> content"
gemini: "system instruction"
deepseek: "system prefix"
forking:
universal: ".p/fork{paths}"
claude: "{emulated}"
openai: "{emulated}"
qwen: "{emulated}"
gemini: "{emulated}"
deepseek: "{emulated}"
collapse:
universal: ".p/collapse{trigger}"
claude: "{emulated}"
openai: "{emulated}"
qwen: "{emulated}"
gemini: "{emulated}"
deepseek: "{emulated}"
attention:
universal: ".p/attention{focus}"
claude: "{emulated}"
openai: "{emulated}"
qwen: "{emulated}"
gemini: "{emulated}"
deepseek: "{emulated}"
```
## Implementation Strategy
### Universal Client API
```typescript
// Example universal client usage
import { UniversalSymbolics } from 'universal-symbolics';
// Create client with default vendor (Claude)
const symbolics = new UniversalSymbolics();
// Use the universal interface
async function generateWithThinking() {
const result = await symbolics.think('Analyze the pros and cons of quantum computing');
console.log(result.thinking); // Access thinking process
console.log(result.output); // Access final output
}
// Switch to a different vendor
symbolics.setVendor('openai');
const toolResult = await symbolics.tool('search', { query: 'latest developments in fusion energy' });
```
### REST API Specification
The REST API provides a unified interface for accessing symbolic operations across vendors:
```http
POST /v1/generate
Content-Type: application/json
Authorization: Bearer {api_key}
{
"prompt": "Explain the concept of quantum entanglement",
"vendor": "claude", // or "openai", "qwen", "gemini", etc.
"symbols": {
"think": true,
"reflect": {
"target": "scientific accuracy"
},
"tool": {
"name": "search",
"params": {
"query": "quantum entanglement explained"
}
}
},
"options": {
"include_symbol_traces": true
}
}
```
## Advanced Features
### Symbolic Residue Detection
The runtime includes built-in support for detecting and handling symbolic residue - fragments of symbolic operations that weren't properly processed:
```javascript
// Example symbolic residue detection
const response = await symbolics.generate("Tell me about quantum physics");
const residue = symbolics.detectResidue(response);
if (residue.length > 0) {
console.log("Detected symbolic residue:", residue);
const cleanedResponse = symbolics.cleanResidue(response);
console.log("Cleaned response:", cleanedResponse);
}
```
### Cross-Model Translation
The translation subsystem enables bidirectional conversion of symbolic operations between different vendor implementations:
```javascript
// Example symbolic translation
const claudePrompt = `You are a helpful assistant.\nI need to explain quantum physics clearly.`;
const openaiEquivalent = symbolics.translate(claudePrompt, 'claude', 'openai');
console.log(openaiEquivalent);
// Output: { "system": "You are a helpful assistant.", "tool_choice": "auto", ... }
```
### Symbolic Operation Playground
An interactive web application for testing symbolic operations across different models:
```javascript
// Example playground usage
const playground = new SymbolicPlayground({
vendors: ['claude', 'openai', 'qwen'],
apiKeys: {
claude: 'sk-ant-...',
openai: 'sk-...',
qwen: 'sk-qwen-...'
}
});
// Test the same symbolic operation across vendors
const results = await playground.compareVendors({
operation: 'think',
params: { content: 'How to optimize a neural network' },
prompt: 'Explain techniques for neural network optimization'
});
console.log(results);
// Output: Comparison of thinking results across vendors
```
## Observability & Telemetry
The runtime includes comprehensive telemetry for tracking symbolic operation usage:
```javascript
// Example telemetry usage
const telemetry = symbolics.getTelemetry();
console.log(`Total operations: ${telemetry.operationCount}`);
console.log(`Operations by vendor:`, telemetry.vendorDistribution);
console.log(`Operations by type:`, telemetry.operationTypes);
console.log(`Success rate:`, telemetry.successRate);
```
## Developer Tools
### VSCode Extension
A VSCode extension provides syntax highlighting, autocompletion, and live preview for symbolic operations:
```json
{
"name": "universal-symbolics-vscode",
"displayName": "Universal Symbolics",
"description": "Unified language model symbolic operations",
"version": "1.0.0",
"engines": {
"vscode": "^1.60.0"
},
"categories": [
"Programming Languages",
"Snippets",
"Other"
],
"activationEvents": [
"onLanguage:markdown",
"onLanguage:json",
"onLanguage:typescript",
"onLanguage:python"
],
"main": "./dist/extension.js",
"contributes": {
"commands": [
{
"command": "universal-symbolics.translateSymbols",
"title": "Translate Symbols"
},
{
"command": "universal-symbolics.previewResponse",
"title": "Preview Symbolic Response"
}
],
"languages": [
{
"id": "symbolic",
"extensions": [".sym", ".symbolic"],
"aliases": ["Symbolic", "symbolic"]
}
],
"grammars": [
{
"language": "symbolic",
"scopeName": "source.symbolic",
"path": "./syntaxes/symbolic.tmLanguage.json"
}
]
}
}
```
### CLI Tool
A command-line interface for working with symbolic operations:
```bash
# Installation
npm install -g universal-symbolics-cli
# Usage examples
usym translate --source "claude" --target "openai" --file "prompt.txt"
usym generate --vendor "claude" --symbol "think" --prompt "Explain quantum physics"
usym validate --file "prompt.sym"
```
## Adoption Strategy
The runtime adoption strategy focuses on five key areas:
1. **Developer Education**: Documentation, examples, and tutorials
2. **Tool Integration**: VSCode extension, CLI, and REST API
3. **SDK Distribution**: NPM, PyPI, and other package repositories
4. **Community Building**: Discord, GitHub, and social media
5. **Vendor Collaboration**: Partnership with frontier AI model providers
## Getting Started
```bash
# Install the package
npm install universal-symbolics
# Import and use
import { UniversalSymbolics } from 'universal-symbolics';
const symbolics = new UniversalSymbolics({
vendor: 'claude',
apiKey: 'your-api-key'
});
// Use unified symbolic operations
const result = await symbolics.think('How to optimize a neural network');
console.log(result);
```
## Contributing
We welcome contributions from the community! Please see our [CONTRIBUTING.md](CONTRIBUTING.md) guide for details on how to get involved.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
---
Universal Symbolics | Unifying the symbolic layer across AI models