co-mono/packages/ai/package.json
Mario Zechner e5aedfed29 feat(ai): Implement unified AI API with Anthropic provider
- Define clean API with complete() method and callbacks for streaming
- Add comprehensive type system for messages, tools, and usage
- Implement AnthropicAI provider with full feature support:
  - Thinking/reasoning with signatures
  - Tool calling with parallel execution
  - Streaming via callbacks (onText, onThinking)
  - Proper error handling and stop reasons
  - Cache tracking for input/output tokens
- Add working test/example demonstrating tool execution flow
- Support for system prompts, temperature, max tokens
- Proper message role types: user, assistant, toolResult
2025-08-17 23:30:20 +02:00

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{
"name": "@mariozechner/ai",
"version": "0.5.8",
"description": "Unified API for OpenAI, Anthropic, and Google Gemini LLM providers",
"type": "module",
"main": "./dist/index.js",
"types": "./dist/index.d.ts",
"files": ["dist", "README.md"],
"scripts": {
"clean": "rm -rf dist",
"build": "tsc -p tsconfig.build.json",
"check": "biome check --write .",
"prepublishOnly": "npm run clean && npm run build"
},
"dependencies": {
"openai": "5.12.2",
"@anthropic-ai/sdk": "0.60.0",
"@google/genai": "1.14.0",
"chalk": "^5.5.0"
},
"devDependencies": {},
"keywords": ["ai", "llm", "openai", "anthropic", "gemini", "unified", "api"],
"author": "Mario Zechner",
"license": "MIT",
"repository": {
"type": "git",
"url": "git+https://github.com/badlogic/pi-mono.git",
"directory": "packages/ai"
},
"engines": {
"node": ">=20.0.0"
}
}