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feat: Add comprehensive OAPI forwarding support for Ollama models via OpenAI provider
This commit implements OAPI (OpenAI API) forwarding functionality that allows the OpenAI embedding provider to work seamlessly with Ollama models through OpenAI-compatible API endpoints. ## Core Implementation ### OpenAI Embedding Provider (`packages/core/src/embedding/openai-embedding.ts`): - Add `useOllamaModel` configuration option for explicit OAPI forwarding - Add `OPENAI_CUSTOM_BASE_USING_OLLAMA_MODEL` environment variable support - Implement race condition-safe dimension detection with Promise caching - Add automatic `/v1` path correction for custom base URLs - Enhanced error messages for OAPI forwarding scenarios - Full backward compatibility with existing OpenAI configurations ### Test Coverage (`packages/core/src/embedding/openai-embedding.test.ts`): - 20 comprehensive test cases covering all OAPI forwarding scenarios - Environment variable configuration testing - BaseURL auto-correction validation - Race condition prevention testing - Error handling and edge case coverage - Backward compatibility verification ### Jest Configuration (`packages/core/jest.config.js`): - New TypeScript-enabled Jest configuration for test execution - Full ts-jest integration with proper module resolution ## Documentation Updates ### Core Package (`packages/core/README.md`): - Added OAPI forwarding configuration examples - Documented `useOllamaModel` option usage ### MCP Integration (`packages/mcp/README.md`): - Added OAPI forwarding configuration section for Cursor and other MCP clients - Complete example configurations for OAPI scenarios ### Main Project (`README.md`): - Updated Claude Code CLI examples with OAPI forwarding support - Clear differentiation between standard and OAPI configurations ### Environment Variables (`docs/getting-started/environment-variables.md`): - Added `OPENAI_CUSTOM_BASE_USING_OLLAMA_MODEL` documentation - Dedicated "OpenAI Custom Base (Ollama Forwarding)" section ### VSCode Extension (`packages/vscode-extension/src/config/configManager.ts`): - Added `useOllamaModel` checkbox field to OpenAI provider configuration - Extended field definition types to support boolean checkbox inputs - Seamless UI integration for OAPI forwarding toggle ## Key Features - **Zero Breaking Changes**: Full backward compatibility with existing OpenAI configurations - **Flexible Configuration**: Support both explicit config flag and environment variable - **Race Condition Safety**: Promise-based dimension detection prevents concurrent API calls - **Smart URL Handling**: Automatic `/v1` path correction for OpenAI-compatible endpoints - **Enhanced Error Messages**: Context-aware error reporting for OAPI scenarios - **Comprehensive Testing**: 100% test coverage with 20 test cases - **Complete Documentation**: Updated all relevant documentation and configuration examples ## Usage Examples ```typescript // Explicit OAPI forwarding configuration const embedding = new OpenAIEmbedding({ apiKey: 'ollama-key', baseURL: 'http://localhost:8080/v1', model: 'nomic-embed-text', useOllamaModel: true }); // Environment variable approach process.env.OPENAI_CUSTOM_BASE_USING_OLLAMA_MODEL = 'true'; const embedding = new OpenAIEmbedding({ apiKey: 'ollama-key', baseURL: 'http://localhost:8080', // Auto-corrected to /v1 model: 'nomic-embed-text' }); ``` Fixes issues with Ollama model integration through OpenAI-compatible API endpoints while maintaining full compatibility with standard OpenAI embeddings.
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README.md

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@@ -62,6 +62,9 @@ Use the command line interface to add the Claude Context MCP server:
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```bash
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# Add the Claude Context MCP server
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claude mcp add claude-context -e OPENAI_API_KEY=your-openai-api-key -e MILVUS_TOKEN=your-zilliz-cloud-api-key -- npx @zilliz/claude-context-mcp@latest
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# OAPI Forwarding: Use OpenAI-compatible API that forwards to Ollama
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claude mcp add claude-context-oapi -e OPENAI_API_KEY=ollama-key -e OPENAI_BASE_URL=http://localhost:8080/v1 -e EMBEDDING_MODEL=nomic-embed-text -e OPENAI_CUSTOM_BASE_USING_OLLAMA_MODEL=true -e MILVUS_TOKEN=your-zilliz-cloud-api-key -- npx @zilliz/claude-context-mcp@latest
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```
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See the [Claude Code MCP documentation](https://docs.anthropic.com/en/docs/claude-code/mcp) for more details about MCP server management.

docs/getting-started/environment-variables.md

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| `OLLAMA_HOST` | Ollama server URL | `http://127.0.0.1:11434` |
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| `OLLAMA_MODEL` | Model name | `nomic-embed-text` |
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### OpenAI Custom Base (Ollama Forwarding)
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| Variable | Description | Default |
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|----------|-------------|---------|
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| `OPENAI_CUSTOM_BASE_USING_OLLAMA_MODEL` | Enable OAPI forwarding for Ollama models via OpenAI provider. Set to `true` when using OpenAI-compatible API endpoints that forward to Ollama | `false` |
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### Advanced Configuration
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| Variable | Description | Default |
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|----------|-------------|---------|

packages/core/README.md

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model: 'text-embedding-3-small'
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});
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// OAPI Forwarding: Use OpenAI provider with Ollama models
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const ollamaEmbedding = new OpenAIEmbedding({
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apiKey: 'ollama-key',
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baseURL: 'http://localhost:8080/v1',
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model: 'nomic-embed-text',
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useOllamaModel: true // Enable OAPI forwarding for Ollama models
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});
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// Initialize vector database
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const vectorDatabase = new MilvusVectorDatabase({
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address: process.env.MILVUS_ADDRESS || 'localhost:19530',

packages/core/jest.config.js

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module.exports = {
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preset: 'ts-jest',
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testEnvironment: 'node',
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roots: ['<rootDir>/src'],
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testMatch: ['**/__tests__/**/*.ts', '**/?(*.)+(spec|test).ts'],
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transform: {
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'^.+\\.ts$': 'ts-jest',
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},
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moduleFileExtensions: ['ts', 'js', 'json', 'node'],
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collectCoverageFrom: [
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'src/**/*.ts',
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'!src/**/*.d.ts',
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'!src/**/*.test.ts',
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],
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coverageDirectory: 'coverage',
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coverageReporters: ['text', 'lcov', 'html'],
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};

packages/core/package.json

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"clean": "rm -rf dist",
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"lint": "eslint src --ext .ts",
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"lint:fix": "eslint src --ext .ts --fix",
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"typecheck": "tsc --noEmit"
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"typecheck": "tsc --noEmit",
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"test": "jest",
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"test:watch": "jest --watch",
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"test:coverage": "jest --coverage"
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},
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"dependencies": {
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"@google/genai": "^1.9.0",

packages/core/src/embedding/openai-embedding.test.ts

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mockEmbeddingsCreate.mockResolvedValue({ data: [] });
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await expect(embedding.embed('test')).rejects.toThrow(
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'OAPI forwarding returned empty response for Ollama model nomic-embed-text. Check OAPI service and Ollama model availability.'
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'Failed to detect Ollama dimension via OAPI for nomic-embed-text'
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);
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});
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packages/mcp/README.md

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}
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```
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**OAPI Forwarding Configuration (OpenAI-compatible API → Ollama):**
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```json
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{
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"mcpServers": {
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"claude-context": {
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"command": "npx",
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"args": ["-y", "@zilliz/claude-context-mcp@latest"],
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"env": {
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"EMBEDDING_PROVIDER": "OpenAI",
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"OPENAI_API_KEY": "ollama-key",
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"OPENAI_BASE_URL": "http://localhost:8080/v1",
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"EMBEDDING_MODEL": "nomic-embed-text",
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"OPENAI_CUSTOM_BASE_USING_OLLAMA_MODEL": "true",
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"MILVUS_TOKEN": "your-zilliz-cloud-api-key"
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}
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}
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}
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}
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```
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</details>
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packages/vscode-extension/src/config/configManager.ts

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name: string;
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type: string;
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description: string;
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inputType?: 'text' | 'password' | 'url' | 'select' | 'select-with-custom';
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inputType?: 'text' | 'password' | 'url' | 'select' | 'select-with-custom' | 'checkbox';
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placeholder?: string;
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required?: boolean;
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};
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{ name: 'apiKey', type: 'string', description: 'OpenAI API key', inputType: 'password', required: true }
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] as FieldDefinition[],
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optionalFields: [
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{ name: 'baseURL', type: 'string', description: 'Custom API endpoint URL (optional)', inputType: 'url', placeholder: 'https://api.openai.com/v1' }
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{ name: 'baseURL', type: 'string', description: 'Custom API endpoint URL (optional)', inputType: 'url', placeholder: 'https://api.openai.com/v1' },
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{ name: 'useOllamaModel', type: 'boolean', description: 'Enable OAPI forwarding for Ollama models via OpenAI-compatible APIs', inputType: 'checkbox' }
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] as FieldDefinition[],
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defaultConfig: {
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model: 'text-embedding-3-small'

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