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feat: Enhance embedding management and model configuration

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- Updated embedding_manager.py to include backend parameter in model configuration.
- Modified model_manager.py to utilize cache_name for ONNX models.
- Refactored hybrid_search.py to improve embedder initialization based on backend type.
- Added backend column to vector_store.py for better model configuration management.
- Implemented migration for existing database to include backend information.
- Enhanced API settings implementation with comprehensive provider and endpoint management.
- Introduced LiteLLM integration guide detailing configuration and usage.
- Added examples for LiteLLM usage in TypeScript.
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catlog22
2025-12-24 14:03:59 +08:00
parent 9b926d1a1e
commit b00113d212
22 changed files with 5507 additions and 706 deletions
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ccw/src/commands/cli.ts
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@@ -855,7 +855,7 @@ export async function cliCommand(
console.log(chalk.gray(' --model <model> Model override'));
console.log(chalk.gray(' --cd <path> Working directory'));
console.log(chalk.gray(' --includeDirs <dirs> Additional directories'));
console.log(chalk.gray(' --timeout <ms> Timeout (default: 300000)'));
console.log(chalk.gray(' --timeout <ms> Timeout (default: 0=disabled)'));
console.log(chalk.gray(' --resume [id] Resume previous session'));
console.log(chalk.gray(' --cache <items> Cache: comma-separated @patterns and text'));
console.log(chalk.gray(' --inject-mode <m> Inject mode: none, full, progressive'));