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This provider has minimal dependencies and is web-compatible out of the box.","maintainers":[{"name":"nordwestt","email":"thomas@nordentoft.dk"}],"readme":"# Ollama Provider V2 for Vercel AI SDK\n\nUse Ollama with the Vercel AI SDK, implementing the official Ollama API. This provider has minimal dependencies and is web-compatible out of the box.\n\n[![npm version](https://badge.fury.io/js/ollama-ai-provider-v2.svg)](https://badge.fury.io/js/ollama-ai-provider-v2)\n[![TypeScript](https://img.shields.io/badge/TypeScript-5.8+-blue.svg)](https://www.typescriptlang.org/)\n[![Node.js](https://img.shields.io/badge/Node.js-22+-green.svg)](https://nodejs.org/)\n[![License: Apache-2.0](https://img.shields.io/badge/License-Apache--2.0-yellow.svg)](https://opensource.org/licenses/Apache-2.0)\n\n> **Support this project** — Maintained in spare time and free to use under Apache-2.0. If you value this plugin and appreciate it, a [donation](https://buymeacoffee.com/nordwestt) is appreciated and helps keep it updated with new AI SDK releases.\n\n## Why Choose Ollama Provider V2?\n\n- ✅ **Minimal Dependencies** - Lean codebase with just 2 core dependencies\n- ✅ **Universal Compatibility** - Works seamlessly in Node.js, browsers, and edge environments\n- ✅ **Direct Ollama Integration** - Uses official Ollama API endpoints for maximum compatibility\n- ✅ **Advanced Features** - Tool calling, streaming, thinking mode, embeddings, and completion models\n- ✅ **Type Safety** - Full TypeScript support with comprehensive type definitions\n- ✅ **Zero Configuration** - Works out-of-the-box with sensible defaults\n- ✅ **Actively Maintained** - Regular updates and AI SDK v7 compatibility\n\n## Quick Start\n\n```bash\nnpm install ollama-ai-provider-v2 ai\n```\n\n```typescript\nimport { ollama } from 'ollama-ai-provider-v2';\nimport { generateText } from 'ai';\n\n// Works everywhere - Node.js, browsers, edge environments\nconst { text } = await generateText({\n  model: ollama('llama3.2'),\n  prompt: 'Write a haiku about coding',\n});\n\nconsole.log(text);\n```\n\n## Core Features\n\n### Streaming Text Generation\n\n```typescript\nimport { streamText } from 'ai';\n\nconst { textStream } = await streamText({\n  model: ollama('llama3.2'),\n  prompt: 'Tell me a story about artificial intelligence',\n});\n\nfor await (const chunk of textStream) {\n  process.stdout.write(chunk);\n}\n```\n\n### Tool Calling Support\n\nAI SDK 7 defaults to a single generation step. When the model calls a tool, that step ends with empty `text` and populated `toolCalls`. Set `stopWhen` to allow the model to execute tools and then answer.\n\n```typescript\nimport { generateText, tool, stepCountIs } from 'ai';\nimport { z } from 'zod';\n\nconst { text, toolCalls, toolResults } = await generateText({\n  model: ollama('llama3.2'),\n  stopWhen: stepCountIs(5), // allow tool call + follow-up answer\n  prompt: 'What is the weather like in San Francisco?',\n  tools: {\n    getWeather: tool({\n      description: 'Get current weather for a location',\n      inputSchema: z.object({\n        location: z.string().describe('City name'),\n        unit: z.enum(['celsius', 'fahrenheit']).optional(),\n      }),\n      execute: async ({ location, unit = 'celsius' }) => {\n        return { temp: 18, unit, condition: 'sunny' };\n      },\n    }),\n  },\n});\n```\n\n### Reasoning Mode (Thinking)\n\nUnique feature for models that support chain-of-thought reasoning:\n\n```typescript\nconst { text } = await generateText({\n  model: ollama('deepseek-r1:7b'),\n  reasoning: 'high', // AI SDK 7 top-level reasoning option\n  prompt: 'Solve this complex math problem step by step: 2x + 5 = 17',\n});\n```\n\nYou can also use the Ollama-specific provider option:\n\n```typescript\nconst { text } = await generateText({\n  model: ollama('deepseek-r1:7b'),\n  providerOptions: { ollama: { think: true } },\n  prompt: 'Solve this complex math problem step by step: 2x + 5 = 17',\n});\n```\n\n### Advanced Ollama Options\n\nAccess Ollama's native parameters while maintaining AI SDK compatibility:\n\n```typescript\nconst { text } = await generateText({\n  model: ollama('llama3.2'),\n  providerOptions: {\n    ollama: {\n      options: {\n        seed: 123,           // Deterministic outputs\n        num_ctx: 8192,       // Context window size\n        repeat_penalty: 1.1, // Control repetition\n        top_k: 40,          // Advanced sampling\n        min_p: 0.1,         // Minimum probability\n      },\n    },\n  },\n  prompt: 'Write a detailed analysis of Alice in Wonderland',\n  temperature: 0.8, // Standard AI SDK parameters work too\n});\n```\n\n### Embeddings\n\n```typescript\nimport { embed } from 'ai';\n\n// Single embedding\nconst { embedding } = await embed({\n  model: ollama.embedding('nomic-embed-text'),\n  value: 'Hello world',\n});\n\nconsole.log('Embedding dimensions:', embedding.length);\n\n// Batch embeddings\nconst texts = ['Hello world', 'How are you?', 'AI is amazing'];\nconst results = await Promise.all(\n  texts.map((text) =>\n    embed({\n      model: ollama.embedding('all-minilm'),\n      value: text,\n    })\n  )\n);\n```\n\n### Completion Models\n\nFor use cases requiring completion-style generation:\n\n```typescript\nconst { text } = await generateText({\n  model: ollama.completion('codellama:code'),\n  prompt: 'def fibonacci(n):\\n    if n <= 1:\\n        return n\\n    else:\\n        return fibonacci(n-1) + fibonacci(n-2)\\n\\n# Optimize this function:\\n',\n});\n```\n\n## Custom Ollama Instance\n\nConnect to remote Ollama servers or custom configurations:\n\n```typescript\nimport { createOllama } from 'ollama-ai-provider-v2';\n\nconst customOllama = createOllama({\n  baseURL: 'https://my-ollama-server.com/api',\n  headers: {\n    'Authorization': 'Bearer your-token',\n  },\n});\n\nconst { text } = await generateText({\n  model: customOllama('llama3.2'),\n  prompt: 'Hello from remote server!',\n});\n```\n\n## Supported Models\n\nWorks with any model in your Ollama installation, including:\n\n- **Chat Models**: `llama3.2`, `mistral`, `phi4-mini`, `qwen2.5`, `codellama`, `gemma3`\n- **Vision Models**: `llava`, `llama3.2-vision`, `minicpm-v`\n- **Reasoning Models**: `deepseek-r1:7b`, `deepseek-r1:1.5b`, `deepseek-r1:8b`\n- **Code Models**: `codellama:code`, `codellama:python`, `deepseek-coder-v2`\n- **Embedding Models**: `nomic-embed-text`, `all-minilm`, `mxbai-embed-large`\n\n## Prerequisites\n\n1. [Ollama](https://ollama.com) installed and running\n2. AI SDK v7 (`ai@^7`)\n3. Node.js 22+ (required by AI SDK 7)\n\n```bash\n# Start Ollama\nollama serve\n\n# Pull a model\nollama pull llama3.2\n```\n\n## Upgrading from 3.x\n\nVersion 4.0.0 adds AI SDK 7 support via the Provider V4 specification.\n\n- Requires `ai@^7` and Node.js 22+\n- Drops AI SDK 5/6 support\n- No changes to the public `createOllama()` / `ollama()` API surface\n\n## Contributing\n\nContributions are welcome! Here's how to get started:\n\n1. **Fork the repository**\n2. **Install dependencies**: `pnpm install`\n3. **Build the project**: `pnpm build`\n4. **Run tests**: `pnpm test`\n5. **Make your changes**\n6. **Test locally**: Copy `dist/*` to your project's `node_modules/ollama-ai-provider-v2/dist`\n7. **Submit a pull request**\n\n## License\n\nApache-2.0 © [nordwestt](https://github.com/nordwestt/ollama-ai-provider-v2)\n\nSee [LICENSE.md](./LICENSE.md) for details.","readmeFilename":"README.md"}