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apiKey: process.env.GOOGLE_AI_API_KEY!,\n        model: \"gemini-2.0-flash\",\n      }),\n    },\n  },\n});\n```\n\n## Configuration\n\n| Option  | Type      | Required | Description                                                        |\n|---------|-----------|----------|--------------------------------------------------------------------|\n| apiKey  | `string`  | Yes      | Google AI API key                                                  |\n| model   | `string`  | Yes      | Gemini model name (e.g. `\"gemini-2.0-flash\"`, `\"gemini-1.5-pro\"`) |\n| debug   | `boolean` | No       | Enable debug logging (default: `false`)                            |\n\n## Supported Models\n\n- `gemini-2.0-flash` — Fast, cost-effective (recommended default)\n- `gemini-1.5-pro` — High capability, longer context\n- `gemini-1.5-flash` — Fast, balanced capability\n- `gemini-2.5-pro-preview-03-25` — Latest preview model\n\n## Features\n\n- ✅ Tool calling support\n- ✅ Streaming responses (SSE / NDJSON)\n- ✅ Alternating turn enforcement (consecutive same-role messages are merged)\n- ✅ System instruction handling\n- ✅ JSON Schema sanitization for Gemini compatibility\n- ✅ Token usage tracking\n- ✅ Debug logging\n\n## Using with FlinkAgent\n\n```typescript\nimport { FlinkAgent } from \"@flink-app/flink\";\nimport { GeminiAdapter } from \"@flink-app/gemini-adapter\";\n\nexport default class CarAgent extends FlinkAgent<AppContext> {\n  instructions = \"You are a helpful car assistant.\";\n  llm = new GeminiAdapter({\n    apiKey: process.env.GOOGLE_AI_API_KEY!,\n    model: \"gemini-2.0-flash\",\n  });\n}\n```\n\n## License\n\nMIT\n","readmeFilename":"README.md"}