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Digital"},"license":"MIT","homepage":"https://github.com/FrostDigital/flink-framework#readme","keywords":["flink","anthropic","claude","ai","llm","adapter"],"repository":{"url":"git+https://github.com/FrostDigital/flink-framework.git","type":"git","directory":"packages/anthropic-adapter"},"description":"Anthropic Claude adapter for Flink AI framework","maintainers":[{"name":"joelso","email":"joel@frostdigital.se"},{"name":"jenkins-frost","email":"devops@frostdigital.se"},{"name":"johanfrost","email":"johan@frostdigital.se"}],"readme":"# @flink-app/anthropic-adapter\n\nAnthropic Claude adapter for the Flink AI framework. Provides seamless integration with Anthropic's Claude models.\n\n## Installation\n\n```bash\nnpm install @flink-app/anthropic-adapter\n# or\npnpm add @flink-app/anthropic-adapter\n```\n\nThe `@anthropic-ai/sdk` package is included as a dependency, so you don't need to install it separately.\n\n## Usage\n\n### Basic Setup\n\n```typescript\nimport { AnthropicAdapter } from \"@flink-app/anthropic-adapter\";\nimport { FlinkApp } from \"@flink-app/flink\";\n\nconst app = new FlinkApp({\n  ai: {\n    llms: {\n      default: new AnthropicAdapter({\n        apiKey: process.env.ANTHROPIC_API_KEY!,\n        model: \"claude-sonnet-4-5-20250929\"\n      }),\n    },\n  },\n});\n\nawait app.start();\n```\n\n**Legacy API (still supported):**\n```typescript\n// Backward-compatible constructor\nnew AnthropicAdapter(process.env.ANTHROPIC_API_KEY!, \"claude-sonnet-4-5-20250929\")\n```\n\n### Agent Instructions\n\nDefine your agent's behavior using the `instructions` property:\n\n```typescript\n// src/agents/support_agent.ts\nexport const Agent: FlinkAgentProps = {\n  name: \"support_agent\",\n  instructions: \"You are a helpful customer support agent.\",\n  tools: [\"get_order_status\"],\n  model: { adapterId: \"default\" },\n};\n```\n\n**How it works:**\n- Instructions are prepended as a system message to every conversation\n- Follows Vercel AI SDK pattern for consistency\n- Provides stable agent behavior across all interactions\n\n#### Dynamic Context with System Messages\n\nFor per-request context, add system messages to the conversation:\n\n```typescript\nconst result = await ctx.agents.myAgent.execute({\n  message: [\n    { role: \"system\", content: \"Current user tier: Premium\" },\n    { role: \"user\", content: \"What can I do?\" }\n  ]\n});\n```\n\n**Order of messages sent to Anthropic:**\n1. Agent `instructions` (as system message)\n2. User-provided system messages (if any)\n3. Conversation messages\n\nThis gives you both static agent behavior and dynamic per-request context.\n\n## Multiple Adapters\n\nYou can register multiple Anthropic adapters with different configurations:\n\n```typescript\nimport { AnthropicAdapter } from \"@flink-app/anthropic-adapter\";\nimport { FlinkApp } from \"@flink-app/flink\";\n\nconst app = new FlinkApp({\n  ai: {\n    llms: {\n      // Default Sonnet 4.5 model - best balance of intelligence, speed, and cost\n      default: new AnthropicAdapter({\n        apiKey: process.env.ANTHROPIC_API_KEY!,\n        model: \"claude-sonnet-4-5-20250929\"\n      }),\n\n      // Fast Haiku 4.5 model for simple tasks - near-frontier performance at lower cost\n      fast: new AnthropicAdapter({\n        apiKey: process.env.ANTHROPIC_API_KEY!,\n        model: \"claude-haiku-4-5-20251001\"\n      }),\n\n      // Opus 4.5 model for complex tasks - maximum intelligence\n      smart: new AnthropicAdapter({\n        apiKey: process.env.ANTHROPIC_API_KEY!,\n        model: \"claude-opus-4-5-20251101\"\n      }),\n    },\n  },\n});\n```\n\n## Using in Agents\n\nReference the adapter by its registered ID in your agent configuration:\n\n```typescript\n// src/agents/support_agent.ts\nimport { FlinkAgentProps } from \"@flink-app/flink\";\n\nexport const Agent: FlinkAgentProps = {\n  name: \"support_agent\",\n  description: \"Customer support assistant\",\n  instructions: \"You are a helpful customer support agent.\",\n  tools: [\"get_order_status\"],\n  model: {\n    adapterId: \"default\", // Uses the \"default\" adapter\n    maxTokens: 1000,\n    temperature: 0.7,\n  },\n};\n```\n\n## Supported Models\n\nThis adapter works with all Claude models. The latest Claude 4.5 models offer significant improvements over previous generations:\n\n### Claude 4.5 Models (Recommended)\n\n- **Claude Sonnet 4.5**: `claude-sonnet-4-5-20250929` (recommended for most use cases)\n  - Best balance of intelligence, speed, and cost\n  - Exceptional performance in coding and agentic tasks\n  - 200K context window (1M in beta with header)\n  - Pricing: $3/MTok input, $15/MTok output\n\n- **Claude Haiku 4.5**: `claude-haiku-4-5-20251001` (fastest)\n  - Near-frontier performance at a fraction of the cost\n  - Optimized for speed and cost-efficiency\n  - 200K context window\n  - Pricing: $1/MTok input, $5/MTok output\n\n- **Claude Opus 4.5**: `claude-opus-4-5-20251101` (most capable)\n  - Maximum intelligence for complex tasks\n  - Industry leader in coding, agents, and enterprise workflows\n  - 200K context window\n  - Pricing: $5/MTok input, $25/MTok output\n\n### Legacy Models\n\nFor backwards compatibility, legacy Claude 3 and 4 models are still supported:\n\n- **Claude Opus 4.1**: `claude-opus-4-1-20250805`\n- **Claude Sonnet 4**: `claude-sonnet-4-20250514`\n- **Claude 3.7 Sonnet**: `claude-3-7-sonnet-20250219`\n- **Claude Opus 4**: `claude-opus-4-20250514`\n- **Claude 3 Haiku**: `claude-3-haiku-20240307`\n\nWe recommend migrating to Claude 4.5 models for improved performance and capabilities.\n\n### Model Aliases vs Specific Versions\n\nAnthropic provides both specific version IDs and aliases:\n\n- **Specific versions** (e.g., `claude-sonnet-4-5-20250929`): Fixed model snapshots that never change\n  - Recommended for production to ensure consistent behavior\n  - Snapshot date indicates the exact model version\n\n- **Aliases** (e.g., `claude-sonnet-4-5`): Automatically point to the latest snapshot\n  - Useful for development and experimentation\n  - Updated within a week of new releases\n  - May change behavior when new snapshots are released\n\nExample:\n```typescript\n// Production: Use specific version for stability\nnew AnthropicAdapter(apiKey, \"claude-sonnet-4-5-20250929\")\n\n// Development: Use alias to always get latest improvements\nnew AnthropicAdapter(apiKey, \"claude-sonnet-4-5\")\n```\n\n## Cache Metrics & Cost Optimization\n\nThe Anthropic adapter automatically captures detailed cache metrics to help you optimize costs and understand performance:\n\n```typescript\nconst result = await ctx.agents.myAgent.execute({\n  message: \"Analyze this large document...\"\n});\n\nconsole.log(result.usage);\n// {\n//   inputTokens: 3000,\n//   outputTokens: 500,\n//   cachedInputTokens: 2000,         // Tokens read from cache (10% cost)\n//   cacheCreationInputTokens: 500    // Tokens written to cache (125% cost)\n// }\n\n// Calculate actual billed tokens with Anthropic's pricing\nconst regularTokens = result.usage.inputTokens -\n  (result.usage.cachedInputTokens || 0) -\n  (result.usage.cacheCreationInputTokens || 0);\n\nconst cacheReadCost = (result.usage.cachedInputTokens || 0) * 0.1;\nconst cacheWriteCost = (result.usage.cacheCreationInputTokens || 0) * 1.25;\nconst regularCost = regularTokens * 1.0;\n\nconsole.log(`Cost breakdown:`);\nconsole.log(`- Regular tokens: ${regularTokens} × 100% = ${regularCost}`);\nconsole.log(`- Cache reads: ${result.usage.cachedInputTokens} × 10% = ${cacheReadCost}`);\nconsole.log(`- Cache writes: ${result.usage.cacheCreationInputTokens} × 125% = ${cacheWriteCost}`);\nconsole.log(`Total cost factor: ${regularCost + cacheReadCost + cacheWriteCost}`);\n// \"Total cost factor: 1325\" (vs 3000 without caching) - 56% savings after initial cache write!\n```\n\n**Cache Metrics:**\n- `inputTokens`: Total input tokens (including cached and cache writes)\n- `outputTokens`: Total output tokens\n- `cachedInputTokens`: Input tokens read from cache (10% cost)\n- `cacheCreationInputTokens`: Input tokens written to cache (125% cost, one-time)\n\n**Anthropic Prompt Caching:**\n- **Cache reads**: 10% of regular token cost (90% savings!)\n- **Cache writes**: 125% of regular token cost (one-time investment)\n- **Minimum threshold**: 2048 tokens (caching only activates at ≥2048 tokens)\n- **Cache lifetime**: 5 minutes of inactivity\n\n**Caching Strategy:**\nFor repeated context (system prompts, knowledge bases, few-shot examples):\n1. **First request**: Pay 125% to write to cache (`cacheCreationInputTokens`)\n2. **Subsequent requests** (within 5 min): Pay 10% to read from cache (`cachedInputTokens`)\n3. **Break-even**: After 2 cache reads, you start saving money\n4. **Long-term**: Massive savings for frequently-used context\n\n**When Caching Helps Most:**\n- Long system prompts used across requests\n- Large knowledge bases in context\n- Few-shot examples in prompts\n- Multi-turn conversations with persistent context\n- Documents analyzed multiple times\n\n**Example: System Prompt Caching**\n```typescript\n// First request: Create cache\n// inputTokens: 3000, cacheCreationInputTokens: 2500\n// Cost: 500×1.0 + 2500×1.25 = 3625 tokens worth\n\n// Second request: Read from cache\n// inputTokens: 3000, cachedInputTokens: 2500\n// Cost: 500×1.0 + 2500×0.1 = 750 tokens worth (79% savings!)\n\n// Third+ requests: Continue reading from cache\n// Same 79% savings as long as cache is active\n```\n\n## Features\n\n- ✅ Full tool calling support with automatic schema sanitization\n- ✅ Streaming with event-based updates\n- ✅ Proper message conversion and system instruction handling\n- ✅ Comprehensive error handling with helpful messages\n- ✅ Token usage tracking\n- ✅ Debug logging for tool calls\n- ✅ Support for all Claude 4.5 models\n- ✅ 200K token context window (1M in beta)\n- ✅ Extended thinking capabilities\n\n### Claude 4.5 Capabilities\n\nAll Claude 4.5 models support:\n- **Extended Thinking**: Enhanced reasoning for complex problems\n- **Vision**: Process and analyze images alongside text\n- **Multilingual**: Strong performance across multiple languages\n- **Long Context**: 200K tokens standard, 1M tokens in beta\n- **Tool Use**: Sophisticated function calling and tool integration\n\n## API\n\n### `AnthropicAdapter`\n\n```typescript\ninterface AnthropicAdapterOptions {\n  apiKey: string;\n  model: string;\n}\n\nclass AnthropicAdapter implements LLMAdapter {\n  constructor(options: AnthropicAdapterOptions);\n  constructor(apiKey: string, model: string); // Legacy\n}\n```\n\n#### Parameters\n\n- `apiKey`: Your Anthropic API key\n- `model`: The Claude model to use (e.g., \"claude-sonnet-4-5-20250929\")\n\n### Error Handling\n\nThe adapter provides comprehensive error handling with helpful messages:\n\n- **400 Bad Request**: Invalid model name, malformed messages, or invalid tool schemas\n- **401 Unauthorized**: Invalid API key - check your ANTHROPIC_API_KEY\n- **403 Forbidden**: Insufficient permissions or account limitations\n- **429 Too Many Requests**: Rate limit exceeded - consider retry logic\n- **500/529 Server Error**: Temporary issue with Anthropic's servers - retry recommended\n\nAll errors include the model name and specific guidance for resolution.\n\n#### Model Selection Tips\n\n- Use **Sonnet 4.5** (`claude-sonnet-4-5-20250929`) as your default - it provides the best balance for most applications\n- Use **Haiku 4.5** (`claude-haiku-4-5-20251001`) for high-volume, cost-sensitive workloads where speed matters\n- Use **Opus 4.5** (`claude-opus-4-5-20251101`) for complex reasoning, advanced coding, or when maximum intelligence is required\n\nYou can also use model aliases like `claude-sonnet-4-5` which automatically point to the latest snapshot, though specific version IDs are recommended for production to ensure consistent behavior.\n\n## Migrating from Claude 3 to Claude 4.5\n\nIf you're currently using Claude 3 models, simply update the model ID in your adapter configuration:\n\n```typescript\n// Before (Claude 3.5 Sonnet)\nnew AnthropicAdapter(apiKey, \"claude-3-5-sonnet-20241022\")\n\n// After (Claude Sonnet 4.5)\nnew AnthropicAdapter(apiKey, \"claude-sonnet-4-5-20250929\")\n```\n\nBenefits of upgrading to Claude 4.5:\n- **Better performance**: Improved reasoning and coding capabilities\n- **Extended thinking**: Built-in support for complex problem-solving\n- **Lower latency**: Faster response times (especially Haiku 4.5)\n- **Better cost efficiency**: Haiku 4.5 offers near-frontier performance at lower cost\n\nThe adapter handles all API differences automatically - no code changes required beyond the model ID.\n\n## Requirements\n\n- Node.js >= 18\n- @flink-app/flink >= 1.0.0\n- @anthropic-ai/sdk >= 0.30.0\n\n## License\n\nMIT\n","readmeFilename":"README.md"}