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Ryan Malloy
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Migrate to genai backend with API key configuration
Major improvements: - Replaced custom HTTP clients with genai crate (80% code reduction) - Support for 10+ AI providers automatically (OpenAI, Gemini, Anthropic, etc) - Added flexible API key configuration through SQL: - Simple format: 'provider:key' - JSON format with explicit keys - rembed_client_options function - Environment variables (backward compatible) - Added async runtime management with tokio - Maintained full backward compatibility - Prepared for batch processing support via embed_batch() This migration dramatically simplifies the codebase while adding more provider support and features.
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API_KEY_GUIDE.md

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# API Key Configuration Guide
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With the new genai backend, sqlite-rembed offers multiple flexible ways to configure API keys directly through SQL, eliminating the need to set environment variables.
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## 🔑 API Key Configuration Methods
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### Method 1: Simple Provider:Key Format
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The easiest way - just use `provider:your-api-key`:
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```sql
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INSERT INTO temp.rembed_clients(name, options) VALUES
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('my-openai', 'openai:sk-proj-abc123...'),
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('my-gemini', 'gemini:AIza...'),
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('my-groq', 'groq:gsk_abc123...');
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```
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### Method 2: JSON Configuration
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More explicit with JSON format:
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```sql
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INSERT INTO temp.rembed_clients(name, options) VALUES
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('my-client', '{"provider": "openai", "api_key": "sk-proj-abc123..."}');
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-- Or specify the full model
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INSERT INTO temp.rembed_clients(name, options) VALUES
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('my-client', '{"model": "openai::text-embedding-3-large", "key": "sk-proj-abc123..."}');
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```
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### Method 3: Using rembed_client_options
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The most flexible approach:
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```sql
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INSERT INTO temp.rembed_clients(name, options) VALUES
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('my-client',
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rembed_client_options(
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'format', 'openai',
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'model', 'text-embedding-3-small',
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'key', 'sk-proj-abc123...'
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)
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);
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```
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### Method 4: Environment Variables (Still Supported)
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For production deployments, you can still use environment variables:
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```bash
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export OPENAI_API_KEY="sk-proj-abc123..."
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export GEMINI_API_KEY="AIza..."
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```
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Then register without keys in SQL:
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```sql
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INSERT INTO temp.rembed_clients(name, options) VALUES
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('my-openai', 'openai::text-embedding-3-small');
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```
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## 🎯 Complete Examples
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### OpenAI with API Key
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```sql
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-- Simple format
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INSERT INTO temp.rembed_clients(name, options) VALUES
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('openai-embed', 'openai:sk-proj-your-key-here');
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-- JSON format
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INSERT INTO temp.rembed_clients(name, options) VALUES
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('openai-embed', '{"provider": "openai", "api_key": "sk-proj-your-key-here"}');
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-- Use it
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SELECT rembed('openai-embed', 'Hello, world!');
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```
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### Multiple Providers with Keys
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```sql
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INSERT INTO temp.rembed_clients(name, options) VALUES
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-- OpenAI
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('gpt-small', 'openai:sk-proj-abc123'),
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('gpt-large', '{"model": "openai::text-embedding-3-large", "key": "sk-proj-abc123"}'),
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-- Gemini
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('gemini', 'gemini:AIzaSy...'),
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-- Anthropic
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('claude', '{"provider": "anthropic", "api_key": "sk-ant-..."}'),
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-- Local models (no key needed)
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('local-llama', 'ollama::llama2'),
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('local-nomic', 'ollama::nomic-embed-text');
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```
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### Dynamic Key Management
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```sql
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-- Create a table to store API keys
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CREATE TABLE api_keys (
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provider TEXT PRIMARY KEY,
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key TEXT NOT NULL,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- Store keys securely
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INSERT INTO api_keys (provider, key) VALUES
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('openai', 'sk-proj-...'),
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('gemini', 'AIza...');
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-- Register clients using stored keys
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INSERT INTO temp.rembed_clients(name, options)
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SELECT
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provider || '-client',
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provider || ':' || key
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FROM api_keys;
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```
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## 🔒 Security Considerations
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### Development vs Production
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**Development** - API keys in SQL are convenient:
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```sql
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-- Quick testing with inline keys
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INSERT INTO temp.rembed_clients(name, options) VALUES
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('test', 'openai:sk-test-key');
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```
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**Production** - Use environment variables:
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```bash
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# Set in environment
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export OPENAI_API_KEY="sk-proj-production-key"
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```
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```sql
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-- Reference without exposing key
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INSERT INTO temp.rembed_clients(name, options) VALUES
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('prod', 'openai::text-embedding-3-small');
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```
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### Best Practices
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1. **Never commit API keys** to version control
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2. **Use environment variables** in production
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3. **Rotate keys regularly**
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4. **Use restricted keys** when possible (limited scope/permissions)
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5. **Store keys encrypted** if persisting in database
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## 🎨 Provider-Specific Formats
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| Provider | Simple Format | Environment Variable |
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|----------|--------------|---------------------|
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| OpenAI | `openai:sk-proj-...` | `OPENAI_API_KEY` |
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| Gemini | `gemini:AIza...` | `GEMINI_API_KEY` |
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| Anthropic | `anthropic:sk-ant-...` | `ANTHROPIC_API_KEY` |
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| Groq | `groq:gsk_...` | `GROQ_API_KEY` |
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| Cohere | `cohere:co-...` | `CO_API_KEY` |
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| DeepSeek | `deepseek:sk-...` | `DEEPSEEK_API_KEY` |
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| Mistral | `mistral:...` | `MISTRAL_API_KEY` |
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| Ollama | `ollama::model` | None (local) |
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## 🚀 Quick Start
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```sql
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-- Load the extension
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.load ./rembed0
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-- Register OpenAI with inline key (development)
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INSERT INTO temp.rembed_clients(name, options) VALUES
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('embedder', 'openai:sk-proj-your-key-here');
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-- Generate embeddings
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SELECT length(rembed('embedder', 'Hello, world!'));
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-- Register multiple providers
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INSERT INTO temp.rembed_clients(name, options) VALUES
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('fast', 'openai:sk-proj-key1'),
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('accurate', '{"model": "openai::text-embedding-3-large", "key": "sk-proj-key1"}'),
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('free', 'ollama::nomic-embed-text');
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-- Use different models
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SELECT rembed('fast', 'Quick embedding');
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SELECT rembed('accurate', 'Precise embedding');
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SELECT rembed('free', 'Local embedding');
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```
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## 🎭 Migration from Environment Variables
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If you're currently using environment variables and want to switch to SQL-based keys:
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```sql
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-- Before (requires OPENAI_API_KEY env var)
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INSERT INTO temp.rembed_clients(name, options) VALUES
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('my-client', 'openai');
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-- After (self-contained)
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INSERT INTO temp.rembed_clients(name, options) VALUES
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('my-client', 'openai:sk-proj-your-key-here');
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```
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Both methods continue to work, giving you flexibility in deployment!

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