DeepCode/deepcode_config.json.example at main · HKUDS/DeepCode · GitHub

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{
  "$comment": "Single source of truth for DeepCode. Copy to deepcode_config.json and fill in at least one provider apiKey. Inline strings work; environment variable references with the dollar-brace syntax are also resolved at load time (see README).",

  "agents": {
    "defaults": {
      "provider": "auto",
      "model": "openai/gpt-5.4",
      "maxTokens": 40000,
      "temperature": 0.1,
      "reasoningEffort": "low",
      "baseMaxTokens": 40000,
      "retryMaxTokens": 32768,
      "maxTokensPolicy": "adaptive",
      "maxToolIterations": 200,
      "maxToolResultChars": 16000,
      "contextWindowTokens": 65536
    },
    "planning": {
      "model": "openai/gpt-5.4"
    },
    "implementation": {
      "model": "openai/gpt-5.4"
    }
  },

  "providers": {
    "openai": {
      "apiKey": "${OPENAI_API_KEY}"
    },
    "anthropic": {
      "apiKey": ""
    },
    "openrouter": {
      "apiKey": "",
      "apiBase": "https://openrouter.ai/api/v1"
    },
    "gemini": {
      "apiKey": ""
    },
    "deepseek": {
      "apiKey": ""
    },
    "zhipu": {
      "apiKey": ""
    },
    "dashscope": {
      "apiKey": ""
    },
    "ollama": {
      "apiBase": "http://localhost:11434/v1"
    },
    "vllm": {
      "apiBase": ""
    }
  },

  "tools": {
    "defaultSearchServer": "filesystem",
    "mcpServers": {
      "code-implementation": {
        "type": "stdio",
        "command": "python",
        "args": ["tools/code_implementation_server.py"],
        "env": {"PYTHONPATH": "."},
        "description": "Paper code reproduction tool server - file operations, code execution, search, etc."
      },
      "code-reference-indexer": {
        "type": "stdio",
        "command": "python",
        "args": ["tools/code_reference_indexer.py"],
        "env": {"PYTHONPATH": "."},
        "description": "Code reference indexer - intelligent code reference search from indexed repositories"
      },
      "command-executor": {
        "type": "stdio",
        "command": "python",
        "args": ["tools/command_executor.py"],
        "env": {"PYTHONPATH": "."}
      },
      "document-segmentation": {
        "type": "stdio",
        "command": "python",
        "args": ["tools/document_segmentation_server.py"],
        "env": {"PYTHONPATH": "."},
        "description": "Document segmentation server - intelligent document analysis and segmented reading"
      },
      "fetch": {
        "type": "stdio",
        "command": "uvx",
        "args": ["mcp-server-fetch"]
      },
      "file-downloader": {
        "type": "stdio",
        "command": "python",
        "args": ["tools/pdf_downloader.py"],
        "env": {"PYTHONPATH": "."}
      },
      "filesystem": {
        "type": "stdio",
        "command": "npx",
        "args": ["-y", "@modelcontextprotocol/server-filesystem", ".", "./deepcode_lab"]
      },
      "github-downloader": {
        "type": "stdio",
        "command": "python",
        "args": ["tools/git_command.py"],
        "env": {"PYTHONPATH": "."}
      }
    }
  },

  "workspace": {
    "root": "./deepcode_lab",
    "maxInputMb": 100
  },

  "documentSegmentation": {
    "enabled": true,
    "sizeThresholdChars": 50000
  },

  "logger": {
    "$comment": "Dual-layer observability. Global file rotates daily under logs/. Per-task files land in deepcode_lab/tasks/<task_id>/logs/{system,llm,mcp}.jsonl and are streamable via the /ws/tasks/{id}/logs WebSocket. Sessions are persisted to ~/.deepcode/sessions/ (override with DEEPCODE_SESSIONS_DIR).",
    "level": "info",
    "progressDisplay": false,
    "transports": ["console", "global_file", "task_file"],
    "globalFile": {
      "enabled": true,
      "pathPattern": "logs/server-{date}.jsonl",
      "rotation": "00:00",
      "retention": "14 days"
    },
    "taskFile": {
      "enabled": true
    },
    "llm": {
      "enabled": true,
      "truncatePreviewChars": 2000
    }
  },

  "llmLogger": {
    "$comment": "Legacy block kept for backward compatibility; the active LLM recorder now lives in core.observability and writes per-task llm.jsonl directly.",
    "enabled": true,
    "outputFormat": "json",
    "logLevel": "basic",
    "logDirectory": "logs/llm_responses",
    "filenamePattern": "llm_responses_{timestamp}.jsonl",
    "includeModels": [],
    "minResponseLength": 50
  }
}