gemini models using the Google AI API.
+ * Supports both API key authentication and Google Cloud default credentials.
+ */
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.GoogleAIProvider = void 0;
+exports.createGoogleAIProvider = createGoogleAIProvider;
+// ============================================================================
+// Model Info
+// ============================================================================
+const MODEL_INFO = {
+    // Gemini 3.x models (preview)
+    'gemini-3-pro-preview': {
+        id: 'gemini-3-pro-preview',
+        name: 'Gemini 3 Pro Preview',
+        maxTokens: 65536,
+        contextWindow: 1000000,
+    },
+    'gemini-3-flash-preview': {
+        id: 'gemini-3-flash-preview',
+        name: 'Gemini 3 Flash Preview',
+        maxTokens: 65536,
+        contextWindow: 1000000,
+    },
+    // Gemini 2.5 models (stable)
+    'gemini-2.5-pro': {
+        id: 'gemini-2.5-pro',
+        name: 'Gemini 2.5 Pro',
+        maxTokens: 65536,
+        contextWindow: 1000000,
+    },
+    'gemini-2.5-flash': {
+        id: 'gemini-2.5-flash',
+        name: 'Gemini 2.5 Flash',
+        maxTokens: 65536,
+        contextWindow: 1000000,
+    },
+    'gemini-2.5-flash-lite': {
+        id: 'gemini-2.5-flash-lite',
+        name: 'Gemini 2.5 Flash Lite',
+        maxTokens: 65536,
+        contextWindow: 1000000,
+    },
+    'gemini-2.5-flash-image': {
+        id: 'gemini-2.5-flash-image',
+        name: 'Gemini 2.5 Flash Image',
+        maxTokens: 65536,
+        contextWindow: 1000000,
+    },
+    // Gemini 2.0 models (deprecated March 2026)
+    'gemini-2.0-flash': {
+        id: 'gemini-2.0-flash',
+        name: 'Gemini 2.0 Flash',
+        maxTokens: 8192,
+        contextWindow: 1000000,
+    },
+    'gemini-2.0-flash-lite': {
+        id: 'gemini-2.0-flash-lite',
+        name: 'Gemini 2.0 Flash Lite',
+        maxTokens: 8192,
+        contextWindow: 1000000,
+    },
+    // Gemini 1.5 models
+    'gemini-1.5-pro': {
+        id: 'gemini-1.5-pro',
+        name: 'Gemini 1.5 Pro',
+        maxTokens: 8192,
+        contextWindow: 2000000,
+    },
+    'gemini-1.5-flash': {
+        id: 'gemini-1.5-flash',
+        name: 'Gemini 1.5 Flash',
+        maxTokens: 8192,
+        contextWindow: 1000000,
+    },
+    'gemini-1.5-flash-8b': {
+        id: 'gemini-1.5-flash-8b',
+        name: 'Gemini 1.5 Flash 8B',
+        maxTokens: 8192,
+        contextWindow: 1000000,
+    },
+};
+// ============================================================================
+// Provider Implementation
+// ============================================================================
+class GoogleAIProvider {
+    constructor(config) {
+        this.config = {
+            apiKey: config.apiKey || process.env.GOOGLE_AI_API_KEY || process.env.GEMINI_API_KEY || '',
+            projectId: config.projectId || process.env.GOOGLE_CLOUD_PROJECT || '',
+            location: config.location || 'us-central1',
+            model: config.model || 'gemini-2.0-flash',
+            maxRetries: config.maxRetries ?? 3,
+            timeout: config.timeout ?? 60000,
+        };
+        this.modelId = this.config.model;
+        this.baseUrl = 'https://generativelanguage.googleapis.com/v1beta';
+    }
+    async complete(messages, options) {
+        const geminiMessages = this.convertMessages(messages);
+        const systemInstruction = this.extractSystemInstruction(messages);
+        const requestBody = {
+            contents: geminiMessages,
+            generationConfig: {
+                temperature: options?.temperature ?? 0.7,
+                maxOutputTokens: options?.maxTokens ?? 4096,
+                topP: options?.topP ?? 0.95,
+            },
+        };
+        if (systemInstruction) {
+            requestBody.systemInstruction = {
+                parts: [{ text: systemInstruction }],
+            };
+        }
+        if (options?.tools && options.tools.length > 0) {
+            requestBody.tools = [{
+                    functionDeclarations: options.tools.map(tool => ({
+                        name: tool.name,
+                        description: tool.description,
+                        parameters: tool.parameters,
+                    })),
+                }];
+        }
+        const url = `${this.baseUrl}/models/${this.modelId}:generateContent?key=${this.config.apiKey}`;
+        let lastError = null;
+        for (let attempt = 0; attempt < this.config.maxRetries; attempt++) {
+            try {
+                const response = await fetch(url, {
+                    method: 'POST',
+                    headers: { 'Content-Type': 'application/json' },
+                    body: JSON.stringify(requestBody),
+                    signal: AbortSignal.timeout(this.config.timeout),
+                });
+                if (!response.ok) {
+                    const errorText = await response.text();
+                    throw new Error(`Google AI API error (${response.status}): ${errorText}`);
+                }
+                const data = await response.json();
+                if (!data.candidates || data.candidates.length === 0) {
+                    throw new Error('No response from Google AI');
+                }
+                const candidate = data.candidates[0];
+                const content = candidate.content.parts.map(p => p.text).join('');
+                const finishReason = this.mapFinishReason(candidate.finishReason);
+                return {
+                    content,
+                    finishReason,
+                    usage: {
+                        inputTokens: data.usageMetadata?.promptTokenCount ?? 0,
+                        outputTokens: data.usageMetadata?.candidatesTokenCount ?? 0,
+                    },
+                };
+            }
+            catch (error) {
+                lastError = error;
+                if (attempt < this.config.maxRetries - 1) {
+                    await new Promise(resolve => setTimeout(resolve, 1000 * (attempt + 1)));
+                }
+            }
+        }
+        throw lastError || new Error('Failed to complete request');
+    }
+    async *stream(messages, options) {
+        const geminiMessages = this.convertMessages(messages);
+        const systemInstruction = this.extractSystemInstruction(messages);
+        const requestBody = {
+            contents: geminiMessages,
+            generationConfig: {
+                temperature: options?.temperature ?? 0.7,
+                maxOutputTokens: options?.maxTokens ?? 4096,
+            },
+        };
+        if (systemInstruction) {
+            requestBody.systemInstruction = {
+                parts: [{ text: systemInstruction }],
+            };
+        }
+        const url = `${this.baseUrl}/models/${this.modelId}:streamGenerateContent?key=${this.config.apiKey}&alt=sse`;
+        const response = await fetch(url, {
+            method: 'POST',
+            headers: { 'Content-Type': 'application/json' },
+            body: JSON.stringify(requestBody),
+        });
+        if (!response.ok) {
+            const errorText = await response.text();
+            throw new Error(`Google AI API error (${response.status}): ${errorText}`);
+        }
+        const reader = response.body?.getReader();
+        if (!reader) {
+            throw new Error('No response body');
+        }
+        const decoder = new TextDecoder();
+        let buffer = '';
+        let fullContent = '';
+        let inputTokens = 0;
+        let outputTokens = 0;
+        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) {
+                    if (line.startsWith('data: ')) {
+                        const data = line.slice(6);
+                        if (data === '[DONE]')
+                            continue;
+                        try {
+                            const json = JSON.parse(data);
+                            if (json.candidates?.[0]?.content?.parts?.[0]?.text) {
+                                const text = json.candidates[0].content.parts[0].text;
+                                fullContent += text;
+                                options?.onToken?.(text);
+                                yield { type: 'text', text };
+                            }
+                            if (json.usageMetadata) {
+                                inputTokens = json.usageMetadata.promptTokenCount;
+                                outputTokens = json.usageMetadata.candidatesTokenCount;
+                            }
+                        }
+                        catch {
+                            // Skip invalid JSON
+                        }
+                    }
+                }
+            }
+        }
+        finally {
+            reader.releaseLock();
+        }
+        return {
+            content: fullContent,
+            finishReason: 'stop',
+            usage: { inputTokens, outputTokens },
+        };
+    }
+    async countTokens(text) {
+        // Approximate token count (Gemini uses ~4 chars per token on average)
+        return Math.ceil(text.length / 4);
+    }
+    getModel() {
+        return MODEL_INFO[this.modelId] ?? {
+            id: this.modelId,
+            name: this.modelId,
+            maxTokens: 8192,
+            contextWindow: 1000000,
+        };
+    }
+    async isHealthy() {
+        try {
+            await this.countTokens('health check');
+            return !!this.config.apiKey;
+        }
+        catch {
+            return false;
+        }
+    }
+    convertMessages(messages) {
+        return messages
+            .filter(m => m.role !== 'system')
+            .map(m => ({
+            role: m.role === 'assistant' ? 'model' : 'user',
+            parts: [{ text: m.content }],
+        }));
+    }
+    extractSystemInstruction(messages) {
+        const systemMessage = messages.find(m => m.role === 'system');
+        return systemMessage?.content || null;
+    }
+    mapFinishReason(reason) {
+        switch (reason) {
+            case 'STOP':
+            case 'END_TURN':
+                return 'stop';
+            case 'MAX_TOKENS':
+                return 'length';
+            case 'TOOL_CALL':
+                return 'tool_use';
+            default:
+                return 'stop';
+        }
+    }
+}
+exports.GoogleAIProvider = GoogleAIProvider;
+// ============================================================================
+// Factory Function
+// ============================================================================
+function createGoogleAIProvider(config) {
+    return new GoogleAIProvider(config);
+}
+//# sourceMappingURL=GoogleAIProvider.js.map

vendor/ruvector/npm/packages/ruvbot/src/integration/providers/GoogleAIProvider.ts

@@ -0,0 +1,393 @@
+/**
+ * GoogleAIProvider - Google AI (Gemini) LLM Integration
+ *
+ * Provides direct access to Google's Gemini models using the Google AI API.
+ * Supports both API key authentication and Google Cloud default credentials.
+ */
+
+import type {
+  LLMProvider,
+  Message,
+  CompletionOptions,
+  StreamOptions,
+  Completion,
+  Token,
+  ModelInfo,
+  Tool,
+  ToolCall,
+} from './index.js';
+
+// ============================================================================
+// Types
+// ============================================================================
+
+export interface GoogleAIConfig {
+  apiKey?: string;
+  projectId?: string;
+  location?: string;
+  model?: string;
+  maxRetries?: number;
+  timeout?: number;
+}
+
+export type GoogleAIModel =
+  // Gemini 3.x models (preview)
+  | 'gemini-3-pro-preview'
+  | 'gemini-3-flash-preview'
+  // Gemini 2.5 models (stable)
+  | 'gemini-2.5-pro'
+  | 'gemini-2.5-flash'
+  | 'gemini-2.5-flash-lite'
+  | 'gemini-2.5-flash-image'
+  // Gemini 2.0 models (deprecated March 2026)
+  | 'gemini-2.0-flash'
+  | 'gemini-2.0-flash-lite'
+  // Gemini 1.5 models
+  | 'gemini-1.5-pro'
+  | 'gemini-1.5-flash'
+  | 'gemini-1.5-flash-8b'
+  | string;
+
+interface GeminiMessage {
+  role: 'user' | 'model';
+  parts: { text: string }[];
+}
+
+interface GeminiResponse {
+  candidates: {
+    content: {
+      parts: { text: string }[];
+      role: string;
+    };
+    finishReason: string;
+    safetyRatings?: Array<{
+      category: string;
+      probability: string;
+    }>;
+  }[];
+  usageMetadata?: {
+    promptTokenCount: number;
+    candidatesTokenCount: number;
+    totalTokenCount: number;
+  };
+}
+
+// ============================================================================
+// Model Info
+// ============================================================================
+
+const MODEL_INFO: Record<string, ModelInfo> = {
+  // Gemini 3.x models (preview)
+  'gemini-3-pro-preview': {
+    id: 'gemini-3-pro-preview',
+    name: 'Gemini 3 Pro Preview',
+    maxTokens: 65536,
+    contextWindow: 1000000,
+  },
+  'gemini-3-flash-preview': {
+    id: 'gemini-3-flash-preview',
+    name: 'Gemini 3 Flash Preview',
+    maxTokens: 65536,
+    contextWindow: 1000000,
+  },
+  // Gemini 2.5 models (stable)
+  'gemini-2.5-pro': {
+    id: 'gemini-2.5-pro',
+    name: 'Gemini 2.5 Pro',
+    maxTokens: 65536,
+    contextWindow: 1000000,
+  },
+  'gemini-2.5-flash': {
+    id: 'gemini-2.5-flash',
+    name: 'Gemini 2.5 Flash',
+    maxTokens: 65536,
+    contextWindow: 1000000,
+  },
+  'gemini-2.5-flash-lite': {
+    id: 'gemini-2.5-flash-lite',
+    name: 'Gemini 2.5 Flash Lite',
+    maxTokens: 65536,
+    contextWindow: 1000000,
+  },
+  'gemini-2.5-flash-image': {
+    id: 'gemini-2.5-flash-image',
+    name: 'Gemini 2.5 Flash Image',
+    maxTokens: 65536,
+    contextWindow: 1000000,
+  },
+  // Gemini 2.0 models (deprecated March 2026)
+  'gemini-2.0-flash': {
+    id: 'gemini-2.0-flash',
+    name: 'Gemini 2.0 Flash',
+    maxTokens: 8192,
+    contextWindow: 1000000,
+  },
+  'gemini-2.0-flash-lite': {
+    id: 'gemini-2.0-flash-lite',
+    name: 'Gemini 2.0 Flash Lite',
+    maxTokens: 8192,
+    contextWindow: 1000000,
+  },
+  // Gemini 1.5 models
+  'gemini-1.5-pro': {
+    id: 'gemini-1.5-pro',
+    name: 'Gemini 1.5 Pro',
+    maxTokens: 8192,
+    contextWindow: 2000000,
+  },
+  'gemini-1.5-flash': {
+    id: 'gemini-1.5-flash',
+    name: 'Gemini 1.5 Flash',
+    maxTokens: 8192,
+    contextWindow: 1000000,
+  },
+  'gemini-1.5-flash-8b': {
+    id: 'gemini-1.5-flash-8b',
+    name: 'Gemini 1.5 Flash 8B',
+    maxTokens: 8192,
+    contextWindow: 1000000,
+  },
+};
+
+// ============================================================================
+// Provider Implementation
+// ============================================================================
+
+export class GoogleAIProvider implements LLMProvider {
+  private readonly config: Required<GoogleAIConfig>;
+  private readonly baseUrl: string;
+  private readonly modelId: string;
+
+  constructor(config: GoogleAIConfig) {
+    this.config = {
+      apiKey: config.apiKey || process.env.GOOGLE_AI_API_KEY || process.env.GEMINI_API_KEY || '',
+      projectId: config.projectId || process.env.GOOGLE_CLOUD_PROJECT || '',
+      location: config.location || 'us-central1',
+      model: config.model || 'gemini-2.0-flash',
+      maxRetries: config.maxRetries ?? 3,
+      timeout: config.timeout ?? 60000,
+    };
+    this.modelId = this.config.model;
+    this.baseUrl = 'https://generativelanguage.googleapis.com/v1beta';
+  }
+
+  async complete(messages: Message[], options?: CompletionOptions): Promise<Completion> {
+    const geminiMessages = this.convertMessages(messages);
+    const systemInstruction = this.extractSystemInstruction(messages);
+
+    const requestBody: Record<string, unknown> = {
+      contents: geminiMessages,
+      generationConfig: {
+        temperature: options?.temperature ?? 0.7,
+        maxOutputTokens: options?.maxTokens ?? 4096,
+        topP: options?.topP ?? 0.95,
+      },
+    };
+
+    if (systemInstruction) {
+      requestBody.systemInstruction = {
+        parts: [{ text: systemInstruction }],
+      };
+    }
+
+    if (options?.tools && options.tools.length > 0) {
+      requestBody.tools = [{
+        functionDeclarations: options.tools.map(tool => ({
+          name: tool.name,
+          description: tool.description,
+          parameters: tool.parameters,
+        })),
+      }];
+    }
+
+    const url = `${this.baseUrl}/models/${this.modelId}:generateContent?key=${this.config.apiKey}`;
+
+    let lastError: Error | null = null;
+    for (let attempt = 0; attempt < this.config.maxRetries; attempt++) {
+      try {
+        const response = await fetch(url, {
+          method: 'POST',
+          headers: { 'Content-Type': 'application/json' },
+          body: JSON.stringify(requestBody),
+          signal: AbortSignal.timeout(this.config.timeout),
+        });
+
+        if (!response.ok) {
+          const errorText = await response.text();
+          throw new Error(`Google AI API error (${response.status}): ${errorText}`);
+        }
+
+        const data = await response.json() as GeminiResponse;
+
+        if (!data.candidates || data.candidates.length === 0) {
+          throw new Error('No response from Google AI');
+        }
+
+        const candidate = data.candidates[0];
+        const content = candidate.content.parts.map(p => p.text).join('');
+
+        const finishReason = this.mapFinishReason(candidate.finishReason);
+
+        return {
+          content,
+          finishReason,
+          usage: {
+            inputTokens: data.usageMetadata?.promptTokenCount ?? 0,
+            outputTokens: data.usageMetadata?.candidatesTokenCount ?? 0,
+          },
+        };
+      } catch (error) {
+        lastError = error as Error;
+        if (attempt < this.config.maxRetries - 1) {
+          await new Promise(resolve => setTimeout(resolve, 1000 * (attempt + 1)));
+        }
+      }
+    }
+
+    throw lastError || new Error('Failed to complete request');
+  }
+
+  async *stream(messages: Message[], options?: StreamOptions): AsyncGenerator<Token, Completion, void> {
+    const geminiMessages = this.convertMessages(messages);
+    const systemInstruction = this.extractSystemInstruction(messages);
+
+    const requestBody: Record<string, unknown> = {
+      contents: geminiMessages,
+      generationConfig: {
+        temperature: options?.temperature ?? 0.7,
+        maxOutputTokens: options?.maxTokens ?? 4096,
+      },
+    };
+
+    if (systemInstruction) {
+      requestBody.systemInstruction = {
+        parts: [{ text: systemInstruction }],
+      };
+    }
+
+    const url = `${this.baseUrl}/models/${this.modelId}:streamGenerateContent?key=${this.config.apiKey}&alt=sse`;
+
+    const response = await fetch(url, {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json' },
+      body: JSON.stringify(requestBody),
+    });
+
+    if (!response.ok) {
+      const errorText = await response.text();
+      throw new Error(`Google AI API error (${response.status}): ${errorText}`);
+    }
+
+    const reader = response.body?.getReader();
+    if (!reader) {
+      throw new Error('No response body');
+    }
+
+    const decoder = new TextDecoder();
+    let buffer = '';
+    let fullContent = '';
+    let inputTokens = 0;
+    let outputTokens = 0;
+
+    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) {
+          if (line.startsWith('data: ')) {
+            const data = line.slice(6);
+            if (data === '[DONE]') continue;
+
+            try {
+              const json = JSON.parse(data) as GeminiResponse;
+              if (json.candidates?.[0]?.content?.parts?.[0]?.text) {
+                const text = json.candidates[0].content.parts[0].text;
+                fullContent += text;
+                options?.onToken?.(text);
+                yield { type: 'text', text };
+              }
+              if (json.usageMetadata) {
+                inputTokens = json.usageMetadata.promptTokenCount;
+                outputTokens = json.usageMetadata.candidatesTokenCount;
+              }
+            } catch {
+              // Skip invalid JSON
+            }
+          }
+        }
+      }
+    } finally {
+      reader.releaseLock();
+    }
+
+    return {
+      content: fullContent,
+      finishReason: 'stop',
+      usage: { inputTokens, outputTokens },
+    };
+  }
+
+  async countTokens(text: string): Promise<number> {
+    // Approximate token count (Gemini uses ~4 chars per token on average)
+    return Math.ceil(text.length / 4);
+  }
+
+  getModel(): ModelInfo {
+    return MODEL_INFO[this.modelId] ?? {
+      id: this.modelId,
+      name: this.modelId,
+      maxTokens: 8192,
+      contextWindow: 1000000,
+    };
+  }
+
+  async isHealthy(): Promise<boolean> {
+    try {
+      await this.countTokens('health check');
+      return !!this.config.apiKey;
+    } catch {
+      return false;
+    }
+  }
+
+  private convertMessages(messages: Message[]): GeminiMessage[] {
+    return messages
+      .filter(m => m.role !== 'system')
+      .map(m => ({
+        role: m.role === 'assistant' ? 'model' : 'user',
+        parts: [{ text: m.content }],
+      }));
+  }
+
+  private extractSystemInstruction(messages: Message[]): string | null {
+    const systemMessage = messages.find(m => m.role === 'system');
+    return systemMessage?.content || null;
+  }
+
+  private mapFinishReason(reason: string): 'stop' | 'length' | 'tool_use' {
+    switch (reason) {
+      case 'STOP':
+      case 'END_TURN':
+        return 'stop';
+      case 'MAX_TOKENS':
+        return 'length';
+      case 'TOOL_CALL':
+        return 'tool_use';
+      default:
+        return 'stop';
+    }
+  }
+}
+
+// ============================================================================
+// Factory Function
+// ============================================================================
+
+export function createGoogleAIProvider(config: GoogleAIConfig): LLMProvider {
+  return new GoogleAIProvider(config);
+}

vendor/ruvector/npm/packages/ruvbot/src/integration/providers/OpenRouterProvider.d.ts

@@ -0,0 +1,62 @@
+/**
+ * OpenRouterProvider - OpenRouter Multi-Model LLM Integration
+ *
+ * Provides access to multiple LLM providers through OpenRouter,
+ * including Qwen QwQ reasoning models, Claude, GPT-4, and more.
+ */
+import type { LLMProvider, Message, CompletionOptions, StreamOptions, Completion, Token, ModelInfo } from './index.js';
+export interface OpenRouterConfig {
+    apiKey: string;
+    baseUrl?: string;
+    model?: string;
+    siteUrl?: string;
+    siteName?: string;
+    maxRetries?: number;
+    timeout?: number;
+}
+export type OpenRouterModel = 'qwen/qwq-32b' | 'qwen/qwq-32b:free' | 'qwen/qwq-32b-preview' | 'qwen/qwen3-max' | 'qwen/qwen-2.5-72b-instruct' | 'qwen/qwen-2.5-coder-32b-instruct' | 'anthropic/claude-3.5-sonnet' | 'anthropic/claude-3-opus' | 'anthropic/claude-3-haiku' | 'openai/gpt-4-turbo' | 'openai/gpt-4o' | 'openai/o1-preview' | 'openai/o1-mini' | 'google/gemini-2.5-pro-preview-05-06' | 'google/gemini-2.0-flash-001' | 'google/gemini-2.0-flash-lite-001' | 'google/gemini-2.0-flash-thinking-exp:free' | 'google/gemini-pro-1.5' | 'google/gemini-flash-1.5' | 'meta-llama/llama-3.1-405b-instruct' | 'meta-llama/llama-3.1-70b-instruct' | 'deepseek/deepseek-r1' | 'deepseek/deepseek-chat' | string;
+export declare class OpenRouterProvider implements LLMProvider {
+    private readonly config;
+    private readonly model;
+    constructor(config: OpenRouterConfig);
+    /**
+     * Complete a conversation
+     */
+    complete(messages: Message[], options?: CompletionOptions): Promise<Completion>;
+    /**
+     * Stream a conversation
+     */
+    stream(messages: Message[], options?: StreamOptions): AsyncGenerator<Token, Completion, void>;
+    /**
+     * Count tokens in text
+     */
+    countTokens(text: string): Promise<number>;
+    /**
+     * Get model info
+     */
+    getModel(): ModelInfo;
+    /**
+     * Check provider health
+     */
+    isHealthy(): Promise<boolean>;
+    /**
+     * List available models
+     */
+    listModels(): Promise<string[]>;
+    private convertMessages;
+    private convertTools;
+    private convertResponse;
+    private makeRequest;
+    private makeStreamRequest;
+}
+export declare function createOpenRouterProvider(config: OpenRouterConfig): OpenRouterProvider;
+/**
+ * Create a provider for Qwen QwQ reasoning model
+ */
+export declare function createQwQProvider(apiKey: string, free?: boolean): OpenRouterProvider;
+/**
+ * Create a provider for DeepSeek R1 reasoning model
+ */
+export declare function createDeepSeekR1Provider(apiKey: string): OpenRouterProvider;
+export default OpenRouterProvider;
+//# sourceMappingURL=OpenRouterProvider.d.ts.map

vendor/ruvector/npm/packages/ruvbot/src/integration/providers/OpenRouterProvider.d.ts.map

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vendor/ruvector/npm/packages/ruvbot/src/integration/providers/OpenRouterProvider.js

@@ -0,0 +1,450 @@
+"use strict";
+/**
+ * OpenRouterProvider - OpenRouter Multi-Model LLM Integration
+ *
+ * Provides access to multiple LLM providers through OpenRouter,
+ * including Qwen QwQ reasoning models, Claude, GPT-4, and more.
+ */
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.OpenRouterProvider = void 0;
+exports.createOpenRouterProvider = createOpenRouterProvider;
+exports.createQwQProvider = createQwQProvider;
+exports.createDeepSeekR1Provider = createDeepSeekR1Provider;
+// ============================================================================
+// Model Info Registry
+// ============================================================================
+const MODEL_INFO = {
+    // QwQ Reasoning Models
+    'qwen/qwq-32b': {
+        id: 'qwen/qwq-32b',
+        name: 'Qwen QwQ 32B (Reasoning)',
+        maxTokens: 16384,
+        contextWindow: 32768,
+    },
+    'qwen/qwq-32b:free': {
+        id: 'qwen/qwq-32b:free',
+        name: 'Qwen QwQ 32B Free (Reasoning)',
+        maxTokens: 16384,
+        contextWindow: 32768,
+    },
+    'qwen/qwq-32b-preview': {
+        id: 'qwen/qwq-32b-preview',
+        name: 'Qwen QwQ 32B Preview (Reasoning)',
+        maxTokens: 16384,
+        contextWindow: 32768,
+    },
+    // Qwen Standard Models
+    'qwen/qwen3-max': {
+        id: 'qwen/qwen3-max',
+        name: 'Qwen3 Max',
+        maxTokens: 8192,
+        contextWindow: 32768,
+    },
+    'qwen/qwen-2.5-72b-instruct': {
+        id: 'qwen/qwen-2.5-72b-instruct',
+        name: 'Qwen 2.5 72B Instruct',
+        maxTokens: 8192,
+        contextWindow: 32768,
+    },
+    'qwen/qwen-2.5-coder-32b-instruct': {
+        id: 'qwen/qwen-2.5-coder-32b-instruct',
+        name: 'Qwen 2.5 Coder 32B',
+        maxTokens: 8192,
+        contextWindow: 32768,
+    },
+    // Anthropic
+    'anthropic/claude-3.5-sonnet': {
+        id: 'anthropic/claude-3.5-sonnet',
+        name: 'Claude 3.5 Sonnet',
+        maxTokens: 8192,
+        contextWindow: 200000,
+    },
+    'anthropic/claude-3-opus': {
+        id: 'anthropic/claude-3-opus',
+        name: 'Claude 3 Opus',
+        maxTokens: 4096,
+        contextWindow: 200000,
+    },
+    // OpenAI
+    'openai/gpt-4o': {
+        id: 'openai/gpt-4o',
+        name: 'GPT-4o',
+        maxTokens: 16384,
+        contextWindow: 128000,
+    },
+    'openai/o1-preview': {
+        id: 'openai/o1-preview',
+        name: 'O1 Preview (Reasoning)',
+        maxTokens: 32768,
+        contextWindow: 128000,
+    },
+    'openai/o1-mini': {
+        id: 'openai/o1-mini',
+        name: 'O1 Mini (Reasoning)',
+        maxTokens: 65536,
+        contextWindow: 128000,
+    },
+    // DeepSeek
+    'deepseek/deepseek-r1': {
+        id: 'deepseek/deepseek-r1',
+        name: 'DeepSeek R1 (Reasoning)',
+        maxTokens: 8192,
+        contextWindow: 64000,
+    },
+    'deepseek/deepseek-chat': {
+        id: 'deepseek/deepseek-chat',
+        name: 'DeepSeek Chat',
+        maxTokens: 4096,
+        contextWindow: 32000,
+    },
+    // Google Gemini 2.x
+    'google/gemini-2.5-pro-preview-05-06': {
+        id: 'google/gemini-2.5-pro-preview-05-06',
+        name: 'Gemini 2.5 Pro Preview',
+        maxTokens: 65536,
+        contextWindow: 1000000,
+    },
+    'google/gemini-2.0-flash-001': {
+        id: 'google/gemini-2.0-flash-001',
+        name: 'Gemini 2.0 Flash',
+        maxTokens: 8192,
+        contextWindow: 1000000,
+    },
+    'google/gemini-2.0-flash-lite-001': {
+        id: 'google/gemini-2.0-flash-lite-001',
+        name: 'Gemini 2.0 Flash Lite',
+        maxTokens: 8192,
+        contextWindow: 1000000,
+    },
+    'google/gemini-2.0-flash-thinking-exp:free': {
+        id: 'google/gemini-2.0-flash-thinking-exp:free',
+        name: 'Gemini 2.0 Flash Thinking (Free)',
+        maxTokens: 32768,
+        contextWindow: 1000000,
+    },
+    // Google Gemini 1.5
+    'google/gemini-pro-1.5': {
+        id: 'google/gemini-pro-1.5',
+        name: 'Gemini Pro 1.5',
+        maxTokens: 8192,
+        contextWindow: 1000000,
+    },
+    // Meta
+    'meta-llama/llama-3.1-405b-instruct': {
+        id: 'meta-llama/llama-3.1-405b-instruct',
+        name: 'Llama 3.1 405B Instruct',
+        maxTokens: 4096,
+        contextWindow: 128000,
+    },
+};
+// ============================================================================
+// OpenRouterProvider Implementation
+// ============================================================================
+class OpenRouterProvider {
+    constructor(config) {
+        this.config = {
+            apiKey: config.apiKey,
+            baseUrl: config.baseUrl ?? 'https://openrouter.ai/api',
+            model: config.model ?? 'qwen/qwq-32b', // Default to QwQ reasoning model
+            siteUrl: config.siteUrl ?? '',
+            siteName: config.siteName ?? 'RuvBot',
+            maxRetries: config.maxRetries ?? 3,
+            timeout: config.timeout ?? 120000, // Longer timeout for reasoning models
+        };
+        this.model = this.config.model;
+    }
+    /**
+     * Complete a conversation
+     */
+    async complete(messages, options) {
+        const modelInfo = this.getModel();
+        const response = await this.makeRequest('/v1/chat/completions', {
+            model: this.model,
+            max_tokens: options?.maxTokens ?? modelInfo.maxTokens,
+            temperature: options?.temperature ?? 1.0,
+            top_p: options?.topP,
+            stop: options?.stopSequences,
+            messages: this.convertMessages(messages),
+            tools: options?.tools ? this.convertTools(options.tools) : undefined,
+        });
+        return this.convertResponse(response);
+    }
+    /**
+     * Stream a conversation
+     */
+    async *stream(messages, options) {
+        const modelInfo = this.getModel();
+        const response = await this.makeStreamRequest('/v1/chat/completions', {
+            model: this.model,
+            max_tokens: options?.maxTokens ?? modelInfo.maxTokens,
+            temperature: options?.temperature ?? 1.0,
+            top_p: options?.topP,
+            stop: options?.stopSequences,
+            messages: this.convertMessages(messages),
+            tools: options?.tools ? this.convertTools(options.tools) : undefined,
+            stream: true,
+        });
+        let fullContent = '';
+        let inputTokens = 0;
+        let outputTokens = 0;
+        const toolCalls = [];
+        let finishReason = 'stop';
+        const pendingToolCalls = new Map();
+        for await (const chunk of response) {
+            const choice = chunk.choices[0];
+            if (!choice)
+                continue;
+            // Handle content delta
+            if (choice.delta.content) {
+                fullContent += choice.delta.content;
+                options?.onToken?.(choice.delta.content);
+                yield { type: 'text', text: choice.delta.content };
+            }
+            // Handle tool calls
+            if (choice.delta.tool_calls) {
+                for (const tc of choice.delta.tool_calls) {
+                    if (!pendingToolCalls.has(tc.index)) {
+                        pendingToolCalls.set(tc.index, { id: tc.id ?? '', name: '', arguments: '' });
+                    }
+                    const pending = pendingToolCalls.get(tc.index);
+                    if (tc.id)
+                        pending.id = tc.id;
+                    if (tc.function?.name)
+                        pending.name = tc.function.name;
+                    if (tc.function?.arguments)
+                        pending.arguments += tc.function.arguments;
+                }
+            }
+            // Handle finish reason
+            if (choice.finish_reason) {
+                if (choice.finish_reason === 'tool_calls')
+                    finishReason = 'tool_use';
+                else if (choice.finish_reason === 'length')
+                    finishReason = 'length';
+            }
+            // Handle usage
+            if (chunk.usage) {
+                inputTokens = chunk.usage.prompt_tokens;
+                outputTokens = chunk.usage.completion_tokens;
+            }
+        }
+        // Finalize tool calls
+        for (const pending of pendingToolCalls.values()) {
+            if (pending.id && pending.name) {
+                try {
+                    const input = JSON.parse(pending.arguments || '{}');
+                    toolCalls.push({ id: pending.id, name: pending.name, input });
+                    yield { type: 'tool_use', toolUse: { id: pending.id, name: pending.name, input } };
+                }
+                catch {
+                    // Skip invalid JSON
+                }
+            }
+        }
+        return {
+            content: fullContent,
+            finishReason,
+            usage: { inputTokens, outputTokens },
+            toolCalls: toolCalls.length > 0 ? toolCalls : undefined,
+        };
+    }
+    /**
+     * Count tokens in text
+     */
+    async countTokens(text) {
+        // Approximate token count (~4 chars per token)
+        return Math.ceil(text.length / 4);
+    }
+    /**
+     * Get model info
+     */
+    getModel() {
+        return MODEL_INFO[this.model] ?? {
+            id: this.model,
+            name: this.model,
+            maxTokens: 4096,
+            contextWindow: 32000,
+        };
+    }
+    /**
+     * Check provider health
+     */
+    async isHealthy() {
+        try {
+            const response = await fetch(`${this.config.baseUrl}/v1/models`, {
+                headers: {
+                    'Authorization': `Bearer ${this.config.apiKey}`,
+                },
+            });
+            return response.ok;
+        }
+        catch {
+            return false;
+        }
+    }
+    /**
+     * List available models
+     */
+    async listModels() {
+        try {
+            const response = await fetch(`${this.config.baseUrl}/v1/models`, {
+                headers: {
+                    'Authorization': `Bearer ${this.config.apiKey}`,
+                },
+            });
+            if (!response.ok)
+                return Object.keys(MODEL_INFO);
+            const data = await response.json();
+            return data.data.map(m => m.id);
+        }
+        catch {
+            return Object.keys(MODEL_INFO);
+        }
+    }
+    // ==========================================================================
+    // Private Methods
+    // ==========================================================================
+    convertMessages(messages) {
+        return messages.map(msg => ({
+            role: msg.role,
+            content: msg.content,
+        }));
+    }
+    convertTools(tools) {
+        return tools.map(tool => ({
+            type: 'function',
+            function: {
+                name: tool.name,
+                description: tool.description,
+                parameters: tool.parameters,
+            },
+        }));
+    }
+    convertResponse(response) {
+        const choice = response.choices[0];
+        const toolCalls = (choice.message.tool_calls ?? []).map(tc => ({
+            id: tc.id,
+            name: tc.function.name,
+            input: JSON.parse(tc.function.arguments || '{}'),
+        }));
+        let finishReason = 'stop';
+        if (choice.finish_reason === 'length')
+            finishReason = 'length';
+        if (choice.finish_reason === 'tool_calls')
+            finishReason = 'tool_use';
+        return {
+            content: choice.message.content ?? '',
+            finishReason,
+            usage: {
+                inputTokens: response.usage.prompt_tokens,
+                outputTokens: response.usage.completion_tokens,
+            },
+            toolCalls: toolCalls.length > 0 ? toolCalls : undefined,
+        };
+    }
+    async makeRequest(endpoint, body) {
+        const url = `${this.config.baseUrl}${endpoint}`;
+        const headers = {
+            'Content-Type': 'application/json',
+            'Authorization': `Bearer ${this.config.apiKey}`,
+        };
+        if (this.config.siteUrl) {
+            headers['HTTP-Referer'] = this.config.siteUrl;
+        }
+        if (this.config.siteName) {
+            headers['X-Title'] = this.config.siteName;
+        }
+        const response = await fetch(url, {
+            method: 'POST',
+            headers,
+            body: JSON.stringify(body),
+            signal: AbortSignal.timeout(this.config.timeout),
+        });
+        if (!response.ok) {
+            const error = await response.text();
+            throw new Error(`OpenRouter API error: ${response.status} - ${error}`);
+        }
+        return response.json();
+    }
+    async *makeStreamRequest(endpoint, body) {
+        const url = `${this.config.baseUrl}${endpoint}`;
+        const headers = {
+            'Content-Type': 'application/json',
+            'Authorization': `Bearer ${this.config.apiKey}`,
+        };
+        if (this.config.siteUrl) {
+            headers['HTTP-Referer'] = this.config.siteUrl;
+        }
+        if (this.config.siteName) {
+            headers['X-Title'] = this.config.siteName;
+        }
+        const response = await fetch(url, {
+            method: 'POST',
+            headers,
+            body: JSON.stringify(body),
+        });
+        if (!response.ok) {
+            const error = await response.text();
+            throw new Error(`OpenRouter API error: ${response.status} - ${error}`);
+        }
+        const reader = response.body?.getReader();
+        if (!reader) {
+            throw new Error('No response body');
+        }
+        const decoder = new TextDecoder();
+        let buffer = '';
+        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) {
+                    if (line.startsWith('data: ')) {
+                        const data = line.slice(6);
+                        if (data === '[DONE]')
+                            return;
+                        try {
+                            yield JSON.parse(data);
+                        }
+                        catch {
+                            // Skip invalid JSON
+                        }
+                    }
+                }
+            }
+        }
+        finally {
+            reader.releaseLock();
+        }
+    }
+}
+exports.OpenRouterProvider = OpenRouterProvider;
+// ============================================================================
+// Factory Functions
+// ============================================================================
+function createOpenRouterProvider(config) {
+    return new OpenRouterProvider(config);
+}
+/**
+ * Create a provider for Qwen QwQ reasoning model
+ */
+function createQwQProvider(apiKey, free = false) {
+    return new OpenRouterProvider({
+        apiKey,
+        model: free ? 'qwen/qwq-32b:free' : 'qwen/qwq-32b',
+    });
+}
+/**
+ * Create a provider for DeepSeek R1 reasoning model
+ */
+function createDeepSeekR1Provider(apiKey) {
+    return new OpenRouterProvider({
+        apiKey,
+        model: 'deepseek/deepseek-r1',
+    });
+}
+exports.default = OpenRouterProvider;
+//# sourceMappingURL=OpenRouterProvider.js.map

vendor/ruvector/npm/packages/ruvbot/src/integration/providers/OpenRouterProvider.ts

@@ -0,0 +1,607 @@
+/**
+ * OpenRouterProvider - OpenRouter Multi-Model LLM Integration
+ *
+ * Provides access to multiple LLM providers through OpenRouter,
+ * including Qwen QwQ reasoning models, Claude, GPT-4, and more.
+ */
+
+import type {
+  LLMProvider,
+  Message,
+  CompletionOptions,
+  StreamOptions,
+  Completion,
+  Token,
+  ModelInfo,
+  Tool,
+  ToolCall,
+} from './index.js';
+
+// ============================================================================
+// Types
+// ============================================================================
+
+export interface OpenRouterConfig {
+  apiKey: string;
+  baseUrl?: string;
+  model?: string;
+  siteUrl?: string;
+  siteName?: string;
+  maxRetries?: number;
+  timeout?: number;
+}
+
+export type OpenRouterModel =
+  // Qwen Reasoning Models (QwQ)
+  | 'qwen/qwq-32b'
+  | 'qwen/qwq-32b:free'
+  | 'qwen/qwq-32b-preview'
+  // Qwen Models
+  | 'qwen/qwen3-max'
+  | 'qwen/qwen-2.5-72b-instruct'
+  | 'qwen/qwen-2.5-coder-32b-instruct'
+  // Anthropic via OpenRouter
+  | 'anthropic/claude-3.5-sonnet'
+  | 'anthropic/claude-3-opus'
+  | 'anthropic/claude-3-haiku'
+  // OpenAI via OpenRouter
+  | 'openai/gpt-4-turbo'
+  | 'openai/gpt-4o'
+  | 'openai/o1-preview'
+  | 'openai/o1-mini'
+  // Google Gemini 2.x via OpenRouter
+  | 'google/gemini-2.5-pro-preview-05-06'
+  | 'google/gemini-2.0-flash-001'
+  | 'google/gemini-2.0-flash-lite-001'
+  | 'google/gemini-2.0-flash-thinking-exp:free'
+  | 'google/gemini-pro-1.5'
+  | 'google/gemini-flash-1.5'
+  // Meta via OpenRouter
+  | 'meta-llama/llama-3.1-405b-instruct'
+  | 'meta-llama/llama-3.1-70b-instruct'
+  // DeepSeek
+  | 'deepseek/deepseek-r1'
+  | 'deepseek/deepseek-chat'
+  // Other models
+  | string;
+
+interface OpenRouterMessage {
+  role: 'user' | 'assistant' | 'system';
+  content: string;
+}
+
+interface OpenRouterTool {
+  type: 'function';
+  function: {
+    name: string;
+    description: string;
+    parameters: Record<string, unknown>;
+  };
+}
+
+interface OpenRouterResponse {
+  id: string;
+  model: string;
+  choices: Array<{
+    index: number;
+    message: {
+      role: 'assistant';
+      content: string | null;
+      tool_calls?: Array<{
+        id: string;
+        type: 'function';
+        function: {
+          name: string;
+          arguments: string;
+        };
+      }>;
+    };
+    finish_reason: 'stop' | 'length' | 'tool_calls' | 'content_filter';
+  }>;
+  usage: {
+    prompt_tokens: number;
+    completion_tokens: number;
+    total_tokens: number;
+  };
+}
+
+interface OpenRouterStreamChunk {
+  id: string;
+  model: string;
+  choices: Array<{
+    index: number;
+    delta: {
+      role?: string;
+      content?: string;
+      tool_calls?: Array<{
+        index: number;
+        id?: string;
+        type?: 'function';
+        function?: {
+          name?: string;
+          arguments?: string;
+        };
+      }>;
+    };
+    finish_reason: string | null;
+  }>;
+  usage?: {
+    prompt_tokens: number;
+    completion_tokens: number;
+  };
+}
+
+// ============================================================================
+// Model Info Registry
+// ============================================================================
+
+const MODEL_INFO: Record<string, ModelInfo> = {
+  // QwQ Reasoning Models
+  'qwen/qwq-32b': {
+    id: 'qwen/qwq-32b',
+    name: 'Qwen QwQ 32B (Reasoning)',
+    maxTokens: 16384,
+    contextWindow: 32768,
+  },
+  'qwen/qwq-32b:free': {
+    id: 'qwen/qwq-32b:free',
+    name: 'Qwen QwQ 32B Free (Reasoning)',
+    maxTokens: 16384,
+    contextWindow: 32768,
+  },
+  'qwen/qwq-32b-preview': {
+    id: 'qwen/qwq-32b-preview',
+    name: 'Qwen QwQ 32B Preview (Reasoning)',
+    maxTokens: 16384,
+    contextWindow: 32768,
+  },
+  // Qwen Standard Models
+  'qwen/qwen3-max': {
+    id: 'qwen/qwen3-max',
+    name: 'Qwen3 Max',
+    maxTokens: 8192,
+    contextWindow: 32768,
+  },
+  'qwen/qwen-2.5-72b-instruct': {
+    id: 'qwen/qwen-2.5-72b-instruct',
+    name: 'Qwen 2.5 72B Instruct',
+    maxTokens: 8192,
+    contextWindow: 32768,
+  },
+  'qwen/qwen-2.5-coder-32b-instruct': {
+    id: 'qwen/qwen-2.5-coder-32b-instruct',
+    name: 'Qwen 2.5 Coder 32B',
+    maxTokens: 8192,
+    contextWindow: 32768,
+  },
+  // Anthropic
+  'anthropic/claude-3.5-sonnet': {
+    id: 'anthropic/claude-3.5-sonnet',
+    name: 'Claude 3.5 Sonnet',
+    maxTokens: 8192,
+    contextWindow: 200000,
+  },
+  'anthropic/claude-3-opus': {
+    id: 'anthropic/claude-3-opus',
+    name: 'Claude 3 Opus',
+    maxTokens: 4096,
+    contextWindow: 200000,
+  },
+  // OpenAI
+  'openai/gpt-4o': {
+    id: 'openai/gpt-4o',
+    name: 'GPT-4o',
+    maxTokens: 16384,
+    contextWindow: 128000,
+  },
+  'openai/o1-preview': {
+    id: 'openai/o1-preview',
+    name: 'O1 Preview (Reasoning)',
+    maxTokens: 32768,
+    contextWindow: 128000,
+  },
+  'openai/o1-mini': {
+    id: 'openai/o1-mini',
+    name: 'O1 Mini (Reasoning)',
+    maxTokens: 65536,
+    contextWindow: 128000,
+  },
+  // DeepSeek
+  'deepseek/deepseek-r1': {
+    id: 'deepseek/deepseek-r1',
+    name: 'DeepSeek R1 (Reasoning)',
+    maxTokens: 8192,
+    contextWindow: 64000,
+  },
+  'deepseek/deepseek-chat': {
+    id: 'deepseek/deepseek-chat',
+    name: 'DeepSeek Chat',
+    maxTokens: 4096,
+    contextWindow: 32000,
+  },
+  // Google Gemini 2.x
+  'google/gemini-2.5-pro-preview-05-06': {
+    id: 'google/gemini-2.5-pro-preview-05-06',
+    name: 'Gemini 2.5 Pro Preview',
+    maxTokens: 65536,
+    contextWindow: 1000000,
+  },
+  'google/gemini-2.0-flash-001': {
+    id: 'google/gemini-2.0-flash-001',
+    name: 'Gemini 2.0 Flash',
+    maxTokens: 8192,
+    contextWindow: 1000000,
+  },
+  'google/gemini-2.0-flash-lite-001': {
+    id: 'google/gemini-2.0-flash-lite-001',
+    name: 'Gemini 2.0 Flash Lite',
+    maxTokens: 8192,
+    contextWindow: 1000000,
+  },
+  'google/gemini-2.0-flash-thinking-exp:free': {
+    id: 'google/gemini-2.0-flash-thinking-exp:free',
+    name: 'Gemini 2.0 Flash Thinking (Free)',
+    maxTokens: 32768,
+    contextWindow: 1000000,
+  },
+  // Google Gemini 1.5
+  'google/gemini-pro-1.5': {
+    id: 'google/gemini-pro-1.5',
+    name: 'Gemini Pro 1.5',
+    maxTokens: 8192,
+    contextWindow: 1000000,
+  },
+  // Meta
+  'meta-llama/llama-3.1-405b-instruct': {
+    id: 'meta-llama/llama-3.1-405b-instruct',
+    name: 'Llama 3.1 405B Instruct',
+    maxTokens: 4096,
+    contextWindow: 128000,
+  },
+};
+
+// ============================================================================
+// OpenRouterProvider Implementation
+// ============================================================================
+
+export class OpenRouterProvider implements LLMProvider {
+  private readonly config: Required<OpenRouterConfig>;
+  private readonly model: OpenRouterModel;
+
+  constructor(config: OpenRouterConfig) {
+    this.config = {
+      apiKey: config.apiKey,
+      baseUrl: config.baseUrl ?? 'https://openrouter.ai/api',
+      model: config.model ?? 'qwen/qwq-32b',  // Default to QwQ reasoning model
+      siteUrl: config.siteUrl ?? '',
+      siteName: config.siteName ?? 'RuvBot',
+      maxRetries: config.maxRetries ?? 3,
+      timeout: config.timeout ?? 120000,  // Longer timeout for reasoning models
+    };
+    this.model = this.config.model;
+  }
+
+  /**
+   * Complete a conversation
+   */
+  async complete(messages: Message[], options?: CompletionOptions): Promise<Completion> {
+    const modelInfo = this.getModel();
+    const response = await this.makeRequest<OpenRouterResponse>('/v1/chat/completions', {
+      model: this.model,
+      max_tokens: options?.maxTokens ?? modelInfo.maxTokens,
+      temperature: options?.temperature ?? 1.0,
+      top_p: options?.topP,
+      stop: options?.stopSequences,
+      messages: this.convertMessages(messages),
+      tools: options?.tools ? this.convertTools(options.tools) : undefined,
+    });
+
+    return this.convertResponse(response);
+  }
+
+  /**
+   * Stream a conversation
+   */
+  async *stream(messages: Message[], options?: StreamOptions): AsyncGenerator<Token, Completion, void> {
+    const modelInfo = this.getModel();
+    const response = await this.makeStreamRequest('/v1/chat/completions', {
+      model: this.model,
+      max_tokens: options?.maxTokens ?? modelInfo.maxTokens,
+      temperature: options?.temperature ?? 1.0,
+      top_p: options?.topP,
+      stop: options?.stopSequences,
+      messages: this.convertMessages(messages),
+      tools: options?.tools ? this.convertTools(options.tools) : undefined,
+      stream: true,
+    });
+
+    let fullContent = '';
+    let inputTokens = 0;
+    let outputTokens = 0;
+    const toolCalls: ToolCall[] = [];
+    let finishReason: Completion['finishReason'] = 'stop';
+    const pendingToolCalls: Map<number, { id: string; name: string; arguments: string }> = new Map();
+
+    for await (const chunk of response) {
+      const choice = chunk.choices[0];
+      if (!choice) continue;
+
+      // Handle content delta
+      if (choice.delta.content) {
+        fullContent += choice.delta.content;
+        options?.onToken?.(choice.delta.content);
+        yield { type: 'text', text: choice.delta.content };
+      }
+
+      // Handle tool calls
+      if (choice.delta.tool_calls) {
+        for (const tc of choice.delta.tool_calls) {
+          if (!pendingToolCalls.has(tc.index)) {
+            pendingToolCalls.set(tc.index, { id: tc.id ?? '', name: '', arguments: '' });
+          }
+          const pending = pendingToolCalls.get(tc.index)!;
+          if (tc.id) pending.id = tc.id;
+          if (tc.function?.name) pending.name = tc.function.name;
+          if (tc.function?.arguments) pending.arguments += tc.function.arguments;
+        }
+      }
+
+      // Handle finish reason
+      if (choice.finish_reason) {
+        if (choice.finish_reason === 'tool_calls') finishReason = 'tool_use';
+        else if (choice.finish_reason === 'length') finishReason = 'length';
+      }
+
+      // Handle usage
+      if (chunk.usage) {
+        inputTokens = chunk.usage.prompt_tokens;
+        outputTokens = chunk.usage.completion_tokens;
+      }
+    }
+
+    // Finalize tool calls
+    for (const pending of pendingToolCalls.values()) {
+      if (pending.id && pending.name) {
+        try {
+          const input = JSON.parse(pending.arguments || '{}');
+          toolCalls.push({ id: pending.id, name: pending.name, input });
+          yield { type: 'tool_use', toolUse: { id: pending.id, name: pending.name, input } };
+        } catch {
+          // Skip invalid JSON
+        }
+      }
+    }
+
+    return {
+      content: fullContent,
+      finishReason,
+      usage: { inputTokens, outputTokens },
+      toolCalls: toolCalls.length > 0 ? toolCalls : undefined,
+    };
+  }
+
+  /**
+   * Count tokens in text
+   */
+  async countTokens(text: string): Promise<number> {
+    // Approximate token count (~4 chars per token)
+    return Math.ceil(text.length / 4);
+  }
+
+  /**
+   * Get model info
+   */
+  getModel(): ModelInfo {
+    return MODEL_INFO[this.model] ?? {
+      id: this.model,
+      name: this.model,
+      maxTokens: 4096,
+      contextWindow: 32000,
+    };
+  }
+
+  /**
+   * Check provider health
+   */
+  async isHealthy(): Promise<boolean> {
+    try {
+      const response = await fetch(`${this.config.baseUrl}/v1/models`, {
+        headers: {
+          'Authorization': `Bearer ${this.config.apiKey}`,
+        },
+      });
+      return response.ok;
+    } catch {
+      return false;
+    }
+  }
+
+  /**
+   * List available models
+   */
+  async listModels(): Promise<string[]> {
+    try {
+      const response = await fetch(`${this.config.baseUrl}/v1/models`, {
+        headers: {
+          'Authorization': `Bearer ${this.config.apiKey}`,
+        },
+      });
+
+      if (!response.ok) return Object.keys(MODEL_INFO);
+
+      const data = await response.json() as { data: Array<{ id: string }> };
+      return data.data.map(m => m.id);
+    } catch {
+      return Object.keys(MODEL_INFO);
+    }
+  }
+
+  // ==========================================================================
+  // Private Methods
+  // ==========================================================================
+
+  private convertMessages(messages: Message[]): OpenRouterMessage[] {
+    return messages.map(msg => ({
+      role: msg.role,
+      content: msg.content,
+    }));
+  }
+
+  private convertTools(tools: Tool[]): OpenRouterTool[] {
+    return tools.map(tool => ({
+      type: 'function' as const,
+      function: {
+        name: tool.name,
+        description: tool.description,
+        parameters: tool.parameters,
+      },
+    }));
+  }
+
+  private convertResponse(response: OpenRouterResponse): Completion {
+    const choice = response.choices[0];
+
+    const toolCalls: ToolCall[] = (choice.message.tool_calls ?? []).map(tc => ({
+      id: tc.id,
+      name: tc.function.name,
+      input: JSON.parse(tc.function.arguments || '{}'),
+    }));
+
+    let finishReason: Completion['finishReason'] = 'stop';
+    if (choice.finish_reason === 'length') finishReason = 'length';
+    if (choice.finish_reason === 'tool_calls') finishReason = 'tool_use';
+
+    return {
+      content: choice.message.content ?? '',
+      finishReason,
+      usage: {
+        inputTokens: response.usage.prompt_tokens,
+        outputTokens: response.usage.completion_tokens,
+      },
+      toolCalls: toolCalls.length > 0 ? toolCalls : undefined,
+    };
+  }
+
+  private async makeRequest<T>(endpoint: string, body: Record<string, unknown>): Promise<T> {
+    const url = `${this.config.baseUrl}${endpoint}`;
+
+    const headers: Record<string, string> = {
+      'Content-Type': 'application/json',
+      'Authorization': `Bearer ${this.config.apiKey}`,
+    };
+
+    if (this.config.siteUrl) {
+      headers['HTTP-Referer'] = this.config.siteUrl;
+    }
+    if (this.config.siteName) {
+      headers['X-Title'] = this.config.siteName;
+    }
+
+    const response = await fetch(url, {
+      method: 'POST',
+      headers,
+      body: JSON.stringify(body),
+      signal: AbortSignal.timeout(this.config.timeout),
+    });
+
+    if (!response.ok) {
+      const error = await response.text();
+      throw new Error(`OpenRouter API error: ${response.status} - ${error}`);
+    }
+
+    return response.json() as Promise<T>;
+  }
+
+  private async *makeStreamRequest(
+    endpoint: string,
+    body: Record<string, unknown>
+  ): AsyncGenerator<OpenRouterStreamChunk, void, void> {
+    const url = `${this.config.baseUrl}${endpoint}`;
+
+    const headers: Record<string, string> = {
+      'Content-Type': 'application/json',
+      'Authorization': `Bearer ${this.config.apiKey}`,
+    };
+
+    if (this.config.siteUrl) {
+      headers['HTTP-Referer'] = this.config.siteUrl;
+    }
+    if (this.config.siteName) {
+      headers['X-Title'] = this.config.siteName;
+    }
+
+    const response = await fetch(url, {
+      method: 'POST',
+      headers,
+      body: JSON.stringify(body),
+    });
+
+    if (!response.ok) {
+      const error = await response.text();
+      throw new Error(`OpenRouter API error: ${response.status} - ${error}`);
+    }
+
+    const reader = response.body?.getReader();
+    if (!reader) {
+      throw new Error('No response body');
+    }
+
+    const decoder = new TextDecoder();
+    let buffer = '';
+
+    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) {
+          if (line.startsWith('data: ')) {
+            const data = line.slice(6);
+            if (data === '[DONE]') return;
+            try {
+              yield JSON.parse(data) as OpenRouterStreamChunk;
+            } catch {
+              // Skip invalid JSON
+            }
+          }
+        }
+      }
+    } finally {
+      reader.releaseLock();
+    }
+  }
+}
+
+// ============================================================================
+// Factory Functions
+// ============================================================================
+
+export function createOpenRouterProvider(config: OpenRouterConfig): OpenRouterProvider {
+  return new OpenRouterProvider(config);
+}
+
+/**
+ * Create a provider for Qwen QwQ reasoning model
+ */
+export function createQwQProvider(apiKey: string, free: boolean = false): OpenRouterProvider {
+  return new OpenRouterProvider({
+    apiKey,
+    model: free ? 'qwen/qwq-32b:free' : 'qwen/qwq-32b',
+  });
+}
+
+/**
+ * Create a provider for DeepSeek R1 reasoning model
+ */
+export function createDeepSeekR1Provider(apiKey: string): OpenRouterProvider {
+  return new OpenRouterProvider({
+    apiKey,
+    model: 'deepseek/deepseek-r1',
+  });
+}
+
+export default OpenRouterProvider;

vendor/ruvector/npm/packages/ruvbot/src/integration/providers/index.d.ts.map

@@ -0,0 +1 @@
+{"version":3,"file":"index.d.ts","sourceRoot":"","sources":["index.ts"],"names":[],"mappings":"AAAA;;GAEG;AAEH,MAAM,WAAW,gBAAgB;IAC/B,GAAG,EAAE,WAAW,CAAC;IACjB,SAAS,EAAE,iBAAiB,CAAC;CAC9B;AAED,MAAM,WAAW,WAAW;IAC1B,QAAQ,CAAC,QAAQ,EAAE,OAAO,EAAE,EAAE,OAAO,CAAC,EAAE,iBAAiB,GAAG,OAAO,CAAC,UAAU,CAAC,CAAC;IAChF,MAAM,CAAC,QAAQ,EAAE,OAAO,EAAE,EAAE,OAAO,CAAC,EAAE,aAAa,GAAG,cAAc,CAAC,KAAK,EAAE,UAAU,EAAE,IAAI,CAAC,CAAC;IAC9F,WAAW,CAAC,IAAI,EAAE,MAAM,GAAG,OAAO,CAAC,MAAM,CAAC,CAAC;IAC3C,QAAQ,IAAI,SAAS,CAAC;IACtB,SAAS,IAAI,OAAO,CAAC,OAAO,CAAC,CAAC;CAC/B;AAED,MAAM,WAAW,OAAO;IACtB,IAAI,EAAE,MAAM,GAAG,WAAW,GAAG,QAAQ,CAAC;IACtC,OAAO,EAAE,MAAM,CAAC;CACjB;AAED,MAAM,WAAW,iBAAiB;IAChC,SAAS,CAAC,EAAE,MAAM,CAAC;IACnB,WAAW,CAAC,EAAE,MAAM,CAAC;IACrB,IAAI,CAAC,EAAE,MAAM,CAAC;IACd,aAAa,CAAC,EAAE,MAAM,EAAE,CAAC;IACzB,KAAK,CAAC,EAAE,IAAI,EAAE,CAAC;CAChB;AAED,MAAM,WAAW,aAAc,SAAQ,iBAAiB;IACtD,OAAO,CAAC,EAAE,CAAC,KAAK,EAAE,MAAM,KAAK,IAAI,CAAC;CACnC;AAED,MAAM,WAAW,UAAU;IACzB,OAAO,EAAE,MAAM,CAAC;IAChB,YAAY,EAAE,MAAM,GAAG,QAAQ,GAAG,UAAU,CAAC;IAC7C,KAAK,EAAE;QACL,WAAW,EAAE,MAAM,CAAC;QACpB,YAAY,EAAE,MAAM,CAAC;KACtB,CAAC;IACF,SAAS,CAAC,EAAE,QAAQ,EAAE,CAAC;CACxB;AAED,MAAM,WAAW,KAAK;IACpB,IAAI,EAAE,MAAM,GAAG,UAAU,CAAC;IAC1B,IAAI,CAAC,EAAE,MAAM,CAAC;IACd,OAAO,CAAC,EAAE,QAAQ,CAAC;CACpB;AAED,MAAM,WAAW,IAAI;IACnB,IAAI,EAAE,MAAM,CAAC;IACb,WAAW,EAAE,MAAM,CAAC;IACpB,UAAU,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;CACrC;AAED,MAAM,WAAW,QAAQ;IACvB,EAAE,EAAE,MAAM,CAAC;IACX,IAAI,EAAE,MAAM,CAAC;IACb,KAAK,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;CAChC;AAED,MAAM,WAAW,SAAS;IACxB,EAAE,EAAE,MAAM,CAAC;IACX,IAAI,EAAE,MAAM,CAAC;IACb,SAAS,EAAE,MAAM,CAAC;IAClB,aAAa,EAAE,MAAM,CAAC;CACvB;AAED,MAAM,WAAW,iBAAiB;IAChC,KAAK,CAAC,KAAK,EAAE,MAAM,EAAE,GAAG,OAAO,CAAC,YAAY,EAAE,CAAC,CAAC;IAChD,WAAW,CAAC,IAAI,EAAE,MAAM,GAAG,OAAO,CAAC,YAAY,CAAC,CAAC;IACjD,UAAU,IAAI,MAAM,CAAC;IACrB,KAAK,IAAI,MAAM,CAAC;CACjB;AAGD,OAAO,EACL,iBAAiB,EACjB,uBAAuB,EACvB,KAAK,eAAe,EACpB,KAAK,cAAc,GACpB,MAAM,wBAAwB,CAAC;AAEhC,OAAO,EACL,kBAAkB,EAClB,wBAAwB,EACxB,iBAAiB,EACjB,wBAAwB,EACxB,KAAK,gBAAgB,EACrB,KAAK,eAAe,GACrB,MAAM,yBAAyB,CAAC;AAEjC,OAAO,EACL,sBAAsB,EACtB,KAAK,cAAc,EACnB,KAAK,aAAa,GACnB,MAAM,uBAAuB,CAAC"}

vendor/ruvector/npm/packages/ruvbot/src/integration/providers/index.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sourceRoot":"","sources":["index.ts"],"names":[],"mappings":";AAAA;;GAEG;;;AA0EH,2BAA2B;AAC3B,+DAKgC;AAJ9B,yHAAA,iBAAiB,OAAA;AACjB,+HAAA,uBAAuB,OAAA;AAKzB,iEAOiC;AAN/B,2HAAA,kBAAkB,OAAA;AAClB,iIAAA,wBAAwB,OAAA;AACxB,0HAAA,iBAAiB,OAAA;AACjB,iIAAA,wBAAwB,OAAA;AAK1B,6DAI+B;AAH7B,6HAAA,sBAAsB,OAAA"}

vendor/ruvector/npm/packages/ruvbot/src/integration/providers/index.ts

@@ -0,0 +1,98 @@
+/**
+ * AI Provider Integration - LLM and Embedding Providers
+ */
+
+export interface ProviderRegistry {
+  llm: LLMProvider;
+  embedding: EmbeddingProvider;
+}
+
+export interface LLMProvider {
+  complete(messages: Message[], options?: CompletionOptions): Promise<Completion>;
+  stream(messages: Message[], options?: StreamOptions): AsyncGenerator<Token, Completion, void>;
+  countTokens(text: string): Promise<number>;
+  getModel(): ModelInfo;
+  isHealthy(): Promise<boolean>;
+}
+
+export interface Message {
+  role: 'user' | 'assistant' | 'system';
+  content: string;
+}
+
+export interface CompletionOptions {
+  maxTokens?: number;
+  temperature?: number;
+  topP?: number;
+  stopSequences?: string[];
+  tools?: Tool[];
+}
+
+export interface StreamOptions extends CompletionOptions {
+  onToken?: (token: string) => void;
+}
+
+export interface Completion {
+  content: string;
+  finishReason: 'stop' | 'length' | 'tool_use';
+  usage: {
+    inputTokens: number;
+    outputTokens: number;
+  };
+  toolCalls?: ToolCall[];
+}
+
+export interface Token {
+  type: 'text' | 'tool_use';
+  text?: string;
+  toolUse?: ToolCall;
+}
+
+export interface Tool {
+  name: string;
+  description: string;
+  parameters: Record<string, unknown>;
+}
+
+export interface ToolCall {
+  id: string;
+  name: string;
+  input: Record<string, unknown>;
+}
+
+export interface ModelInfo {
+  id: string;
+  name: string;
+  maxTokens: number;
+  contextWindow: number;
+}
+
+export interface EmbeddingProvider {
+  embed(texts: string[]): Promise<Float32Array[]>;
+  embedSingle(text: string): Promise<Float32Array>;
+  dimensions(): number;
+  model(): string;
+}
+
+// Provider implementations
+export {
+  AnthropicProvider,
+  createAnthropicProvider,
+  type AnthropicConfig,
+  type AnthropicModel,
+} from './AnthropicProvider.js';
+
+export {
+  OpenRouterProvider,
+  createOpenRouterProvider,
+  createQwQProvider,
+  createDeepSeekR1Provider,
+  type OpenRouterConfig,
+  type OpenRouterModel,
+} from './OpenRouterProvider.js';
+
+export {
+  createGoogleAIProvider,
+  type GoogleAIConfig,
+  type GoogleAIModel,
+} from './GoogleAIProvider.js';

vendor/ruvector/npm/packages/ruvbot/src/integration/slack/index.d.ts.map

@@ -0,0 +1 @@
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vendor/ruvector/npm/packages/ruvbot/src/integration/slack/index.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sourceRoot":"","sources":["index.ts"],"names":[],"mappings":";AAAA;;GAEG"}

vendor/ruvector/npm/packages/ruvbot/src/integration/slack/index.ts

@@ -0,0 +1,78 @@
+/**
+ * Slack Integration - Events, Commands, Blocks
+ */
+
+export interface SlackIntegration {
+  events: SlackEventHandler;
+  commands: SlackCommandHandler;
+  blocks: BlockBuilder;
+}
+
+export interface SlackEventHandler {
+  onMessage(handler: (event: SlackMessageEvent) => Promise<void>): void;
+  onMention(handler: (event: SlackMentionEvent) => Promise<void>): void;
+  onReaction(handler: (event: SlackReactionEvent) => Promise<void>): void;
+}
+
+export interface SlackMessageEvent {
+  teamId: string;
+  channelId: string;
+  userId: string;
+  text: string;
+  threadTs?: string;
+  ts: string;
+}
+
+export interface SlackMentionEvent extends SlackMessageEvent {
+  mentionedUserId: string;
+}
+
+export interface SlackReactionEvent {
+  teamId: string;
+  channelId: string;
+  userId: string;
+  reaction: string;
+  itemTs: string;
+  added: boolean;
+}
+
+export interface SlackCommandHandler {
+  register(command: string, handler: CommandHandler): void;
+}
+
+export type CommandHandler = (ctx: CommandContext) => Promise<CommandResult>;
+
+export interface CommandContext {
+  command: string;
+  text: string;
+  userId: string;
+  channelId: string;
+  teamId: string;
+  responseUrl: string;
+}
+
+export interface CommandResult {
+  public: boolean;
+  text?: string;
+  blocks?: Block[];
+}
+
+export interface BlockBuilder {
+  section(text: string): BlockBuilder;
+  divider(): BlockBuilder;
+  context(...elements: string[]): BlockBuilder;
+  actions(actionId: string, buttons: Button[]): BlockBuilder;
+  build(): Block[];
+}
+
+export interface Block {
+  type: string;
+  [key: string]: unknown;
+}
+
+export interface Button {
+  text: string;
+  actionId: string;
+  value?: string;
+  style?: 'primary' | 'danger';
+}

vendor/ruvector/npm/packages/ruvbot/src/integration/webhooks/index.d.ts.map

@@ -0,0 +1 @@
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vendor/ruvector/npm/packages/ruvbot/src/integration/webhooks/index.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sourceRoot":"","sources":["index.ts"],"names":[],"mappings":";AAAA;;GAEG"}

vendor/ruvector/npm/packages/ruvbot/src/integration/webhooks/index.ts

@@ -0,0 +1,51 @@
+/**
+ * Webhook Integration - Inbound and Outbound
+ */
+
+export interface WebhookManager {
+  inbound: InboundWebhooks;
+  outbound: OutboundWebhooks;
+}
+
+export interface InboundWebhooks {
+  register(path: string, handler: WebhookHandler): void;
+  verify(request: WebhookRequest, signature: string): boolean;
+}
+
+export type WebhookHandler = (payload: WebhookPayload) => Promise<WebhookResponse>;
+
+export interface WebhookPayload {
+  body: unknown;
+  headers: Record<string, string>;
+  query: Record<string, string>;
+}
+
+export interface WebhookResponse {
+  status?: number;
+  body?: unknown;
+}
+
+export interface WebhookRequest {
+  body: string;
+  headers: Record<string, string>;
+}
+
+export interface OutboundWebhooks {
+  configure(endpoint: WebhookEndpoint): Promise<string>;
+  dispatch(webhookId: string, payload: unknown): Promise<DispatchResult>;
+  retry(dispatchId: string): Promise<DispatchResult>;
+}
+
+export interface WebhookEndpoint {
+  url: string;
+  secret: string;
+  events: string[];
+  headers?: Record<string, string>;
+}
+
+export interface DispatchResult {
+  success: boolean;
+  statusCode?: number;
+  latencyMs?: number;
+  error?: string;
+}