chore(release): 2.0.0

Major release: @google/generative-ai → @google/genai migration changes the type signature of GeminiConfig.safetySettings, which is a breaking change for consumers using that option. Other changes accumulated since 1.3.3: - @anthropic-ai/sdk 0.65 → 0.97 - openai 4 → 6 - @types/node 24 → 25 - TypeScript 6 support (peer widened to ^5 || ^6) - Default Gemini model: gemini-1.5-flash → gemini-2.5-flash
Merge pull request 'chore(deps)!: migrate from @google/generative-ai to @google/genai' (#6 ) from chore/deps-google-genai-migration into main
2026-05-21 12:56:46 +02:00 · 2026-05-21 10:56:04 +00:00 · 2026-05-21 12:54:48 +02:00 · 2026-05-21 10:49:23 +00:00 · 2026-05-21 12:49:05 +02:00 · 2026-05-21 10:46:42 +00:00
4 changed files with 223 additions and 502 deletions
--- a/bun.lock
+++ b/bun.lock
@@ -4,116 +4,129 @@
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+    "long": ["long@5.3.2", "", {}, "sha512-mNAgZ1GmyNhD7AuqnTG3/VQ26o760+ZYBPKjPvugO8+nLbYfX6TVpJPseBvopbdY+qpZ/lKUnmEc1LeZYS3QAA=="],

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+    "node-fetch": ["node-fetch@3.3.2", "", { "dependencies": { "data-uri-to-buffer": "^4.0.0", "fetch-blob": "^3.1.4", "formdata-polyfill": "^4.0.10" } }, "sha512-dRB78srN/l6gqWulah9SrxeYnxeddIG30+GOqK/9OlLVyLg3HPnr6SqOWTWOXKRwC2eGYCkZ59NNuSgvSrpgOA=="],

-    "openai": ["openai@4.104.0", "", { "dependencies": { "@types/node": "^18.11.18", "@types/node-fetch": "^2.6.4", "abort-controller": "^3.0.0", "agentkeepalive": "^4.2.1", "form-data-encoder": "1.7.2", "formdata-node": "^4.3.2", "node-fetch": "^2.6.7" }, "peerDependencies": { "ws": "^8.18.0", "zod": "^3.23.8" }, "optionalPeers": ["ws", "zod"], "bin": { "openai": "bin/cli" } }, "sha512-p99EFNsA/yX6UhVO93f5kJsDRLAg+CTA2RBqdHK4RtK8u5IJw32Hyb2dTGKbnnFmnuoBv5r7Z2CURI9sGZpSuA=="],
+    "openai": ["openai@6.38.0", "", { "peerDependencies": { "ws": "^8.18.0", "zod": "^3.25 || ^4.0" }, "optionalPeers": ["ws", "zod"], "bin": { "openai": "bin/cli" } }, "sha512-AoMplt2UalrpgUDMh3L09QWjNRlgJPipclQvA6sYAaeF6nHNBMgmikAZGmcYLn8on4d9sQY9Q8bOLfrBS7Lc8g=="],

-    "tr46": ["tr46@0.0.3", "", {}, "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw=="],
+    "p-retry": ["p-retry@4.6.2", "", { "dependencies": { "@types/retry": "0.12.0", "retry": "^0.13.1" } }, "sha512-312Id396EbJdvRONlngUx0NydfrIQ5lsYu0znKVUzVvArzEIt08V1qhtyESbGVd1FGX7UKtiFp5uwKZdM8wIuQ=="],
+
+    "protobufjs": ["protobufjs@7.6.0", "", { "dependencies": { "@protobufjs/aspromise": "^1.1.2", "@protobufjs/base64": "^1.1.2", "@protobufjs/codegen": "^2.0.5", "@protobufjs/eventemitter": "^1.1.0", "@protobufjs/fetch": "^1.1.1", "@protobufjs/float": "^1.0.2", "@protobufjs/inquire": "^1.1.2", "@protobufjs/path": "^1.1.2", "@protobufjs/pool": "^1.1.0", "@protobufjs/utf8": "^1.1.1", "@types/node": ">=13.7.0", "long": "^5.3.2" } }, "sha512-LtESOsMPTZgyYtwxhvdgdjGL0HmXEaRA/hVD6sol4zA60hVXXXP/SGmxnqDbgGE8gy7pYex7cym+5vYPcmaXBQ=="],
+
+    "retry": ["retry@0.13.1", "", {}, "sha512-XQBQ3I8W1Cge0Seh+6gjj03LbmRFWuoszgK9ooCpwYIrhhoO80pfq4cUkU5DkknwfOfFteRwlZ56PYOGYyFWdg=="],
+
+    "safe-buffer": ["safe-buffer@5.2.1", "", {}, "sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ=="],
+
+    "standardwebhooks": ["standardwebhooks@1.0.0", "", { "dependencies": { "@stablelib/base64": "^1.0.0", "fast-sha256": "^1.3.0" } }, "sha512-BbHGOQK9olHPMvQNHWul6MYlrRTAOKn03rOe4A8O3CLWhNf4YHBqq2HJKKC+sfqpxiBY52pNeesD6jIiLDz8jg=="],

    "ts-algebra": ["ts-algebra@2.0.0", "", {}, "sha512-FPAhNPFMrkwz76P7cdjdmiShwMynZYN6SgOujD1urY4oNm80Ou9oMdmbR45LotcKOXoy7wSmHkRFE6Mxbrhefw=="],

-    "typescript": ["typescript@5.8.3", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-p1diW6TqL9L07nNxvRMM7hMMw4c5XOo/1ibL4aAIGmSAt9slTE1Xgw5KWuof2uTOvCg9BY7ZRi+GaF+7sfgPeQ=="],
+    "typescript": ["typescript@6.0.3", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-y2TvuxSZPDyQakkFRPZHKFm+KKVqIisdg9/CZwm9ftvKXLP8NRWj38/ODjNbr43SsoXqNuAisEf1GdCxqWcdBw=="],

-    "undici-types": ["undici-types@7.16.0", "", {}, "sha512-Zz+aZWSj8LE6zoxD+xrjh4VfkIG8Ya6LvYkZqtUQGJPZjYl53ypCaUwWqo7eI0x66KBGeRo+mlBEkMSeSZ38Nw=="],
+    "undici-types": ["undici-types@7.24.6", "", {}, "sha512-WRNW+sJgj5OBN4/0JpHFqtqzhpbnV0GuB+OozA9gCL7a993SmU+1JBZCzLNxYsbMfIeDL+lTsphD5jN5N+n0zg=="],

-    "web-streams-polyfill": ["web-streams-polyfill@4.0.0-beta.3", "", {}, "sha512-QW95TCTaHmsYfHDybGMwO5IJIM93I/6vTRk+daHTWFPhwh+C8Cg7j7XyKrwrj8Ib6vYXe0ocYNrmzY4xAAN6ug=="],
+    "web-streams-polyfill": ["web-streams-polyfill@3.3.3", "", {}, "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw=="],

-    "webidl-conversions": ["webidl-conversions@3.0.1", "", {}, "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ=="],
+    "ws": ["ws@8.20.1", "", { "peerDependencies": { "bufferutil": "^4.0.1", "utf-8-validate": ">=5.0.2" }, "optionalPeers": ["bufferutil", "utf-8-validate"] }, "sha512-It4dO0K5v//JtTXuPkfEOaI3uUN87iYPnqo/ZzqCoG3g8uhA66QUMs/SrM0YK7/NAu+r4LMh/9dq2A7k+rHs+w=="],

-    "whatwg-url": ["whatwg-url@5.0.0", "", { "dependencies": { "tr46": "~0.0.3", "webidl-conversions": "^3.0.0" } }, "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw=="],
+    "bun-types/@types/node": ["@types/node@24.12.4", "", { "dependencies": { "undici-types": "~7.16.0" } }, "sha512-GUUEShf+PBCGW2KaXwcIt3Yk+e3pkKwWKb9GSyM9WQVE+ep2jzmHdGsHzu4wgcZy5fN9FBdVzjpBQsYlpfpgLA=="],

-    "@types/node-fetch/@types/node": ["@types/node@22.15.23", "", { "dependencies": { "undici-types": "~6.21.0" } }, "sha512-7Ec1zaFPF4RJ0eXu1YT/xgiebqwqoJz8rYPDi/O2BcZ++Wpt0Kq9cl0eg6NN6bYbPnR67ZLo7St5Q3UK0SnARw=="],
-
-    "openai/@types/node": ["@types/node@18.19.104", "", { "dependencies": { "undici-types": "~5.26.4" } }, "sha512-mqjoYx1RjmN61vjnHWfiWzAlwvBKutoUdm+kYLPnjI5DCh8ZqofUhaTbT3WLl7bt3itR8DuCf8ShnxI0JvIC3g=="],
-
-    "@types/node-fetch/@types/node/undici-types": ["undici-types@6.21.0", "", {}, "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ=="],
-
-    "openai/@types/node/undici-types": ["undici-types@5.26.5", "", {}, "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA=="],
+    "bun-types/@types/node/undici-types": ["undici-types@7.16.0", "", {}, "sha512-Zz+aZWSj8LE6zoxD+xrjh4VfkIG8Ya6LvYkZqtUQGJPZjYl53ypCaUwWqo7eI0x66KBGeRo+mlBEkMSeSZ38Nw=="],
  }
 }
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
  "name": "simple-ai-provider",
-  "version": "1.3.3",
+  "version": "2.0.0",
  "description": "A simple and extensible AI provider package for easy integration of multiple AI services",
  "main": "dist/index.js",
  "module": "dist/index.mjs",
@@ -52,16 +52,17 @@
    "url": "https://gitea.jleibl.net/jleibl/simple-ai-provider.git"
  },
  "dependencies": {
-    "@anthropic-ai/sdk": "^0.65.0",
-    "@google/generative-ai": "^0.24.1",
-    "openai": "^4.104.0"
+    "@anthropic-ai/sdk": "^0.97.0",
+    "@google/genai": "^2.5.0",
+    "openai": "^6.0.0"
  },
  "devDependencies": {
    "@types/bun": "^1.3.14",
-    "@types/node": "^24.0.0"
+    "@types/node": "^25.0.0",
+    "typescript": "^6.0.0"
  },
  "peerDependencies": {
-    "typescript": "^5"
+    "typescript": "^5 || ^6"
  },
  "engines": {
    "node": ">=18.0.0"
--- a/src/providers/gemini.ts
+++ b/src/providers/gemini.ts
@@ -1,32 +1,26 @@
 /**
 * Google Gemini Provider Implementation
- * 
- * This module provides integration with Google's Gemini models through the official
- * Generative AI SDK. Gemini offers cutting-edge AI capabilities including multimodal
- * understanding, advanced reasoning, and efficient text generation across various tasks.
- * 
+ *
+ * Integrates with Google's Gemini models through the official @google/genai SDK
+ * (the successor to the deprecated @google/generative-ai package).
+ *
 * Key Features:
- * - Support for all Gemini model variants (Gemini 1.5 Pro, Flash, Pro Vision)
- * - Advanced streaming support with real-time token delivery
- * - Native multimodal capabilities (text, images, video)
- * - Sophisticated safety settings and content filtering
- * - Flexible generation configuration with fine-grained control
- * 
- * Gemini-Specific Considerations:
- * - Uses "candidates" for response variants and "usageMetadata" for token counts
- * - Supports system instructions as separate parameter (not in conversation)
- * - Has sophisticated safety filtering with customizable thresholds
- * - Provides extensive generation configuration options
- * - Supports both single-turn and multi-turn conversations
- * - Offers advanced reasoning and coding capabilities
- * 
+ * - Support for Gemini 1.5 / 2.0 / 2.5 model families
+ * - Streaming responses with real-time chunk delivery
+ * - Multimodal capabilities and configurable safety filtering
+ * - System instruction handling separate from conversation flow
+ *
 * @author Jan-Marlon Leibl
- * @version 1.0.0
 * @see https://ai.google.dev/docs
 */

-import { GoogleGenerativeAI, GenerativeModel } from '@google/generative-ai';
-import type { Content, Part, GenerationConfig, SafetySetting } from '@google/generative-ai';
+import { GoogleGenAI } from '@google/genai';
+import type {
+  Content,
+  GenerateContentConfig,
+  GenerateContentResponse,
+  SafetySetting
+} from '@google/genai';
 import type {
  AIProviderConfig,
  CompletionParams,
@@ -44,84 +38,39 @@ import { AIProviderError, AIErrorType } from '../types/index.js';

 /**
 * Configuration interface for Gemini provider with Google-specific options.
- * 
- * @example
- * ```typescript
- * const config: GeminiConfig = {
- *   apiKey: process.env.GOOGLE_API_KEY!,
- *   defaultModel: 'gemini-1.5-pro',
- *   safetySettings: [
- *     {
- *       category: HarmCategory.HARM_CATEGORY_HARASSMENT,
- *       threshold: HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE,
- *     }
- *   ],
- *   generationConfig: {
- *     temperature: 0.7,
- *     topP: 0.8,
- *     topK: 40,
- *     maxOutputTokens: 2048
- *   }
- * };
- * ```
 */
 export interface GeminiConfig extends AIProviderConfig {
-  /** 
+  /**
   * Default Gemini model to use for requests.
-   * 
+   *
   * Recommended models:
-   * - 'gemini-1.5-pro': Flagship model, best overall performance and multimodal
-   * - 'gemini-1.5-flash': Faster and cheaper, good for simple tasks
-   * - 'gemini-1.0-pro': Previous generation, cost-effective
-   * - 'gemini-pro-vision': Specialized for vision tasks (legacy)
-   * 
-   * @default 'gemini-1.5-flash'
+   * - 'gemini-2.5-flash': Latest fast model, great default
+   * - 'gemini-2.5-pro': Flagship reasoning model
+   * - 'gemini-2.0-flash': Previous generation fast model
+   * - 'gemini-1.5-pro': Long-context flagship from the 1.5 generation
+   *
+   * @default 'gemini-2.5-flash'
   */
  defaultModel?: string;

-  /** 
-   * Safety settings for content filtering and harm prevention.
-   * 
-   * Gemini includes built-in safety filtering across multiple categories:
-   * - Harassment and bullying
-   * - Hate speech and discrimination
-   * - Sexually explicit content
-   * - Dangerous or harmful activities
-   * 
-   * Each category can be configured with different blocking thresholds.
-   * 
-   * @see https://ai.google.dev/docs/safety_setting
-   */
+  /** Safety settings for content filtering and harm prevention. */
  safetySettings?: SafetySetting[];

-  /** 
-   * Generation configuration for controlling output characteristics.
-   * 
-   * This allows fine-tuned control over the generation process including
-   * creativity, diversity, length, and stopping conditions.
-   * 
-   * @see https://ai.google.dev/docs/concepts#generation_configuration
-   */
+  /** Default generation configuration applied to every request. */
  generationConfig?: {
-    /** Controls randomness in generation (0.0 to 1.0) */
    temperature?: number;
-    /** Controls nucleus sampling for diversity (0.0 to 1.0) */
    topP?: number;
-    /** Controls top-k sampling for diversity (positive integer) */
    topK?: number;
-    /** Maximum number of tokens to generate */
    maxOutputTokens?: number;
-    /** Sequences that will stop generation when encountered */
    stopSequences?: string[];
  };
 }

 /**
 * Processed messages structure for Gemini's conversation format.
- * Separates system instructions from conversational content.
 */
 interface ProcessedMessages {
-  /** System instruction for model behavior (if any) */
+  /** System instruction string (if any) */
  systemInstruction?: string;
  /** Conversation content in Gemini's format */
  contents: Content[];
@@ -132,80 +81,24 @@ interface ProcessedMessages {
 // ============================================================================

 /**
- * Google Gemini provider implementation.
- * 
- * This class handles all interactions with Google's Gemini models through their
- * official Generative AI SDK. It provides optimized handling of Gemini's unique
- * features including multimodal inputs, safety filtering, and advanced generation control.
- * 
- * Usage Pattern:
- * 1. Create instance with Google API key and configuration
- * 2. Call initialize() to set up client and validate credentials
- * 3. Use complete() or stream() for text generation
- * 4. Handle any AIProviderError exceptions appropriately
- * 
- * @example
- * ```typescript
- * const gemini = new GeminiProvider({
- *   apiKey: process.env.GOOGLE_API_KEY!,
- *   defaultModel: 'gemini-1.5-pro',
- *   generationConfig: {
- *     temperature: 0.7,
- *     maxOutputTokens: 2048
- *   }
- * });
- * 
- * await gemini.initialize();
- * 
- * const response = await gemini.complete({
- *   messages: [
- *     { role: 'system', content: 'You are a helpful research assistant.' },
- *     { role: 'user', content: 'Explain quantum computing.' }
- *   ],
- *   maxTokens: 1000,
- *   temperature: 0.8
- * });
- * ```
+ * Google Gemini provider implementation backed by @google/genai.
+ *
+ * The new SDK is stateless w.r.t. model selection — each `generateContent` call
+ * specifies the model directly, so this class only holds a single client.
 */
 export class GeminiProvider extends BaseAIProvider {
-  // ========================================================================
-  // INSTANCE PROPERTIES
-  // ========================================================================
-
-  /** Google Generative AI client instance (initialized during doInitialize) */
-  private client: GoogleGenerativeAI | null = null;
-  
-  /** Default model instance for requests */
-  private model: GenerativeModel | null = null;
-  
-  /** Default model identifier for requests */
+  private client: GoogleGenAI | null = null;
  private readonly defaultModel: string;
-  
-  /** Safety settings for content filtering */
  private readonly safetySettings?: SafetySetting[];
-  
-  /** Generation configuration defaults */
-  private readonly generationConfig?: any;
+  private readonly defaultGenerationConfig?: GeminiConfig['generationConfig'];

-  // ========================================================================
-  // CONSTRUCTOR
-  // ========================================================================
-
-  /**
-   * Creates a new Gemini provider instance.
-   * 
-   * @param config - Gemini-specific configuration options
-   * @throws {AIProviderError} If configuration validation fails
-   */
  constructor(config: GeminiConfig) {
    super(config);
-    
-    // Set Gemini-specific defaults
-    this.defaultModel = config.defaultModel || 'gemini-1.5-flash';
+
+    this.defaultModel = config.defaultModel || 'gemini-2.5-flash';
    this.safetySettings = config.safetySettings;
-    this.generationConfig = config.generationConfig;
-    
-    // Validate model name format
+    this.defaultGenerationConfig = config.generationConfig;
+
    this.validateModelName(this.defaultModel);
  }

@@ -213,38 +106,14 @@ export class GeminiProvider extends BaseAIProvider {
  // PROTECTED TEMPLATE METHOD IMPLEMENTATIONS
  // ========================================================================

-  /**
-   * Initializes the Gemini provider by setting up the client and model.
-   * 
-   * This method:
-   * 1. Creates the Google Generative AI client with API key
-   * 2. Sets up the default model with safety and generation settings
-   * 3. Tests the connection with a minimal API call
-   * 4. Validates API key permissions and model access
-   * 
-   * @protected
-   * @throws {Error} If client creation or connection validation fails
-   */
  protected async doInitialize(): Promise<void> {
    try {
-      // Create Google Generative AI client
-      this.client = new GoogleGenerativeAI(this.config.apiKey);
-      
-      // Set up default model with configuration
-      this.model = this.client.getGenerativeModel({
-        model: this.defaultModel,
-        safetySettings: this.safetySettings,
-        generationConfig: this.generationConfig
-      });
+      this.client = new GoogleGenAI({ apiKey: this.config.apiKey });

-      // Validate connection and permissions
      await this.validateConnection();
-      
    } catch (error) {
-      // Clean up on failure
      this.client = null;
-      this.model = null;
-      
+
      throw new AIProviderError(
        `Failed to initialize Gemini provider: ${(error as Error).message}`,
        AIErrorType.AUTHENTICATION,
@@ -254,113 +123,43 @@ export class GeminiProvider extends BaseAIProvider {
    }
  }

-  /**
-   * Generates a text completion using Gemini's generation API.
-   * 
-   * This method:
-   * 1. Converts messages to Gemini's format with system instructions
-   * 2. Chooses between single-turn and multi-turn conversation modes
-   * 3. Makes API call with comprehensive error handling
-   * 4. Formats response to standard interface
-   * 
-   * @protected
-   * @param params - Validated completion parameters
-   * @returns Promise resolving to formatted completion response
-   * @throws {Error} If API request fails
-   */
  protected async doComplete(params: CompletionParams): Promise<CompletionResponse<string>> {
-    if (!this.client || !this.model) {
+    if (!this.client) {
      throw new AIProviderError('Gemini client not initialized', AIErrorType.INVALID_REQUEST);
    }

    try {
-      // Get the model for this request (might be different from default)
-      const model = this.getModelForRequest(params);
      const { systemInstruction, contents } = this.convertMessages(params.messages);
-      
-      // Choose appropriate generation method based on conversation length
-      if (contents.length > 1) {
-        // Multi-turn conversation - use chat session
-        const chat = model.startChat({
-          history: contents.slice(0, -1),
-          systemInstruction,
-          generationConfig: this.buildGenerationConfig(params)
-        });
-        
-        const lastMessage = contents[contents.length - 1];
-        if (!lastMessage) {
-          throw new AIProviderError('No valid messages provided', AIErrorType.INVALID_REQUEST);
-        }
-        
-        const result = await chat.sendMessage(lastMessage.parts);
-        return this.formatCompletionResponse(result.response, params.model || this.defaultModel);
-        
-      } else {
-        // Single message - use generateContent
-        const result = await model.generateContent({
-          contents,
-          systemInstruction,
-          generationConfig: this.buildGenerationConfig(params)
-        });
-        
-        return this.formatCompletionResponse(result.response, params.model || this.defaultModel);
-      }
+      const model = params.model || this.defaultModel;
+
+      const response = await this.client.models.generateContent({
+        model,
+        contents,
+        config: this.buildConfig(params, systemInstruction)
+      });
+
+      return this.formatCompletionResponse(response, model);
    } catch (error) {
      throw this.handleGeminiError(error as Error);
    }
  }

-  /**
-   * Generates a streaming text completion using Gemini's streaming API.
-   * 
-   * This method:
-   * 1. Sets up appropriate streaming mode based on conversation type
-   * 2. Handles real-time stream chunks from Gemini
-   * 3. Tracks token usage throughout the stream
-   * 4. Yields formatted chunks with proper completion tracking
-   * 
-   * @protected
-   * @param params - Validated completion parameters
-   * @returns AsyncIterable yielding completion chunks
-   * @throws {Error} If streaming request fails
-   */
  protected async *doStream<T = any>(params: CompletionParams<T>): AsyncIterable<CompletionChunk> {
-    if (!this.client || !this.model) {
+    if (!this.client) {
      throw new AIProviderError('Gemini client not initialized', AIErrorType.INVALID_REQUEST);
    }

    try {
-      // Get the model for this request
-      const model = this.getModelForRequest(params);
      const { systemInstruction, contents } = this.convertMessages(params.messages);
-      
-      // Set up streaming based on conversation type
-      let stream;
-      if (contents.length > 1) {
-        // Multi-turn conversation
-        const chat = model.startChat({
-          history: contents.slice(0, -1),
-          systemInstruction,
-          generationConfig: this.buildGenerationConfig(params)
-        });
-        
-        const lastMessage = contents[contents.length - 1];
-        if (!lastMessage) {
-          throw new AIProviderError('No valid messages provided', AIErrorType.INVALID_REQUEST);
-        }
-        stream = await chat.sendMessageStream(lastMessage.parts);
-      } else {
-        // Single message
-        stream = await model.generateContentStream({
-          contents,
-          systemInstruction,
-          generationConfig: this.buildGenerationConfig(params)
-        });
-      }
+      const model = params.model || this.defaultModel;
+
+      const stream = await this.client.models.generateContentStream({
+        model,
+        contents,
+        config: this.buildConfig(params, systemInstruction)
+      });

-      // Process stream chunks
      yield* this.processStreamChunks(stream);
-      
    } catch (error) {
      throw this.handleGeminiError(error as Error);
    }
@@ -370,35 +169,28 @@ export class GeminiProvider extends BaseAIProvider {
  // PUBLIC INTERFACE METHODS
  // ========================================================================

-  /**
-   * Returns comprehensive information about the Gemini provider.
-   * 
-   * @returns Provider information including models, capabilities, and limits
-   */
  public getInfo(): ProviderInfo {
    return {
      name: 'Gemini',
-      version: '1.0.0',
+      version: '2.0.0',
      models: [
-        'gemini-1.5-pro',          // Latest flagship model
-        'gemini-1.5-flash',        // Fast and efficient variant
-        'gemini-1.0-pro',          // Previous generation
-        'gemini-pro-vision',       // Vision-specialized (legacy)
-        'gemini-1.5-pro-vision',   // Latest vision model
-        'gemini-1.0-pro-latest',   // Latest 1.0 variant
-        'gemini-1.5-pro-latest'    // Latest 1.5 variant
+        'gemini-2.5-pro',
+        'gemini-2.5-flash',
+        'gemini-2.0-flash',
+        'gemini-1.5-pro',
+        'gemini-1.5-flash'
      ],
-      maxContextLength: 1048576,  // ~1M tokens for Gemini 1.5
+      maxContextLength: 1048576,
      supportsStreaming: true,
      capabilities: {
-        vision: true,               // Advanced multimodal capabilities
-        functionCalling: true,      // Tool use and function calling
-        jsonMode: true,             // Structured JSON output
-        systemMessages: true,       // System instructions support
-        reasoning: true,            // Strong reasoning capabilities
-        codeGeneration: true,       // Excellent at programming tasks
-        multimodal: true,           // Text, image, video understanding
-        safetyFiltering: true      // Built-in content safety
+        vision: true,
+        functionCalling: true,
+        jsonMode: true,
+        systemMessages: true,
+        reasoning: true,
+        codeGeneration: true,
+        multimodal: true,
+        safetyFiltering: true
      }
    };
  }
@@ -407,26 +199,18 @@ export class GeminiProvider extends BaseAIProvider {
  // PRIVATE UTILITY METHODS
  // ========================================================================

-  /**
-   * Validates the connection by making a minimal test request.
-   * 
-   * @private
-   * @throws {AIProviderError} If connection validation fails
-   */
  private async validateConnection(): Promise<void> {
-    if (!this.model) {
-      throw new Error('Model not initialized');
+    if (!this.client) {
+      throw new Error('Client not initialized');
    }

    try {
-      // Make minimal request to test connection and permissions
-      await this.model.generateContent({
+      await this.client.models.generateContent({
+        model: this.defaultModel,
        contents: [{ role: 'user', parts: [{ text: 'Hi' }] }],
-        generationConfig: { maxOutputTokens: 1 }
+        config: { maxOutputTokens: 1 }
      });
-      
    } catch (error: any) {
-      // Handle specific validation errors
      if (error.message?.includes('API key')) {
        throw new AIProviderError(
          'Invalid Google API key. Please verify your API key from https://aistudio.google.com/app/apikey',
@@ -434,7 +218,7 @@ export class GeminiProvider extends BaseAIProvider {
          error.status
        );
      }
-      
+
      if (error.message?.includes('quota') || error.message?.includes('billing')) {
        throw new AIProviderError(
          'API quota exceeded or billing issue. Please check your Google Cloud billing and API quotas.',
@@ -442,7 +226,7 @@ export class GeminiProvider extends BaseAIProvider {
          error.status
        );
      }
-      
+
      if (error.message?.includes('model')) {
        throw new AIProviderError(
          `Model '${this.defaultModel}' is not available. Please check the model name or your API access level.`,
@@ -450,19 +234,11 @@ export class GeminiProvider extends BaseAIProvider {
          error.status
        );
      }
-      
-      // For other errors during validation, log but don't fail initialization
+
      console.warn('Gemini connection validation warning:', error.message);
    }
  }

-  /**
-   * Validates model name format for Gemini models.
-   * 
-   * @private
-   * @param modelName - Model name to validate
-   * @throws {AIProviderError} If model name format is invalid
-   */
  private validateModelName(modelName: string): void {
    if (!modelName || typeof modelName !== 'string') {
      throw new AIProviderError(
@@ -471,65 +247,30 @@ export class GeminiProvider extends BaseAIProvider {
      );
    }

-    // Gemini model names follow specific patterns
    const validPatterns = [
-      /^gemini-1\.5-pro(?:-latest|-vision)?$/,     // e.g., gemini-1.5-pro, gemini-1.5-pro-latest
-      /^gemini-1\.5-flash(?:-latest)?$/,           // e.g., gemini-1.5-flash, gemini-1.5-flash-latest
-      /^gemini-1\.0-pro(?:-latest|-vision)?$/,     // e.g., gemini-1.0-pro, gemini-pro-vision
-      /^gemini-pro(?:-vision)?$/,                  // Legacy names: gemini-pro, gemini-pro-vision
-      /^models\/gemini-.+$/                        // Full model path format
+      /^gemini-2\.5-(?:pro|flash)(?:-lite)?(?:-\d{4}-\d{2}-\d{2})?$/,
+      /^gemini-2\.0-(?:pro|flash)(?:-lite)?(?:-\d{4}-\d{2}-\d{2})?$/,
+      /^gemini-1\.5-pro(?:-latest|-vision)?$/,
+      /^gemini-1\.5-flash(?:-latest|-8b)?$/,
+      /^gemini-1\.0-pro(?:-latest|-vision)?$/,
+      /^gemini-pro(?:-vision)?$/,
+      /^models\/gemini-.+$/
    ];

    const isValid = validPatterns.some(pattern => pattern.test(modelName));
-    
+
    if (!isValid) {
      console.warn(`Model name '${modelName}' doesn't match expected Gemini naming patterns. This may cause API errors.`);
    }
  }

-  /**
-   * Gets the appropriate model instance for a request.
-   * 
-   * @private
-   * @param params - Completion parameters
-   * @returns GenerativeModel instance
-   */
-  private getModelForRequest(params: CompletionParams): GenerativeModel {
-    if (!this.client) {
-      throw new Error('Client not initialized');
-    }
-
-    // Use default model if no specific model requested
-    if (!params.model || params.model === this.defaultModel) {
-      return this.model!;
-    }
-
-    // Create new model instance for different model
-    return this.client.getGenerativeModel({
-      model: params.model,
-      safetySettings: this.safetySettings,
-      generationConfig: this.buildGenerationConfig(params)
-    });
-  }
-
-  /**
-   * Converts generic messages to Gemini's conversation format.
-   * 
-   * Gemini handles system messages as separate system instructions
-   * rather than part of the conversation flow.
-   * 
-   * @private
-   * @param messages - Input messages array
-   * @returns Processed messages with system instruction separated
-   */
  private convertMessages(messages: AIMessage[]): ProcessedMessages {
    let systemInstruction: string | undefined;
    const contents: Content[] = [];

    for (const message of messages) {
      if (message.role === 'system') {
-        // Combine multiple system messages
-        systemInstruction = systemInstruction 
+        systemInstruction = systemInstruction
          ? `${systemInstruction}\n\n${message.content}`
          : message.content;
      } else {
@@ -543,59 +284,61 @@ export class GeminiProvider extends BaseAIProvider {
    return { systemInstruction, contents };
  }

-  /**
-   * Builds generation configuration from completion parameters.
-   * 
-   * @private
-   * @param params - Completion parameters
-   * @returns Gemini generation configuration
-   */
-  private buildGenerationConfig(params: CompletionParams): GenerationConfig {
-    return {
-      temperature: params.temperature ?? this.generationConfig?.temperature ?? 0.7,
-      topP: params.topP ?? this.generationConfig?.topP,
-      topK: this.generationConfig?.topK,
-      maxOutputTokens: params.maxTokens ?? this.generationConfig?.maxOutputTokens ?? 1000,
-      stopSequences: params.stopSequences ?? this.generationConfig?.stopSequences
+  private buildConfig(
+    params: CompletionParams,
+    systemInstruction?: string
+  ): GenerateContentConfig {
+    const defaults = this.defaultGenerationConfig;
+
+    const config: GenerateContentConfig = {
+      temperature: params.temperature ?? defaults?.temperature ?? 0.7,
+      maxOutputTokens: params.maxTokens ?? defaults?.maxOutputTokens ?? 1000
    };
+
+    const topP = params.topP ?? defaults?.topP;
+    if (topP !== undefined) config.topP = topP;
+
+    if (defaults?.topK !== undefined) config.topK = defaults.topK;
+
+    const stopSequences = params.stopSequences ?? defaults?.stopSequences;
+    if (stopSequences) config.stopSequences = stopSequences;
+
+    if (systemInstruction) config.systemInstruction = systemInstruction;
+    if (this.safetySettings) config.safetySettings = this.safetySettings;
+
+    return config;
  }

-  /**
-   * Processes streaming response chunks from Gemini API.
-   * 
-   * @private
-   * @param stream - Gemini streaming response
-   * @returns AsyncIterable of formatted completion chunks
-   */
-  private async *processStreamChunks(stream: any): AsyncIterable<CompletionChunk> {
-    let fullText = '';
-    const requestId = `gemini-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`;
+  private async *processStreamChunks(
+    stream: AsyncGenerator<GenerateContentResponse>
+  ): AsyncIterable<CompletionChunk> {
+    const requestId = `gemini-${Date.now()}-${Math.random().toString(36).slice(2, 11)}`;
+    let lastUsage: GenerateContentResponse['usageMetadata'] | undefined;

    try {
-      // Process streaming chunks
-      for await (const chunk of stream.stream) {
-        const chunkText = chunk.text();
-        fullText += chunkText;
-        
-        yield {
-          content: chunkText,
-          isComplete: false,
-          id: requestId
-        };
+      for await (const chunk of stream) {
+        if (chunk.usageMetadata) {
+          lastUsage = chunk.usageMetadata;
+        }
+
+        const text = chunk.text;
+        if (text) {
+          yield {
+            content: text,
+            isComplete: false,
+            id: requestId
+          };
+        }
      }

-      // Final chunk with usage information
-      const finalResponse = await stream.response;
-      const usageMetadata = finalResponse.usageMetadata;
-      
      yield {
        content: '',
        isComplete: true,
        id: requestId,
        usage: {
-          promptTokens: usageMetadata?.promptTokenCount || 0,
-          completionTokens: usageMetadata?.candidatesTokenCount || 0,
-          totalTokens: usageMetadata?.totalTokenCount || 0
+          promptTokens: lastUsage?.promptTokenCount || 0,
+          completionTokens: lastUsage?.candidatesTokenCount || 0,
+          totalTokens: lastUsage?.totalTokenCount || 0
        }
      };
    } catch (error) {
@@ -608,38 +351,11 @@ export class GeminiProvider extends BaseAIProvider {
    }
  }

-  /**
-   * Formats Gemini's response to our standard interface.
-   * 
-   * @private
-   * @param response - Raw Gemini API response
-   * @param model - Model used for generation
-   * @returns Formatted completion response
-   * @throws {AIProviderError} If response format is unexpected
-   */
-  private formatCompletionResponse(response: any, model: string): CompletionResponse<string> {
-    // Handle multiple text parts in the response
-    const candidate = response.candidates?.[0];
-    if (!candidate) {
-      throw new AIProviderError(
-        'No candidates found in Gemini response',
-        AIErrorType.UNKNOWN
-      );
-    }
-
-    const content = candidate.content;
-    if (!content || !content.parts) {
-      throw new AIProviderError(
-        'No content found in Gemini response',
-        AIErrorType.UNKNOWN
-      );
-    }
-
-    // Combine all text parts
-    const text = content.parts
-      .filter((part: any) => part.text)
-      .map((part: any) => part.text)
-      .join('');
+  private formatCompletionResponse(
+    response: GenerateContentResponse,
+    model: string
+  ): CompletionResponse<string> {
+    const text = response.text;

    if (!text) {
      throw new AIProviderError(
@@ -648,9 +364,11 @@ export class GeminiProvider extends BaseAIProvider {
      );
    }

+    const candidate = response.candidates?.[0];
+
    return {
      content: text,
-      model: model,
+      model,
      usage: {
        promptTokens: response.usageMetadata?.promptTokenCount || 0,
        completionTokens: response.usageMetadata?.candidatesTokenCount || 0,
@@ -658,23 +376,13 @@ export class GeminiProvider extends BaseAIProvider {
      },
      id: `gemini-${Date.now()}`,
      metadata: {
-        finishReason: candidate.finishReason,
-        safetyRatings: candidate.safetyRatings,
-        citationMetadata: candidate.citationMetadata
+        finishReason: candidate?.finishReason,
+        safetyRatings: candidate?.safetyRatings,
+        citationMetadata: candidate?.citationMetadata
      }
    };
  }

-  /**
-   * Handles and transforms Gemini-specific errors.
-   * 
-   * This method maps Gemini's error responses to our standardized
-   * error format, providing helpful context and actionable suggestions.
-   * 
-   * @private
-   * @param error - Original error from Gemini API
-   * @returns Normalized AIProviderError
-   */
  private handleGeminiError(error: any): AIProviderError {
    if (error instanceof AIProviderError) {
      return error;
@@ -683,7 +391,6 @@ export class GeminiProvider extends BaseAIProvider {
    const message = error.message || 'Unknown Gemini API error';
    const status = error.status || error.statusCode;

-    // Map Gemini-specific error patterns
    if (message.includes('API key')) {
      return new AIProviderError(
        'Invalid Google API key. Please verify your API key from https://aistudio.google.com/app/apikey',
@@ -747,7 +454,6 @@ export class GeminiProvider extends BaseAIProvider {
      );
    }

-    // Handle HTTP status codes
    switch (status) {
      case 400:
        return new AIProviderError(
@@ -801,4 +507,4 @@ export class GeminiProvider extends BaseAIProvider {
        );
    }
  }
-} 
+}
--- a/tsconfig.build.json
+++ b/tsconfig.build.json
@@ -5,7 +5,8 @@
    "emitDeclarationOnly": true,
    "declaration": true,
    "outDir": "./dist",
-    "moduleResolution": "node",
+    "rootDir": "./src",
+    "moduleResolution": "bundler",
    "verbatimModuleSyntax": false
  },
  "include": [
Author	SHA1	Message	Date
Jan-Marlon Leibl	797fad1b00	chore(release): 2.0.0 Major release: @google/generative-ai → @google/genai migration changes the type signature of GeminiConfig.safetySettings, which is a breaking change for consumers using that option. Other changes accumulated since 1.3.3: - @anthropic-ai/sdk 0.65 → 0.97 - openai 4 → 6 - @types/node 24 → 25 - TypeScript 6 support (peer widened to ^5 \|\| ^6) - Default Gemini model: gemini-1.5-flash → gemini-2.5-flash	2026-05-21 12:56:46 +02:00
jleibl	fbe66623a1	Merge pull request 'chore(deps)!: migrate from @google/generative-ai to @google/genai' (#6 ) from chore/deps-google-genai-migration into main Reviewed-on: #6	2026-05-21 10:56:04 +00:00
Jan-Marlon Leibl	c658c67a0c	chore(deps)!: migrate from @google/generative-ai to @google/genai The @google/generative-ai SDK has been deprecated by Google. This switches to the successor @google/genai package and rewrites the Gemini provider against the new stateless models/chats API. BREAKING CHANGE: GeminiConfig.safetySettings now uses the SafetySetting type from @google/genai. Consumers passing this field must update their import from '@google/generative-ai' to '@google/genai'. The shape of the type is similar but not identical. Notable simplifications enabled by the new SDK: - No per-model client caching: generateContent specifies model per-call - Single code path for both single- and multi-turn (full contents array is passed to generateContent directly; no more startChat branching) - Stream chunks expose .text as a property (was .text() method) - Stream iteration is direct on the response (no .stream sub-property) Default model bumped from gemini-1.5-flash to gemini-2.5-flash.	2026-05-21 12:54:48 +02:00
jleibl	442e535d17	Merge pull request 'chore(deps): support TypeScript 6 (widen peer to ^5 \|\| ^6)' (#5 ) from chore/deps-typescript-6 into main Reviewed-on: #5	2026-05-21 10:49:23 +00:00
Jan-Marlon Leibl	bcdf04a77f	chore(deps): support TypeScript 6 (widen peer to ^5 \|\| ^6) - Add typescript ^6.0.0 as devDependency for verified builds - Widen peerDependency to ^5 \|\| ^6 to keep TS 5 consumers supported - tsconfig.build.json: set explicit rootDir (required by TS 6 when outDir is set) - tsconfig.build.json: replace deprecated moduleResolution "node" with "bundler"	2026-05-21 12:49:05 +02:00
jleibl	10dcb9da85	Merge pull request 'chore(deps): update openai to ^6.0.0' (#4 ) from chore/deps-openai-v6 into main Reviewed-on: #4	2026-05-21 10:46:42 +00:00
Jan-Marlon Leibl	a596d0adc3	chore(deps): update openai to ^6.0.0	2026-05-21 12:46:30 +02:00
jleibl	7b3a8297b8	Merge pull request 'chore(deps): update @anthropic-ai/sdk to ^0.97.0' (#3 ) from chore/deps-anthropic-sdk-0.97 into main Reviewed-on: #3	2026-05-21 10:45:53 +00:00
Jan-Marlon Leibl	b58e1d833f	chore(deps): update @anthropic-ai/sdk to ^0.97.0	2026-05-21 12:42:26 +02:00
jleibl	5c95c972ce	Merge pull request 'chore(deps): update @types/node to v25' (#2 ) from chore/deps-types-node-25 into main Reviewed-on: #2	2026-05-21 10:41:46 +00:00
Jan-Marlon Leibl	a476ec7b25	chore(deps): update @types/node to v25	2026-05-21 12:41:25 +02:00