mirror of
https://github.com/getcompanion-ai/co-mono.git
synced 2026-04-16 12:03:23 +00:00
c7618db3f7
- Add Model interface to types.ts with normalized structure - Create type-safe generic createLLM function with provider-specific model constraints - Generate models from OpenRouter API and models.dev data - Strip provider prefixes for direct providers (google, openai, anthropic, xai) - Keep full model IDs for OpenRouter-proxied models - Clean separation: types.ts (Model interface), models.ts (factory logic), models.generated.ts (data) - Remove old model scripts and unused dependencies - Rename GeminiLLM to GoogleLLM for consistency - Add tests for new providers (xAI, Groq, Cerebras, OpenRouter) - Support 181 tool-capable models across 7 providers with full type safety
70 lines
No EOL
1.7 KiB
Markdown
70 lines
No EOL
1.7 KiB
Markdown
# @mariozechner/ai
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Unified API for OpenAI, Anthropic, and Google Gemini LLM providers with streaming, tool calling, and thinking support.
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## Installation
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```bash
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npm install @mariozechner/ai
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```
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## Quick Start
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```typescript
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import { AnthropicLLM } from '@mariozechner/ai/providers/anthropic';
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import { OpenAICompletionsLLM } from '@mariozechner/ai/providers/openai-completions';
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import { GoogleLLM } from '@mariozechner/ai/providers/gemini';
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// Pick your provider - same API for all
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const llm = new AnthropicLLM('claude-sonnet-4-0');
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// const llm = new OpenAICompletionsLLM('gpt-5-mini');
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// const llm = new GoogleLLM('gemini-2.5-flash');
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// Basic completion
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const response = await llm.complete({
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messages: [{ role: 'user', content: 'Hello!' }]
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});
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console.log(response.content);
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// Streaming with thinking
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const streamResponse = await llm.complete({
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messages: [{ role: 'user', content: 'Explain quantum computing' }]
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}, {
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onText: (chunk) => process.stdout.write(chunk),
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onThinking: (chunk) => process.stderr.write(chunk),
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// Provider specific config
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thinking: { enabled: true }
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});
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// Tool calling
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const tools = [{
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name: 'calculator',
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description: 'Perform calculations',
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parameters: {
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type: 'object',
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properties: {
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expression: { type: 'string' }
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},
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required: ['expression']
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}
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}];
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const toolResponse = await llm.complete({
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messages: [{ role: 'user', content: 'What is 15 * 27?' }],
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tools
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});
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if (toolResponse.toolCalls) {
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for (const call of toolResponse.toolCalls) {
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console.log(`Tool: ${call.name}, Args:`, call.arguments);
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}
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}
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```
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## Development
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This package is part of the pi monorepo. See the main README for development instructions.
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## License
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MIT |