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break;\n    case 'reasoning': console.log(item.text); break;\n    case 'file': console.log(item.media_type, item.data); break;\n    case 'tool-call': console.log(item.toolName, item.args); break;\n  }\n});\n\n// Enhanced usage tracking\nconsole.log({\n  input: usage.inputTokens,\n  output: usage.outputTokens,\n  reasoning: usage.reasoningTokens,\n  cached: usage.cachedInputTokens,\n});\n```\n\n## Streaming\n\n```ts\nconst { fullStream } = streamText({\n  model: adaptive(),\n  prompt: 'Count to 10',\n});\n\nfor await (const part of fullStream) {\n  if (part.type === 'text') process.stdout.write(part.textDelta);\n  if (part.type === 'reasoning') console.log('💭', part.text);\n}\n```\n\n## Tools\n\n```ts\nconst { text } = await generateText({\n  model: adaptive(),\n  prompt: 'What is the weather in SF?',\n  tools: {\n    getWeather: {\n      description: 'Get weather for location',\n      parameters: {\n        type: 'object',\n        properties: { location: { type: 'string' } },\n        required: ['location'],\n      },\n      execute: async ({ location }) => `Weather in ${location}: Sunny, 72°F`,\n    },\n  },\n});\n```\n\n## Configuration\n\n```ts\nimport { createAdaptive } from '@adaptive-llm/adaptive-ai-provider';\n\nconst adaptive = createAdaptive({\n  baseURL: 'https://your-api.com/v1',\n  apiKey: 'your-key', // or ADAPTIVE_API_KEY env var\n  headers: { 'Custom-Header': 'value' },\n});\n```\n\n## Multimodal\n\n```ts\nconst { text } = await generateText({\n  model: adaptive(),\n  messages: [{\n    role: 'user',\n    content: [\n      { type: 'text', text: 'Analyze this image' },\n      { type: 'file', data: 'data:image/jpeg;base64,...', media_type: 'image/jpeg' },\n    ],\n  }],\n});\n```\n\n## Supported Features\n\n- ✅ Text, reasoning, file generation, tool calls\n- ✅ Streaming with all event types\n- ✅ Multimodal inputs (images, audio, PDFs)\n- ✅ Enhanced usage tracking\n- ✅ AI SDK standard error handling\n- ✅ Full TypeScript support\n\n## Error Handling\n\n```ts\nimport { APICallError, TooManyRequestsError } from 'ai';\n\ntry {\n  const result = await generateText({ model: adaptive(), prompt: 'Hello' });\n} catch (error) {\n  if (error instanceof TooManyRequestsError) {\n    console.log('Rate limited, retry after:', error.retryAfter);\n  }\n}\n```\n\n## Environment\n\n```bash\nexport ADAPTIVE_API_KEY=\"your-api-key\"\n```","readmeFilename":"README.md"}