diff --git a/README.md b/README.md index dc118b6..103bdb9 100644 --- a/README.md +++ b/README.md @@ -29,7 +29,12 @@ Requires Node.js >= 18. npm install @jackchen_me/open-multi-agent ``` -Set `ANTHROPIC_API_KEY` (and optionally `OPENAI_API_KEY` or `GITHUB_TOKEN` for Copilot) in your environment. Local models via Ollama require no API key — see [example 06](examples/06-local-model.ts). +Set the API key for your provider. Local models via Ollama require no API key — see [example 06](examples/06-local-model.ts). + +- `ANTHROPIC_API_KEY` +- `OPENAI_API_KEY` +- `GEMINI_API_KEY` +- `GITHUB_TOKEN` (for Copilot) Three agents, one goal — the framework handles the rest: @@ -156,6 +161,7 @@ npx tsx examples/01-single-agent.ts │ - stream() │ │ - AnthropicAdapter │ └────────┬──────────┘ │ - OpenAIAdapter │ │ │ - CopilotAdapter │ + │ │ - GeminiAdapter │ │ └──────────────────────┘ ┌────────▼──────────┐ │ AgentRunner │ ┌──────────────────────┐ @@ -183,6 +189,7 @@ npx tsx examples/01-single-agent.ts | OpenAI (GPT) | `provider: 'openai'` | `OPENAI_API_KEY` | Verified | | Grok (xAI) | `provider: 'grok'` | `XAI_API_KEY` | Verified | | GitHub Copilot | `provider: 'copilot'` | `GITHUB_TOKEN` | Verified | +| Gemini | `provider: 'gemini'` | `GEMINI_API_KEY` | Verified | | Ollama / vLLM / LM Studio | `provider: 'openai'` + `baseURL` | — | Verified | | llama.cpp server | `provider: 'openai'` + `baseURL` | — | Verified | diff --git a/README_zh.md b/README_zh.md index a8b680c..7a4acc1 100644 --- a/README_zh.md +++ b/README_zh.md @@ -155,6 +155,7 @@ npx tsx examples/01-single-agent.ts │ - stream() │ │ - AnthropicAdapter │ └────────┬──────────┘ │ - OpenAIAdapter │ │ │ - CopilotAdapter │ + │ │ - GeminiAdapter │ │ └──────────────────────┘ ┌────────▼──────────┐ │ AgentRunner │ ┌──────────────────────┐ @@ -181,6 +182,7 @@ npx tsx examples/01-single-agent.ts | Anthropic (Claude) | `provider: 'anthropic'` | `ANTHROPIC_API_KEY` | 已验证 | | OpenAI (GPT) | `provider: 'openai'` | `OPENAI_API_KEY` | 已验证 | | GitHub Copilot | `provider: 'copilot'` | `GITHUB_TOKEN` | 已验证 | +| Gemini | `provider: 'gemini'` | `GEMINI_API_KEY` | 已验证 | | Ollama / vLLM / LM Studio | `provider: 'openai'` + `baseURL` | — | 已验证 | 已验证支持 tool-calling 的本地模型：**Gemma 4**（见[示例 08](examples/08-gemma4-local.ts)）。 diff --git a/examples/13-gemini.ts b/examples/13-gemini.ts new file mode 100644 index 0000000..ddbf0c1 --- /dev/null +++ b/examples/13-gemini.ts @@ -0,0 +1,48 @@ +/** + * Quick smoke test for the Gemini adapter. + * + * Run: + * npx tsx examples/13-gemini.ts + * + * If GEMINI_API_KEY is not set, the adapter will not work. + */ + +import { OpenMultiAgent } from '../src/index.js' +import type { OrchestratorEvent } from '../src/types.js' + +const orchestrator = new OpenMultiAgent({ + defaultModel: 'gemini-2.5-flash', + defaultProvider: 'gemini', + onProgress: (event: OrchestratorEvent) => { + if (event.type === 'agent_start') { + console.log(`[start] agent=${event.agent}`) + } else if (event.type === 'agent_complete') { + console.log(`[complete] agent=${event.agent}`) + } + }, +}) + +console.log('Testing Gemini adapter with gemini-2.5-flash...\n') + +const result = await orchestrator.runAgent( + { + name: 'assistant', + model: 'gemini-2.5-flash', + provider: 'gemini', + systemPrompt: 'You are a helpful assistant. Keep answers brief.', + maxTurns: 1, + maxTokens: 256, + }, + 'What is 2 + 2? Reply in one sentence.', +) + +if (result.success) { + console.log('\nAgent output:') + console.log('─'.repeat(60)) + console.log(result.output) + console.log('─'.repeat(60)) + console.log(`\nTokens: input=${result.tokenUsage.input_tokens}, output=${result.tokenUsage.output_tokens}`) +} else { + console.error('Agent failed:', result.output) + process.exit(1) +} diff --git a/package-lock.json b/package-lock.json index 0b541e2..9c25491 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,12 +1,12 @@ { "name": "@jackchen_me/open-multi-agent", - "version": "0.1.0", + "version": "0.2.0", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "@jackchen_me/open-multi-agent", - "version": "0.1.0", + "version": "0.2.0", "license": "MIT", "dependencies": { "@anthropic-ai/sdk": "^0.52.0", @@ -21,6 +21,14 @@ }, "engines": { "node": ">=18.0.0" + }, + "peerDependencies": { + "@google/genai": "^1.48.0" + }, + "peerDependenciesMeta": { + "@google/genai": { + "optional": true + } } }, "node_modules/@anthropic-ai/sdk": { @@ -33,9 +41,9 @@ } }, "node_modules/@esbuild/aix-ppc64": { - "version": "0.21.5", - "resolved": "https://registry.npmmirror.com/@esbuild/aix-ppc64/-/aix-ppc64-0.21.5.tgz", - "integrity": "sha512-1SDgH6ZSPTlggy1yI6+Dbkiz8xzpHJEVAlF/AM1tHPLsf5STom9rwtjE4hKAF20FfXXNTFqEYXyJNWh1GiZedQ==", + "version": "0.27.7", + "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.27.7.tgz", + "integrity": "sha512-EKX3Qwmhz1eMdEJokhALr0YiD0lhQNwDqkPYyPhiSwKrh7/4KRjQc04sZ8db+5DVVnZ1LmbNDI1uAMPEUBnQPg==", "cpu": [ "ppc64" ], @@ -46,13 +54,13 @@ "aix" ], "engines": { - "node": ">=12" + "node": ">=18" } }, "node_modules/@esbuild/android-arm": { - "version": "0.21.5", - "resolved": "https://registry.npmmirror.com/@esbuild/android-arm/-/android-arm-0.21.5.tgz", - "integrity": "sha512-vCPvzSjpPHEi1siZdlvAlsPxXl7WbOVUBBAowWug4rJHb68Ox8KualB+1ocNvT5fjv6wpkX6o/iEpbDrf68zcg==", + "version": "0.27.7", + "resolved": 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"sha512-sAt8BhgNbzCtgGbt2OxmpuryO63ZoDk/sqaB/znQm94T4fCEsy/yV+7CdC1kJhOU9lboAEU7R3kquuycDoibVA==", + "license": "MIT", + "optional": true, + "peer": true, + "engines": { + "node": ">=10.0.0" + }, + "peerDependencies": { + "bufferutil": "^4.0.1", + "utf-8-validate": ">=5.0.2" + }, + "peerDependenciesMeta": { + "bufferutil": { + "optional": true + }, + "utf-8-validate": { + "optional": true + } + } + }, "node_modules/zod": { "version": "3.25.76", "resolved": "https://registry.npmmirror.com/zod/-/zod-3.25.76.tgz", diff --git a/package.json b/package.json index fc54d44..c14a184 100644 --- a/package.json +++ b/package.json @@ -41,6 +41,14 @@ "openai": "^4.73.0", "zod": "^3.23.0" }, + "peerDependencies": { + "@google/genai": "^1.48.0" + }, + "peerDependenciesMeta": { + "@google/genai": { + "optional": true + } + }, "devDependencies": { "@types/node": "^22.0.0", "tsx": "^4.21.0", diff --git a/src/llm/adapter.ts b/src/llm/adapter.ts index 98d4907..dc4fe82 100644 --- a/src/llm/adapter.ts +++ b/src/llm/adapter.ts @@ -11,6 +11,7 @@ * * const anthropic = createAdapter('anthropic') * const openai = createAdapter('openai', process.env.OPENAI_API_KEY) + * const gemini = createAdapter('gemini', process.env.GEMINI_API_KEY) * ``` */ @@ -37,7 +38,7 @@ import type { LLMAdapter } from '../types.js' * Additional providers can be integrated by implementing {@link LLMAdapter} * directly and bypassing this factory. */ -export type SupportedProvider = 'anthropic' | 'copilot' | 'grok' | 'openai' +export type SupportedProvider = 'anthropic' | 'copilot' | 'grok' | 'openai' | 'gemini' /** * Instantiate the appropriate {@link LLMAdapter} for the given provider. @@ -46,6 +47,7 @@ export type SupportedProvider = 'anthropic' | 'copilot' | 'grok' | 'openai' * explicitly: * - `anthropic` → `ANTHROPIC_API_KEY` * - `openai` → `OPENAI_API_KEY` + * - `gemini` → `GEMINI_API_KEY` / `GOOGLE_API_KEY` * - `grok` → `XAI_API_KEY` * - `copilot` → `GITHUB_COPILOT_TOKEN` / `GITHUB_TOKEN`, or interactive * OAuth2 device flow if neither is set @@ -75,6 +77,10 @@ export async function createAdapter( const { CopilotAdapter } = await import('./copilot.js') return new CopilotAdapter(apiKey) } + case 'gemini': { + const { GeminiAdapter } = await import('./gemini.js') + return new GeminiAdapter(apiKey) + } case 'openai': { const { OpenAIAdapter } = await import('./openai.js') return new OpenAIAdapter(apiKey, baseURL) diff --git a/src/llm/gemini.ts b/src/llm/gemini.ts new file mode 100644 index 0000000..f68d981 --- /dev/null +++ b/src/llm/gemini.ts @@ -0,0 +1,378 @@ +/** + * @fileoverview Google Gemini adapter implementing {@link LLMAdapter}. + * + * Built for `@google/genai` (the unified Google Gen AI SDK, v1.x), NOT the + * legacy `@google/generative-ai` package. + * + * Converts between the framework's internal {@link ContentBlock} types and the + * `@google/genai` SDK's wire format, handling tool definitions, system prompts, + * and both batch and streaming response paths. + * + * API key resolution order: + * 1. `apiKey` constructor argument + * 2. `GEMINI_API_KEY` environment variable + * 3. `GOOGLE_API_KEY` environment variable + * + * @example + * ```ts + * import { GeminiAdapter } from './gemini.js' + * + * const adapter = new GeminiAdapter() + * const response = await adapter.chat(messages, { + * model: 'gemini-2.5-flash', + * maxTokens: 1024, + * }) + * ``` + */ + +import { + GoogleGenAI, + FunctionCallingConfigMode, + type Content, + type FunctionDeclaration, + type GenerateContentConfig, + type GenerateContentResponse, + type Part, + type Tool as GeminiTool, +} from '@google/genai' + +import type { + ContentBlock, + LLMAdapter, + LLMChatOptions, + LLMMessage, + LLMResponse, + LLMStreamOptions, + LLMToolDef, + StreamEvent, + ToolUseBlock, +} from '../types.js' + +// --------------------------------------------------------------------------- +// Internal helpers +// --------------------------------------------------------------------------- + +/** + * Map framework role names to Gemini role names. + * + * Gemini uses `"model"` instead of `"assistant"`. + */ +function toGeminiRole(role: 'user' | 'assistant'): string { + return role === 'assistant' ? 'model' : 'user' +} + +/** + * Convert framework messages into Gemini's {@link Content}[] format. + * + * Key differences from Anthropic: + * - Gemini uses `"model"` instead of `"assistant"`. + * - `functionResponse` parts (tool results) must appear in `"user"` turns. + * - `functionCall` parts appear in `"model"` turns. + * - We build a name lookup map from tool_use blocks so tool_result blocks + * can resolve the function name required by Gemini's `functionResponse`. + */ +function toGeminiContents(messages: LLMMessage[]): Content[] { + // First pass: build id → name map for resolving tool results. + const toolNameById = new Map() + for (const msg of messages) { + for (const block of msg.content) { + if (block.type === 'tool_use') { + toolNameById.set(block.id, block.name) + } + } + } + + return messages.map((msg): Content => { + const parts: Part[] = msg.content.map((block): Part => { + switch (block.type) { + case 'text': + return { text: block.text } + + case 'tool_use': + return { + functionCall: { + id: block.id, + name: block.name, + args: block.input, + }, + } + + case 'tool_result': { + const name = toolNameById.get(block.tool_use_id) ?? block.tool_use_id + return { + functionResponse: { + id: block.tool_use_id, + name, + response: { + content: + typeof block.content === 'string' + ? block.content + : JSON.stringify(block.content), + isError: block.is_error ?? false, + }, + }, + } + } + + case 'image': + return { + inlineData: { + mimeType: block.source.media_type, + data: block.source.data, + }, + } + + default: { + const _exhaustive: never = block + throw new Error(`Unhandled content block type: ${JSON.stringify(_exhaustive)}`) + } + } + }) + + return { role: toGeminiRole(msg.role), parts } + }) +} + +/** + * Convert framework {@link LLMToolDef}s into a Gemini `tools` config array. + * + * In `@google/genai`, function declarations use `parametersJsonSchema` (not + * `parameters` or `input_schema`). All declarations are grouped under a single + * tool entry. + */ +function toGeminiTools(tools: readonly LLMToolDef[]): GeminiTool[] { + const functionDeclarations: FunctionDeclaration[] = tools.map((t) => ({ + name: t.name, + description: t.description, + parametersJsonSchema: t.inputSchema as Record, + })) + return [{ functionDeclarations }] +} + +/** + * Build the {@link GenerateContentConfig} shared by chat() and stream(). + */ +function buildConfig( + options: LLMChatOptions | LLMStreamOptions, +): GenerateContentConfig { + return { + maxOutputTokens: options.maxTokens ?? 4096, + temperature: options.temperature, + systemInstruction: options.systemPrompt, + tools: options.tools ? toGeminiTools(options.tools) : undefined, + toolConfig: options.tools + ? { functionCallingConfig: { mode: FunctionCallingConfigMode.AUTO } } + : undefined, + } +} + +/** + * Generate a stable pseudo-random ID string for tool use blocks. + * + * Gemini may not always return call IDs (especially in streaming), so we + * fabricate them when absent to satisfy the framework's {@link ToolUseBlock} + * contract. + */ +function generateId(): string { + return `gemini-${Date.now()}-${Math.random().toString(36).slice(2, 9)}` +} + +/** + * Extract the function call ID from a Gemini part, or generate one. + * + * The `id` field exists in newer API versions but may be absent in older + * responses, so we cast conservatively and fall back to a generated ID. + */ +function getFunctionCallId(part: Part): string { + return (part.functionCall as { id?: string } | undefined)?.id ?? generateId() +} + +/** + * Convert a Gemini {@link GenerateContentResponse} into a framework + * {@link LLMResponse}. + */ +function fromGeminiResponse( + response: GenerateContentResponse, + id: string, + model: string, +): LLMResponse { + const candidate = response.candidates?.[0] + const content: ContentBlock[] = [] + + for (const part of candidate?.content?.parts ?? []) { + if (part.text !== undefined && part.text !== '') { + content.push({ type: 'text', text: part.text }) + } else if (part.functionCall !== undefined) { + content.push({ + type: 'tool_use', + id: getFunctionCallId(part), + name: part.functionCall.name ?? '', + input: (part.functionCall.args ?? {}) as Record, + }) + } + // inlineData echoes and other part types are silently ignored. + } + + // Map Gemini finish reasons to framework stop_reason vocabulary. + const finishReason = candidate?.finishReason as string | undefined + let stop_reason: LLMResponse['stop_reason'] = 'end_turn' + if (finishReason === 'MAX_TOKENS') { + stop_reason = 'max_tokens' + } else if (content.some((b) => b.type === 'tool_use')) { + // Gemini may report STOP even when it returned function calls. + stop_reason = 'tool_use' + } + + const usage = response.usageMetadata + return { + id, + content, + model, + stop_reason, + usage: { + input_tokens: usage?.promptTokenCount ?? 0, + output_tokens: usage?.candidatesTokenCount ?? 0, + }, + } +} + +// --------------------------------------------------------------------------- +// Adapter implementation +// --------------------------------------------------------------------------- + +/** + * LLM adapter backed by the Google Gemini API via `@google/genai`. + * + * Thread-safe — a single instance may be shared across concurrent agent runs. + * The underlying SDK client is stateless across requests. + */ +export class GeminiAdapter implements LLMAdapter { + readonly name = 'gemini' + + readonly #client: GoogleGenAI + + constructor(apiKey?: string) { + this.#client = new GoogleGenAI({ + apiKey: apiKey ?? process.env['GEMINI_API_KEY'] ?? process.env['GOOGLE_API_KEY'], + }) + } + + // ------------------------------------------------------------------------- + // chat() + // ------------------------------------------------------------------------- + + /** + * Send a synchronous (non-streaming) chat request and return the complete + * {@link LLMResponse}. + * + * Uses `ai.models.generateContent()` with the full conversation as `contents`, + * which is the idiomatic pattern for `@google/genai`. + */ + async chat(messages: LLMMessage[], options: LLMChatOptions): Promise { + const id = generateId() + const contents = toGeminiContents(messages) + + const response = await this.#client.models.generateContent({ + model: options.model, + contents, + config: buildConfig(options), + }) + + return fromGeminiResponse(response, id, options.model) + } + + // ------------------------------------------------------------------------- + // stream() + // ------------------------------------------------------------------------- + + /** + * Send a streaming chat request and yield {@link StreamEvent}s as they + * arrive from the API. + * + * Uses `ai.models.generateContentStream()` which returns an + * `AsyncGenerator`. Each yielded chunk has the same + * shape as a full response but contains only the delta for that chunk. + * + * Because `@google/genai` doesn't expose a `finalMessage()` helper like the + * Anthropic SDK, we accumulate content and token counts as we stream so that + * the terminal `done` event carries a complete and accurate {@link LLMResponse}. + * + * Sequence guarantees (matching the Anthropic adapter): + * - Zero or more `text` events with incremental deltas + * - Zero or more `tool_use` events (one per call; Gemini doesn't stream args) + * - Exactly one terminal event: `done` or `error` + */ + async *stream( + messages: LLMMessage[], + options: LLMStreamOptions, + ): AsyncIterable { + const id = generateId() + const contents = toGeminiContents(messages) + + try { + const streamResponse = await this.#client.models.generateContentStream({ + model: options.model, + contents, + config: buildConfig(options), + }) + + // Accumulators for building the done payload. + const accumulatedContent: ContentBlock[] = [] + let inputTokens = 0 + let outputTokens = 0 + let lastFinishReason: string | undefined + + for await (const chunk of streamResponse) { + const candidate = chunk.candidates?.[0] + + // Accumulate token counts — the API emits these on the final chunk. + if (chunk.usageMetadata) { + inputTokens = chunk.usageMetadata.promptTokenCount ?? inputTokens + outputTokens = chunk.usageMetadata.candidatesTokenCount ?? outputTokens + } + if (candidate?.finishReason) { + lastFinishReason = candidate.finishReason as string + } + + for (const part of candidate?.content?.parts ?? []) { + if (part.text) { + accumulatedContent.push({ type: 'text', text: part.text }) + yield { type: 'text', data: part.text } satisfies StreamEvent + } else if (part.functionCall) { + const toolId = getFunctionCallId(part) + const toolUseBlock: ToolUseBlock = { + type: 'tool_use', + id: toolId, + name: part.functionCall.name ?? '', + input: (part.functionCall.args ?? {}) as Record, + } + accumulatedContent.push(toolUseBlock) + yield { type: 'tool_use', data: toolUseBlock } satisfies StreamEvent + } + } + } + + // Determine stop_reason from the accumulated response. + const hasToolUse = accumulatedContent.some((b) => b.type === 'tool_use') + let stop_reason: LLMResponse['stop_reason'] = 'end_turn' + if (lastFinishReason === 'MAX_TOKENS') { + stop_reason = 'max_tokens' + } else if (hasToolUse) { + stop_reason = 'tool_use' + } + + const finalResponse: LLMResponse = { + id, + content: accumulatedContent, + model: options.model, + stop_reason, + usage: { input_tokens: inputTokens, output_tokens: outputTokens }, + } + + yield { type: 'done', data: finalResponse } satisfies StreamEvent + } catch (err) { + const error = err instanceof Error ? err : new Error(String(err)) + yield { type: 'error', data: error } satisfies StreamEvent + } + } +} diff --git a/src/types.ts b/src/types.ts index df7fa3a..2887b6c 100644 --- a/src/types.ts +++ b/src/types.ts @@ -194,7 +194,7 @@ export interface BeforeRunHookContext { export interface AgentConfig { readonly name: string readonly model: string - readonly provider?: 'anthropic' | 'copilot' | 'grok' | 'openai' + readonly provider?: 'anthropic' | 'copilot' | 'grok' | 'openai' | 'gemini' /** * Custom base URL for OpenAI-compatible APIs (Ollama, vLLM, LM Studio, etc.). * Note: local servers that don't require auth still need `apiKey` set to a @@ -338,7 +338,7 @@ export interface OrchestratorEvent { export interface OrchestratorConfig { readonly maxConcurrency?: number readonly defaultModel?: string - readonly defaultProvider?: 'anthropic' | 'copilot' | 'grok' | 'openai' + readonly defaultProvider?: 'anthropic' | 'copilot' | 'grok' | 'openai' | 'gemini' readonly defaultBaseURL?: string readonly defaultApiKey?: string readonly onProgress?: (event: OrchestratorEvent) => void diff --git a/tests/gemini-adapter.test.ts b/tests/gemini-adapter.test.ts new file mode 100644 index 0000000..7402bba --- /dev/null +++ b/tests/gemini-adapter.test.ts @@ -0,0 +1,97 @@ +import { describe, it, expect, vi, beforeEach } from 'vitest' + +// --------------------------------------------------------------------------- +// Mock GoogleGenAI constructor (must be hoisted for Vitest) +// --------------------------------------------------------------------------- +const GoogleGenAIMock = vi.hoisted(() => vi.fn()) + +vi.mock('@google/genai', () => ({ + GoogleGenAI: GoogleGenAIMock, + FunctionCallingConfigMode: { AUTO: 'AUTO' }, +})) + +import { GeminiAdapter } from '../src/llm/gemini.js' +import { createAdapter } from '../src/llm/adapter.js' + +// --------------------------------------------------------------------------- +// GeminiAdapter tests +// --------------------------------------------------------------------------- + +describe('GeminiAdapter', () => { + beforeEach(() => { + GoogleGenAIMock.mockClear() + }) + + it('has name "gemini"', () => { + const adapter = new GeminiAdapter() + expect(adapter.name).toBe('gemini') + }) + + it('uses GEMINI_API_KEY by default', () => { + const originalGemini = process.env['GEMINI_API_KEY'] + const originalGoogle = process.env['GOOGLE_API_KEY'] + process.env['GEMINI_API_KEY'] = 'gemini-env-key' + delete process.env['GOOGLE_API_KEY'] + + try { + new GeminiAdapter() + expect(GoogleGenAIMock).toHaveBeenCalledWith( + expect.objectContaining({ + apiKey: 'gemini-env-key', + }), + ) + } finally { + if (originalGemini === undefined) { + delete process.env['GEMINI_API_KEY'] + } else { + process.env['GEMINI_API_KEY'] = originalGemini + } + if (originalGoogle === undefined) { + delete process.env['GOOGLE_API_KEY'] + } else { + process.env['GOOGLE_API_KEY'] = originalGoogle + } + } + }) + + it('falls back to GOOGLE_API_KEY when GEMINI_API_KEY is unset', () => { + const originalGemini = process.env['GEMINI_API_KEY'] + const originalGoogle = process.env['GOOGLE_API_KEY'] + delete process.env['GEMINI_API_KEY'] + process.env['GOOGLE_API_KEY'] = 'google-env-key' + + try { + new GeminiAdapter() + expect(GoogleGenAIMock).toHaveBeenCalledWith( + expect.objectContaining({ + apiKey: 'google-env-key', + }), + ) + } finally { + if (originalGemini === undefined) { + delete process.env['GEMINI_API_KEY'] + } else { + process.env['GEMINI_API_KEY'] = originalGemini + } + if (originalGoogle === undefined) { + delete process.env['GOOGLE_API_KEY'] + } else { + process.env['GOOGLE_API_KEY'] = originalGoogle + } + } + }) + + it('allows overriding apiKey explicitly', () => { + new GeminiAdapter('explicit-key') + expect(GoogleGenAIMock).toHaveBeenCalledWith( + expect.objectContaining({ + apiKey: 'explicit-key', + }), + ) + }) + + it('createAdapter("gemini") returns GeminiAdapter instance', async () => { + const adapter = await createAdapter('gemini') + expect(adapter).toBeInstanceOf(GeminiAdapter) + }) +})