13114d7868
- Updated .cursor/mcp.json to use local Nix-built Task Master binary - Configured Task Master to use local Ollama models via OpenAI-compatible API - Set up three models: qwen3:4b (main), deepseek-r1:1.5b (research), gemma3:4b-it-qat (fallback) - Created comprehensive integration status documentation - Task Master successfully running as MCP server with 23+ available tools - Ready for VS Code/Cursor AI chat integration
37 lines
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959 B
JSON
37 lines
No EOL
959 B
JSON
{
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"models": {
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"main": {
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"provider": "openai",
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"modelId": "qwen3:4b",
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"maxTokens": 4096,
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"temperature": 0.2,
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"baseURL": "http://grey-area:11434/v1"
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},
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"research": {
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"provider": "openai",
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"modelId": "deepseek-r1:1.5b",
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"maxTokens": 4096,
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"temperature": 0.1,
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"baseURL": "http://grey-area:11434/v1"
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},
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"fallback": {
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"provider": "openai",
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"modelId": "gemma3:4b-it-qat",
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"maxTokens": 4096,
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"temperature": 0.3,
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"baseURL": "http://grey-area:11434/v1"
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}
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},
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"global": {
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"logLevel": "info",
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"debug": false,
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"defaultSubtasks": 5,
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"defaultPriority": "medium",
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"projectName": "Home Lab Infrastructure",
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"ollamaBaseURL": "http://grey-area:11434/v1",
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"bedrockBaseURL": "https://bedrock.us-east-1.amazonaws.com",
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"vertexProjectId": "your-gcp-project-id",
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"vertexLocation": "us-central1",
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"userId": "1234567890"
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}
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} |