marcus/config_marcus.cloud.example.json at main · sshbur/marcus · GitHub

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{
  "_comment": "Marcus example config — generic cloud LLM (OpenAI-compatible) + SQLite kanban",
  "_comment2": "Copy to config_marcus.json. Works with any OpenAI-compatible endpoint: Fireworks, Together, Groq, OpenRouter, vLLM, llama.cpp server, etc.",
  "_comment3": "Set MARCUS_CLOUD_LLM_KEY and MARCUS_CLOUD_LLM_URL in env (or fill cloud_api_key / cloud_url below).",
  "_comment4": "ai.model MUST be a model identifier the endpoint accepts. Marcus rejects 'claude-*' here — use the cloud provider's model name.",

  "single_project_mode": true,
  "default_project_name": "Marcus Development",
  "project_name": "Marcus Todo Demo",
  "board_name": "Marcus Todo Demo",
  "auto_find_board": false,

  "ai": {
    "provider": "cloud",
    "cloud_api_key": "${FIREWORKS_API_KEY}",
    "cloud_url": "${FIREWORKS_URL}",
    "model": "${FIREWORKS_MODEL}",
    "temperature": 0.1,
    "max_tokens": 16384,
    "enabled": true
  },

  "kanban": {
    "provider": "sqlite",
    "board_name": "Marcus Todo Demo",
    "planka_base_url": "${PLANKA_BASE_URL}",
    "planka_email": "${PLANKA_EMAIL}",
    "planka_password": "${PLANKA_PASSWORD}",
    "github_token": "${GITHUB_TOKEN}",
    "github_owner": "${GITHUB_OWNER}",
    "github_repo": "${GITHUB_REPO}",
    "linear_api_key": "${LINEAR_API_KEY}",
    "linear_team_id": "${LINEAR_TEAM_ID}"
  },

  "mcp": {
    "kanban_client_path": "~/dev/kanban-mcp/dist/index.js",
    "timeout": 30,
    "retry_attempts": 3
  },

  "features": {
    "events": true,
    "context": true,
    "memory": true,
    "visibility": false
  },

  "memory": {
    "learning_rate": 0.1,
    "min_samples": 3,
    "use_v2_predictions": false
  },

  "transport": {
    "type": "http",
    "http_host": "0.0.0.0",
    "http_port": 4298,
    "http_path": "/mcp",
    "log_level": "info",
    "dual_mode": false,
    "http_enabled": true
  },

  "board_health": {
    "stale_task_days": 7,
    "max_tasks_per_agent": 3
  },

  "multi_endpoint": {
    "human": {
      "port": 4298,
      "host": "0.0.0.0",
      "path": "/mcp",
      "enabled": true
    },
    "agent": {
      "port": 4299,
      "host": "0.0.0.0",
      "path": "/mcp",
      "enabled": true
    },
    "analytics": {
      "port": 4300,
      "host": "0.0.0.0",
      "path": "/mcp",
      "enabled": true
    }
  },

  "hybrid_inference": {
    "pattern_confidence_threshold": 0.8,
    "ai_confidence_threshold": 0.7,
    "combined_confidence_boost": 0.15,
    "max_ai_pairs_per_batch": 20,
    "min_shared_keywords": 2,
    "enable_ai_inference": true,
    "cache_ttl_hours": 24,
    "require_component_match": true,
    "max_dependency_chain_length": 10
  }
}